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Free Download Anthropic Prompt Engineering for Developers
Duration: 18m | Video: .MP4, 1920x1080 30 fps | Audio: AAC, 48 kHz, 2ch | Size: 55.6 MB
Genre: eLearning | Language: English
This course covers the use of Claude 3 for software development. It shows how to create effective prompts for
making test cases, generating sample data, debugging and pair programming.

Understanding prompt engineering for large language models (LLM) is critical for success for software developers. It allows for being more productive and efficient. In this course, Anthropic: Prompt Engineering for Developers, you will develop the skills necessary to use Claude 3 for effective coding. This LLM has powerful capabilities for software code understanding and generation.
Homepage

https://pluralsight.com/courses/anthropic-prompt-engineering-developers

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Free Download Anyone Can Sing Vocal Mastery Course
Published 10/2024
Created by Avishaan Naidoo
MP4 | Video: h264, 1280x720 | Audio: AAC, 44.1 KHz, 2 Ch
Genre: eLearning | Language: English | Duration: 13 Lectures ( 37m ) | Size: 817 MB

Let us help you unlock your true potential and make your voice shine. Join us and discover your voice Today
What you'll learn
Master Basic Singing Techniques: develop a solid understanding of fundamental vocal techniques, including breath control, pitch accuracy and Vocal Range
Enhance Intermediate Vocal Skills: refine their intermediate singing techniques, such as vibrato, dynamics, vocal agility, and smooth transition of registers
Develop Advanced Singing Techniques: Learners will master advanced vocal techniques, including belting, falsetto, mixed voice, and stylistic interpretation
Cultivate Performance and Artistic Expression: This will empower them to perform confidently and authentically
Achieve the best singing voice you could possibly have
Requirements
This course has been created for Anyone, especially those you feel or have been told they can't sing and then those who want to sing better and master their voice
Basic or Advanced, from private singing to stage performance
Description
Welcome to the "Anyone Can Sing" Vocal Training Course by Vocal Start Studios! This course is crafted to help beginners unlock their true vocal potential through a structured series of lessons that focus on essential singing techniques.Course StructureThis course is divided into 8 core lessons, each concentrating on a specific aspect of vocal training:Introduction to Vocal TrainingUnderstanding and Developing Resonance (Lessons 1 & 2)Exploring the Head Voice (Lessons 6 & 7)Developing the Mixed Voice (Lesson 7)Strengthening the Chest Voice (Lessons 4 & 5)Breath Control and Support (Lesson 4)Diction and Articulation (Lesson 3)Putting It All TogetherEach lesson includes:Objective: What you'll achieve by the end of the lesson.Content: The main concepts and techniques to learn.Exercises: Practical exercises to help develop your skills.How to Approach Each LessonRead the Objective to understand the goal.Study the Content thoroughly, taking notes as needed.Practice the Exercises consistently until you feel improvement.Record Yourself to track your progress and identify areas for growth.Review Regularly to reinforce your skills and knowledge.Final NoteSinging is a journey, and this course is just the beginning. Embrace the process, enjoy the discoveries, and remember that with continuous practice, anyone can sing!
Who this course is for
This course is anyone who wants to sing, beginner, intermediate and advanced Singers/Performers
Homepage

https://www.udemy.com/course/vocal-start-studios-anyone-can-sing-vocal-course/

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Free Download Apache Tomcat Server - Beginners To Advanced (2024)
Published 10/2024
MP4 | Video: h264, 1920x1080 | Audio: AAC, 44.1 KHz
Language: English | Size: 5.57 GB | Duration: 8h 16m
100% Hand's On + Real Time - Basic To Advance - Admin's Guide - SSL - MOD_JK

What you'll learnLearn how to install and configure Apache Tomcat for various environments.
Understand how to deploy Java-based web applications using WAR files and context configurations.
Explore tools for managing and monitoring Tomcat instances, including the web-based Admin Console.
Learn how to optimize Tomcat for high performance, including thread pool and memory tuning.
Implement security configurations like SSL/TLS, user roles, and secure deployments.
Configure Tomcat logging for troubleshooting and monitor server health using JMX or external tools
Understand how to set up clustering and session replication for fault-tolerant applications.
Learn techniques to diagnose and resolve common server issues, such as deployment errors and performance bottlenecks.
RequirementsNone
DescriptionLooking for Full Course On Tomcat From Basic To Expert Level ? Enroll for the below course.Master Tomcat Administration - The Complete GuideApache Tomcat Administration and Management - Course DescriptionThis comprehensive course is designed to teach participants how to install, configure, manage, and troubleshoot Apache Tomcat, a widely used open-source Java servlet container. The course covers everything from deployment of Java applications, server management, and performance optimization to security and troubleshooting, ensuring participants are equipped to handle Tomcat servers in a production environment.Course Learning Objectives:By the end of the course, participants will be able to:Install and configure Apache Tomcat on various platforms.Deploy Java web applications using Tomcat.Manage and monitor Tomcat instances effectively.Secure Tomcat using best practices, including SSL/TLS and role-based access.Configure Tomcat for high availability with clustering and session replication.Course Content:Introduction to Apache TomcatOverview of Tomcat's role in the Java EE ecosystem.Key features and architecture of Apache Tomcat.Understanding servlet containers and web application servers.Installing and Configuring TomcatInstalling Apache Tomcat on Linux, Windows, and macOS.Configuring key settings like server ports, connectors, and virtual hosts.Managing Tomcat services (start, stop, restart).Understanding the Tomcat directory structure and key configuration files.Deploying Java Web ApplicationsDeploying applications via WAR files and hot deployment.Using Tomcat's Manager application for deployment management.Security Configurations and Best PracticesImplementing SSL/TLS for secure communications.Configuring user authentication and role-based access control.Logging and MonitoringConfiguring Tomcat logging (log4j, java.util.logging).Analyzing access and error logs for troubleshooting.Clustering and High AvailabilitySetting up Tomcat clustering for load balancing and session replication.Configuring sticky sessions and ensuring session failover.Integrating Tomcat with Other TechnologiesConfiguring Tomcat with databases (MySQL, PostgreSQL) for connection pooling.Integrating Tomcat with Apache HTTP Server for load balancing.
OverviewSection 1: Introduction
Lecture 1 Course Complete Document
Lecture 2 Deployment EAR Location
Lecture 3 Apache HTTP Server Download
Lecture 4 JDBC Download
Section 2: Overview of Hardware, Network, Linux, web & App Servers
Lecture 5 Theory - Understanding CPU Linux Commands
Lecture 6 Theory - Understanding Memory HDD Linux Commands
Lecture 7 Theory - Network Architecture
Lecture 8 Theory - Difference btw Web Server VS App Server
Lecture 9 Theory - What Is A Port Number (With Example)
Lecture 10 Theory - Basic Commands In Linux
Section 3: Free VMWARE Based Linux Configuration
Lecture 11 VMware Linux Server Creation
Lecture 12 VMware Linux Server Setup
Section 4: Download & Install Of Java & Tomcat - Windows & Linux
Lecture 13 Hands On - Downloading Tomcat & Java
Lecture 14 Hands On - Installation of Java & Tomcat on Linux
Lecture 15 Hands On - Installation and working with Tomcat in windows
Section 5: Tomcat Configuration Files
Lecture 16 Hands On - Understanding Tomcat Folder Structure
Lecture 17 Hands On - Understanding server.xml
Lecture 18 Hands On - JVM Startup & Understanding Catalina.out
Section 6: Deployment In Tomcat
Lecture 19 Theory - Introduction To Deployment
Lecture 20 Hands On - Auto Deployment & Checking Logs
Section 7: Apache HTTPD 2.4 - Virtual Host
Lecture 21 Theory - Introduction Of HTTP Server 2.4
Lecture 22 Hands On - Installation of HTTP Server 2.4 in binary method
Lecture 23 Hands On - Folder Structure Of HTTP Server 2.4
Lecture 24 Hands On - Virtual Host Introduction For HTTP Server 2.4
Lecture 25 Hands On - Virtual Host Configuration For HTTP Server 2.4
Section 8: SSL On Tomcat
Lecture 26 Theory A Detailed Understanding On SSL
Lecture 27 Hands On - Understanding One Way, Two Way, Keys, Keystore & TrustStore
Lecture 28 Hands On - Real Time SSL Workings
Lecture 29 Hands On - SSL - Tomcat Configuration
Section 9: High-Availability - Clustering
Lecture 30 Theory - Introduction To MOD_JK
Lecture 31 Hands On - Downloading MOD_JK
Lecture 32 Hands On - HTTP Installation & Testing
Lecture 33 Hands On - Download, Install Tomcat
Lecture 34 Hands On - Build & Setup Of MOD_JK Module On Apache HTTP Server
Section 10: High-Availability - LoadBalancing
Lecture 35 Hands On - JK Module Tomcat Setup & Working with Diff. LB Algorithms
Section 11: High-Availability - Session Management - MOD_JK
Lecture 36 Hands On - Enabling Stick Session For MOD_JK
Section 12: Logging Configuration In Tomcat
Lecture 37 Theory - Logs Overall Introduction
Lecture 38 Hands On - Understanding Access Log In Tomcat
Lecture 39 Hands On - Understanding GC Logs
Lecture 40 Hands On - Creating Application Log In Tomcat For Virtual Host
Lecture 41 Hands On - Catalina.out and Catalina.log
Section 13: JDBC On Tomcat
Lecture 42 Theory - JDBC - Introduction To JDBC - Part 1
Lecture 43 Theory - JDBC - Introduction To JDBC - Part 2
Lecture 44 Hands On - Mysql Setup
Lecture 45 Hands On - Tomcat JDCP Configuration - Part 1
Lecture 46 Hands On - Tomcat JDCP Configuration - Part 2
Section 14: Troubleshooting Scenarios
Lecture 47 Disk Space Alerts - Part 1
Lecture 48 Disk Space Alerts - Part 2
Lecture 49 Memory Alerts - Part 1
Lecture 50 Memory Alert - Part 2
Lecture 51 CPU Starvation Alert
Lecture 52 Load Average Explained with Real Time Example
Everyone

Homepage

https://www.udemy.com/course/master-apache-tomcat-administration-the-complete-guide/

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Free Download Apache Web Server For Beginners
Published 10/2024
Created by Mo Khalil
MP4 | Video: h264, 1280x720 | Audio: AAC, 44.1 KHz, 2 Ch
Genre: eLearning | Language: English | Duration: 34 Lectures ( 2h 56m ) | Size: 756 MB

Master Apache HTTP Server: Install, Configure Virtual Hosts, Enhance Security, and Optimize Performance
What you'll learn
Install and configure Apache Web Server on CentOS with automatic startup and proper firewall settings
Understand Apache's directory structure, manage configuration files, and create your first web page
Set up name-based and port-based virtual hosts to host multiple websites on a single Apache server
Enhance server security by implementing TLS/SSL certificates, authentication, access control, and DoS attack mitigation
Requirements
Basic Computer Skills: Comfortable using a computer and navigating the operating system
Access to a Computer with Internet Connection: You'll need to download and install software during the course
No Prior Experience Required: Designed for beginners, no previous knowledge of Apache or web servers is necessary
Description
Discover the power and versatility of the Apache Web Server in our comprehensive course, "Apache Web Server For Beginners." This course is designed to take you from the fundamentals to advanced concepts of managing the Apache HTTP Server, also known as Apache HTTPD. Whether you're a newcomer to web servers or looking to solidify your knowledge, this course offers a structured approach to mastering the Apache Server.We begin with the essentials, introducing you to the world of web servers and the critical role the Apache HTTP server plays in hosting websites. You'll learn how to install Apache on CentOS 7.4 and configure it to start automatically upon system boot. We'll guide you through setting up your firewall to ensure your Apache Server is secure and accessible.Understanding the directory structure is crucial for effective server management. We'll delve into the Apache directory layout and the primary configuration files. You'll create your first web page and understand where and how Apache HTTPD stores your website files.The course then moves on to virtual hosts, a powerful feature that allows you to host multiple websites on a single Apache Web Server. You'll set up both name-based and port-based virtual hosts, giving you the flexibility to manage various domains and subdomains.In the section on aliases and redirects, you'll learn how to configure URL aliases and set up redirects, enhancing the navigation and user experience of your websites. Logging is another vital aspect we'll cover extensively. You'll explore error logs, access logs, and custom logs, and learn how to implement log rotation to maintain optimal performance of your Apache HTTP Server.Security is a paramount concern for any web administrator. We'll teach you the basics of securing your Apache Server, including setting up free TLS/SSL certificates, configuring basic and digest authentication, and implementing access control. You'll also learn how to use .htaccess files from both the administrator and user perspectives, install and configure antivirus software, and mitigate DoS attacks using mod_evasive.Finally, we'll focus on performance and troubleshooting. You'll understand how to optimize Apache HTTPD using Multi-Processing Modules (MPMs) and adjust thehttpd.conf file for better efficiency. We'll show you how to analyze access logs to troubleshoot issues and introduce you to Apachetop, a tool for real-time monitoring of your Web Server traffic.By the end of this course, you'll have a solid foundation in using the Apache HTTP Server. You'll be equipped with the skills to install, configure, secure, and optimize an Apache Web Server, preparing you to handle real-world web hosting scenarios confidently. Join us and take the first step toward becoming an Apache expert!
Who this course is for
Aspiring Web Administrators: Individuals looking to start a career in web server management and administration
IT Professionals and System Administrators: Current IT staff seeking to expand their skills with Apache Web Server setup, configuration, and maintenance
Web Developers: Developers who want to understand server-side operations to better deploy and manage their websites
Students and Educators: Computer science or IT students needing practical knowledge of web servers for academic projects and coursework
Freelancers and Entrepreneurs: Freelancers managing their own web hosting environments
Small Business Owners: Owners who manage their own websites and require a reliable and secure web server solution without relying on third-party hosting services
Tech Enthusiasts and Hobbyists: Individuals passionate about technology who want to learn more about web servers and enhance their technical skills
DevOps Practitioners: Professionals involved in DevOps looking to integrate Apache Web Server into their deployment pipelines and optimize server performance
Homepage

https://www.udemy.com/course/apache-web-server-for-beginners/

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Free Download Apigee Api Management & Application Integration Fundamentals
Published 10/2024
MP4 | Video: h264, 1920x1080 | Audio: AAC, 44.1 KHz
Language: English | Size: 1.06 GB | Duration: 1h 19m
Master API Management and Cloud Integration with Apigee: Explore API Lifecycle, Security, and Integration Strategies.

What you'll learn
Understand the fundamentals of API management and its significance in modern applications.
Gain hands-on experience in setting up and managing APIs with Apigee.
Explore Google Cloud's Application Integration capabilities and how to leverage them.
Learn to design, deploy, and monitor integrations using cloud-native tools and best practices.
Requirements
Basic Understanding of APIs: Familiarity with API concepts and terminology will help in grasping the course material.
Familiarity with Cloud Concepts: Basic knowledge of cloud computing and services will enhance the learning experience.
Experience with Programming: Some experience in a programming language (e.g., Java, JavaScript, or Python) is beneficial for practical exercises.
Access to a Computer: Learners should have access to a computer with internet connectivity for hands-on labs and demonstrations.
Willingness to Learn: An eagerness to explore new technologies and apply learned concepts in real-world scenarios.
Description
Welcome to the Apigee API Management & GCP Application Integration Fundamentals course! This comprehensive program is designed to equip you with essential skills and knowledge in API management and cloud application integration.In today's digital landscape, APIs serve as critical connectors between applications, enabling seamless data exchange and integration. Throughout this course, you will gain a deep understanding of API management principles using Apigee, including the full lifecycle of API development, deployment, and monitoring. We will explore common API use cases and the importance of security and governance in API management.You will also dive into Google Cloud Application Integration, discovering its key features and capabilities. Through hands-on demonstrations, you'll learn to set up an integration environment, design workflows, and manage integrations effectively. Additionally, you will explore advanced topics such as creating custom connectors and leveraging AI-powered integrations to enhance application functionality.By the end of this course, you will have practical experience in building and managing APIs, as well as a solid foundation in cloud application integration. Whether you are an aspiring developer, a business analyst, or a technical manager, this course will empower you to drive digital transformation initiatives in your organization. Join us as we unlock the potential of APIs and cloud technologies together!
Overview
Section 1: Introduction
Lecture 1 Welcome to Apigee API Management & GCP Application Integration Fundamentals
Lecture 2 Meet Your Instructor
Section 2: Apigee API Management Fundamentals
Lecture 3 Chapter Overview
Lecture 4 Understanding APIs
Lecture 5 Common API Management Use Cases
Lecture 6 Full Lifecycle API Management with Apigee
Lecture 7 Understanding the Digital Value Chain
Lecture 8 Seamless Modernization: Unlocking Data
Lecture 9 Designing APIs with the Outside-In Approach
Lecture 10 DEMO: Apigee Environment Setup: Free 60-Day Sandbox Evaluation
Lecture 11 Exploring the Apigee API Proxy
Lecture 12 DEMO: Building an API proxy with Apigee
Lecture 13 Security and Governance in API Management
Lecture 14 Harnessing Application Integration with Apigee
Lecture 15 API Productization: Taking APIs to Market
Lecture 16 Empowering Developers with The Developer Portal
Lecture 17 Designing Your API Monetization Strategy
Lecture 18 Leveraging Out-of-the-Box Analytics in Apigee
Lecture 19 Understanding Apigee Deployment Options: Public Cloud, Hybrid, and Private Cloud
Lecture 20 Advanced API Security
Lecture 21 Apigee: Recognized by Leading Industry Analysts in API Management
Lecture 22 Ensuring API Availability with Apigee
Lecture 23 Anatomy of an API proxy
Section 3: GCP Application Integration Fundamentals
Lecture 24 Chapter Overview: Introduction to Google Cloud Application Integration
Lecture 25 Introduction to Application Integration on Google Cloud
Lecture 26 The Evolution of Application Integration
Lecture 27 Key Features and Capabilities of Application Integration
Lecture 28 The API-First Approach and Use Cases
Lecture 29 What Application Integration is Not
Lecture 30 DEMO: Application Integration Environment Setup - Free Tier
Lecture 31 Navigating the Integration Designer
Lecture 32 Working with Variables and Data Mapping
Lecture 33 Setting Up Triggers and Tasks
Lecture 34 Edge Conditions and Flow Control
Lecture 35 Managing Integration Versions
Lecture 36 Testing and Deploying Integrations
Lecture 37 Alerting and Monitoring
Lecture 38 Consuming Connections via Integration Workflow
Lecture 39 Overview of Integration Connectors
Lecture 40 DEMO: Pre-Built Connector Creation
Lecture 41 Custom Connectors in Google Application Integration
Lecture 42 DEMO: Custom Connector Creation
Lecture 43 Viewing Logs in Cloud Logging
Lecture 44 AI-Powered Integrations in Application Integration
Lecture 45 Masking Sensitive Data in Logs
Lecture 46 Conclusion and Next Steps
Section 4: Wrap-Up
Lecture 47 Course Wrap-Up: Apigee API Management & GCP Application Integration Fundamentals
Aspiring API Developers: Individuals looking to build a solid foundation in API management and gain hands-on experience with Apigee.,Cloud Practitioners: Professionals who want to deepen their understanding of Google Cloud services, specifically in application integration.,Business Analysts: Those involved in digital transformation initiatives seeking to understand how API management and integration can drive business value.,Technical Managers: Leaders looking to enhance their team's capabilities in API management and application integration within cloud environments.,Students and Beginners: Anyone interested in entering the fields of API management and cloud integration, regardless of prior experience, will benefit from the practical insights and hands-on demos provided.
Screenshot
Homepage

https://www.udemy.com/course/apigee-api-management-application-integration-fundamentals/

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Free Download Application Security Posture Management Security from the Supply Chain to Cloud Runtime
Released 10/2024
With James Berthoty
MP4 | Video: h264, 1280x720 | Audio: AAC, 44.1 KHz, 2 Ch
Skill level: Intermediate | Genre: eLearning | Language: English + subtitle | Duration: 1h 54m 35s | Size: 258 MB

Master the details of application security posture management, everything you need to secure an application from code to cloud.
Course details
This course covers the core concepts and skills required to secure a modern, cloud-native application. Join instructor and security engineer James Berthoty as he provides a comprehensive overview of the emerging field of application security posture management (ASPM) and how it integrates a variety of different security tools used to secure applications from supply chain and other threats. Explore the fundamentals of code security, container security, runtime security, and remediating findings. Along the way, test out your new skills in the exercise challenges at the end of each section. Upon completing this course, you'll be prepared to successfully argue for the value of different security tools in your development workflows, as well as implement a full program to operationalize those tools.
Homepage

https://www.linkedin.com/learning/application-security-posture-management-security-from-the-supply-chain-to-cloud-runtime

Screenshot

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Free Download Applications of Generative AI in Learning and Development
Released 10/2024
With Dr. Terri Horton
MP4 | Video: h264, 1280x720 | Audio: AAC, 44.1 KHz, 2 Ch
Skill level: Beginner | Genre: eLearning | Language: English + subtitle | Duration: 34m 44s | Size: 69 MB

Learn to apply generative AI techniques to uncover and analyze learning needs, create strategically aligned learning objectives, and design engaging learning programs.
Course details
In this course, Dr. Terri Horton-a work futurist, consultant, speaker, and author-highlights several ways L&D professionals can harness the power of generative AI to elevate their learning and development programs and initiatives. Learn how to develop and curate high-quality content, construct interactive workshops and training modules, and craft relevant simulations, role plays, and coaching scripts. Gain the skills you need to design assessment tools to evaluate learning effectiveness, ensuring your programs meet organizational goals and learner needs. Plus, access a curated list of generative AI tools tailored for use in learning and development initiatives. By the end of this course, you will be equipped to integrate generative AI tools into your training initiatives to maximize impact and engagement while leading the future of learning in your organization.
Homepage

https://www.linkedin.com/learning/applications-of-generative-ai-in-learning-and-development

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Free Download Applied Computer Vision Object Detection and Recognition
Published 10/2024
Created by Vahid Mirjalili, PhD,Taban Eslami
MP4 | Video: h264, 1280x720 | Audio: AAC, 44.1 KHz, 2 Ch
Genre: eLearning | Language: English | Duration: 44 Lectures ( 2h 14m ) | Size: 853 MB

Object Recognition From Basics to Advanced Techniques
What you'll learnUnderstand the fundamentals of image recognition, including image classification, object detection, and image segmentation (semantic, instance, and panoptic))
Master the underlying theories and principles of key computer vision models, enabling a deep understanding of their functionality and applications
Master PyTorch fundamentals, learn how to build a CNN model, and your custom image dataset
Implement advanced image recognition models and train them in PyTorch
RequirementsPython Programming Experience: Familiarity with programming, particularly in Python, as it's the primary language used with PyTorch. Students should be comfortable with basic programming concepts and structures.
Understanding of Basic Machine Learning Concepts: A foundational knowledge of machine learning principles, including what models are, how they are trained, and a basic understanding of concepts like classification, regression, overfitting, and underfitting.
Introductory Knowledge of Deep Learning: Familiarity with the basic concepts of neural networks, including what they are and how they are generally structured and trained.
DescriptionComputer Vision and Object RecognitionThis course provides a comprehensive journey into computer vision and object recognition, guiding you from the foundational concepts to advanced model implementation and evaluation. Through a hands-on approach, you will explore key computer vision tasks such as image classification, object detection, semantic segmentation, and instance segmentation. The course uses popular datasets like COCO-2017 and CamVid, and frameworks such as PyTorch and FiftyOne to enhance your practical skills.Section 1: Introduction We begin with an overview of the course and object recognition, followed by setting up the necessary environment for efficient implementation.Section 2: Recap of Convolutional Neural Networks (CNNs) This section refreshes your knowledge of CNNs and introduces essential tools like FiftyOne for dataset management, along with tutorials to get familiar with PyTorch.Section 3: Image Classification You will learn to build and train a multi-class image classifier using the COCO-2017 dataset, focusing on classes like cats, dogs, and horses. The classifier is built using a pre-trained ResNet model, demonstrating the process of transfer learning and hyperparameter tuning.Section 4: Object Detection We delve into object detection using two popular models, Faster-RCNN and YOLOv8. You'll prepare datasets, train both models, and analyze their performance using FiftyOne, gaining hands-on experience with both region-based and single-shot detection methods.Section 5: Semantic Segmentation In this section, you will work with the CamVid dataset to understand semantic segmentation, which involves assigning a class to every pixel in an image. Using the segmentation_models_pytorchlibrary, you will train and evaluate a segmentation model to recognize objects in scenes.Section 6: Instance Segmentation We cover instance segmentation, where the goal is to differentiate between multiple instances of the same object class. You'll build and train a Mask-RCNN model for this task, working with segmentation annotations from the COCO-2017 dataset.Throughout the course, we place a strong emphasis on hands-on exercises, real-world datasets, and model evaluation to equip you with the skills needed to tackle practical computer vision challenges. By the end, you will be well-prepared to implement and evaluate various computer vision models, with a solid understanding of the nuances involved in different tasks like classification, detection, and segmentation.
Who this course is forStudents and Learners in Computer Science: Undergraduate or graduate students who are majoring in computer science, data science, artificial intelligence, or related fields and want to gain practical skills in image recognition using PyTorch.
Aspiring Data Scientists and Machine Learning Engineers: Individuals looking to enter the field of data science or machine learning with a specific interest in image processing and recognition techniques.
AI and Machine Learning Enthusiasts: Individuals who have a keen interest in artificial intelligence and machine learning and want to deepen their understanding of image recognition.
Tech Entrepreneurs: Entrepreneurs or innovators looking to understand image recognition to implement or improve product offerings, particularly in tech-driven markets.
Homepage

https://www.udemy.com/course/applied-computer-vision/

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Free Download Applied Yocto Project using Raspberry Pi 5 (Embedded Linux)
Published 10/2024
Created by Mustafa Ozcelikors
MP4 | Video: h264, 1280x720 | Audio: AAC, 44.1 KHz, 2 Ch
Genre: eLearning | Language: English | Duration: 27 Lectures ( 10h 54m ) | Size: 6.1 GB

Explore Embedded Linux using Yocto Project and create powerful systems on Raspberry Pi 5
What you'll learn:
Understand the core philosophy behind Embedded Linux systems from Introductory to Advanced subjects.
Understand why we use Embedded Linux in certain products.
Understand how Linux systems and Raspberry Pi 5 boot.
Grasp how embedded Linux tasks work (unpack, patch, configure, compile, install, deploy, package).
Understand Linux distributions and package managers.
Comfortably handle tasks regarding Yocto Project and its configuration with ease.
Understand how Raspberry Pi 5 layer and board configuration work in Yocto Project (meta-raspberrypi, hardware specs, serial console).
Create your own machine configurations within Yocto Project.
Create your own layers for your Linux distribution.
Comfortably create new recipes for software packages that use multiple build systems (GCC, GNU Make, CMake, PyPi).
Integrate third party software (e.g. GNOME, XFCE, Qt) in Embedded Linux products.
Integrate graphical desktop in your Embedded Linux system.
Deploy system images to Raspberry Pi 5 and work with secure shells and serial console software.
Create patches for existing software packages using DEVTOOL.
Understand how to comfortably understand and modify kernel configurations (Kconfig, config fragments).
Downgrade and upgrade Linux Kernel version of your embedded Linux distribution.
Requirements:
Basic understanding of Linux systems (shell scripts, building software)
Basic understanding of C programming
Description:
Hi,My name is Mustafa Ozcelikors, a Senior Linux & Android Engineer and team leader with more than +8 years of experience working in automotive with Master's Degree in Embedded Systems, who have won Google SOC event in 2017 and who have been actively contributing to open source and commercial projects. I have been using Yocto Project for almost 10 years, dating back to my college years."Applied Yocto Project using Raspberry Pi 5 (with Embedded Linux practices)" is an unique Embedded Linux course unlike any other. The course utilizes drawings, slideshows, diagrams, examples, hands-on applications in order for you to visualize every subject in your mind with ease. Course level starts with beginner, but some advanced topics are also explained.Theoretical subjects are carefully planned and almost for every important subject, multiple block diagrams have been created for better understanding. Almost every figure, schematic, drawing comes from years of experience in the field, not from the internet or from any book. In practical subjects, we take a deep dive in exploring Yocto Project together, and open up a terminal together to achieve things within it.At the end of the course we together will have a custom Linux distribution with distinct machine configuration, kernel, recipe examples, and Qt application.You are in this now for the following great content:Understand the core philosophy behind Embedded Linux systems from Introductory to Advanced subjects.Understand why we use Embedded Linux in certain products.Understand how Linux systems and Raspberry Pi 5 boot.Grasp how embedded Linux tasks work (unpack, patch, configure, compile, install, deploy, package).Understand Linux distributions and package managers.Comfortably handle tasks regarding Yocto Project and its configuration with ease.Understand how Raspberry Pi 5 layer and board configuration work in Yocto Project (meta-raspberrypi, hardware specs, serial console).Create your own machine configurations within Yocto Project.Create your own layers for your Linux distribution.Comfortably create new recipes for software packages that use multiple build systems (GCC, GNU Make, CMake, PyPi).Integrate third party software (e.g. GNOME, XFCE, Qt) in Embedded Linux products.Integrate graphical desktop in your Embedded Linux system.Deploy system images to Raspberry Pi 5 and work with secure shells and serial console software.Create patches for existing software packages using DEVTOOL.Understand how to comfortably understand and modify kernel configurations (Kconfig, config fragments).Downgrade and upgrade Linux Kernel version of your embedded Linux distribution.Thank you very much for your interest! I hope to see you in the first lecture!Kindly yours,M.Eng Mustafa Ozcelikors
Who this course is for:
Embedded Linux professionals who want to get started with Yocto Project
Embedded Linux professionals who appreciate a great wrap-up
Aspiring embedded system developers who would like to start with Embedded Linux development
Hobbyists that would like to create Raspberry Pi 5 based Embedded Linux products
Homepage

https://www.udemy.com/course/yocto-project/

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Free Download Apprendre Symfony 6 Sans Blabla!
Dernière mise à jour : 1/2024
MP4 | Video: h264, 1920x1080 | Audio: AAC, 44.1 KHz
Language: Français | Size: 4.57 GB | Duration: 8h 58m
Maitrisez les concepts fondamentaux en Symfony 6 par la pratique, sans blabla!

What you'll learn
Développer de puissants sites webs en un rien de temps
Mettre en place un backoffice
Gérer une base de données relationnelle avec les commandes Symfony
Découvrir les différentes facettes du framework
Acquérir les bonnes pratiques en Symfony
Requirements
N'hésitez pas à regarder nos vidéos en HTML5 si vous ne maitrisez les différents éléments du DOM et en PHP. Pour le reste, tout ce dont vous avez besoin de savoir pour maitriser le framework PHP vous sera expliqué pas à pas!
Description
Développez de puissants sites web en un rien de temps !Symfony est un framework PHP basé sur le modèle MVC (Model View Controller) qui vous permettra de créer de sublimes site web tout en assurant la gestion de vos bases de données ! Et c'est signé made in France !Si vous souhaitez entreprendre une carrière en tant que développeur full-stack, vous devez apprendre Symfony !Notre équipe a mis en place pour vous un cours complet, divertissant dans lequel vous apprendrez pas à pas les dernières bonnes pratiques en Symfony en partant de zéro. Apprenez les fondamentaux et mettez en pratique chaque concept clé en quelques heures seulement et créez vos premières pages web !Ce cours décortique chaque notion clé en un cours accessible et concret avec des exemples de la vie de tous les jours, au travers d'exercices ludiques dans lesquels chaque correction sera abordée pas à pas ! Pas de bla-bla ici, que du concret !Pour cette formation sur Symfony, je vous laisse au côté de notre expert Mathieu, avec qui vous développerez un projet fil rouge tout au long des vidéos!Vous êtes prêts? alors installez-vous confortablement sur votre chaise et à vos claviers et éditeurs de texte, c'est partie !
Overview
Section 1: Qui suis-je?
Lecture 1 Qui suis-je?
Section 2: Présentation du framework
Lecture 2 Qu'est-ce que Symfony?
Section 3: Installation sous Mac
Lecture 3 Installer Mamp
Lecture 4 Installer php
Lecture 5 Installer composer
Lecture 6 Installer Symfony CLI
Section 4: Installation sous Windows
Lecture 7 Installer un server Web local
Lecture 8 Installer Composer
Lecture 9 Installer Symfony CLI
Lecture 10 Installer Node JS
Lecture 11 Installer Cmder
Lecture 12 Configurer Git
Lecture 13 Autres configurations
Section 5: Comprendre le framework Symfony
Lecture 14 Créer un projet Symfony
Lecture 15 Lancer une application Symfony
Lecture 16 Installer d'extensions
Lecture 17 Découvrir l'architecture Symfony
Lecture 18 Les dépendances Symfony
Section 6: Création de notre première page
Lecture 19 Le MakerBundle
Lecture 20 02 - Générer un controller
Lecture 21 Les annotations
Section 7: Gestion du controller
Lecture 22 Méthodes et réponse
Lecture 23 Ajouter une route à un controller
Lecture 24 Url avec paramètre dynamique
Lecture 25 Débugger notre paramètre dynamique avec Symfony
Lecture 26 Valider les paramètres de ma route
Lecture 27 Créer des variables pour ma vue
Lecture 28 Afficher un tableau dans notre vue
Lecture 29 Définir des routes mutliples
Section 8: Le moteur de template Twig
Lecture 30 Présentation
Lecture 31 Les variables Twig
Lecture 32 La notion de blocks
Lecture 33 Utiliser Bootstrap
Lecture 34 Javascript & CSS
Lecture 35 Les routes avec Twig
Lecture 36 Les autres blocks essentiels
Lecture 37 Afficher la liste d'événements en respectant l'architecture Twig
Lecture 38 Gérer la page 'Détail d'un événement' avec le système de block
Lecture 39 Créer des liens dynamiques pour accéder aux détails d'un événement
Lecture 40 Types de données et méthodes prédéfinies
Lecture 41 La concaténation avec Twig
Lecture 42 Affichage sous condition
Section 9: Les Services
Lecture 43 Les Services
Lecture 44 Les Services existants
Lecture 45 Créer son propre service
Lecture 46 Finalisation de notre route
Lecture 47 Renvoyer une erreur 404
Section 10: Gestion des bases de données
Lecture 48 Les bases de données avec Symfony
Lecture 49 Installation de l'ORM Doctrine
Lecture 50 Configuration de la base de données
Lecture 51 Création de la base de données
Lecture 52 Création des entités
Lecture 53 Modifier une propriété
Lecture 54 Création des dernières entités
Lecture 55 Gestion des migrations
Lecture 56 Gérer les relations entre les tables
Lecture 57 Gérer une relation Many to Many
Lecture 58 Générer et appliquer une migration
Lecture 59 Créer un premier événement
Lecture 60 Sélectionner notre évènement la BDD
Lecture 61 Sélectionner un événement par son ID
Section 11: Mettre en place de fausses données avec DataFaker
Lecture 62 Générer de fausses données avec Faker PHP
Lecture 63 Installation
Lecture 64 Fonctionnement
Lecture 65 Optimiser nos fixtures
Lecture 66 Créer de faux événements
Lecture 67 Associer un événement à une ou plusieurs catégories aléatoires
Section 12: Gestion des formulaires
Lecture 68 Designer l'application avec Bootstrap
Lecture 69 Afficher les données manquantes sur nos cards
Lecture 70 Afficher le détail d'un événement
Lecture 71 Afficher la liste des catégories
Lecture 72 Créer un événement via un formulaire
Lecture 73 Associer les types aux champs
Lecture 74 Pré-remplir un formulaire
Lecture 75 Créer notre classe de formulaire
Lecture 76 Customiser notre formulaire
Lecture 77 Appliquer un thème à notre formulaire
Lecture 78 Validation des données
Lecture 79 Persister et valider les données du formulaire
Lecture 80 Traduire les message d'erreurs
Lecture 81 Modifier un événement
Lecture 82 Supprimer un événement
Section 13: Aller plus loin dans la gestion des formulaires
Lecture 83 Gérer les options d'un select
Lecture 84 Radio, Checkbox and Select
Lecture 85 Ajouter un input type file
Lecture 86 Gérer l'ajout de fichier
Lecture 87 Afficher les images uploadées
Lecture 88 Gérer la modification d'une image
Lecture 89 Gérer la suppression d'une image
Section 14: Gestion des requêtes HTTP
Lecture 90 Les requests
Lecture 91 Récupérer les données d'un formulaire avec la request de Symfony
Lecture 92 Filtrer les données avec le Query Builder de Symfony
Section 15: Envoyer des emails avec Symfony
Lecture 93 Envoyer un mail avec Symfony
Lecture 94 Mettre en place le formulaire d'envoi
Lecture 95 Configuration et validation du formulaire
Lecture 96 Envoyer un mail avec Mailer
Lecture 97 Configurer et debugger l'envoi de mail
Lecture 98 Débugger l'envoi de mail avec MailDev
Lecture 99 Envoyer un contenu HTML
Section 16: Gestion de la sécurité avec Symfony
Lecture 100 La sécurité dans Symfony
Lecture 101 Création de l'entité User
Lecture 102 Créer un user avec les fixtures
Lecture 103 Gérer l'authentification du User
Lecture 104 Gérer l'inscription du User
Lecture 105 Etre connecté directement après l'inscription
Lecture 106 Finaliser l'inscription
Lecture 107 Protéger nos routes
Lecture 108 Réinitialiser un mot de passe
Lecture 109 Traduction des autres formulaires
Section 17: Gestion de la session avec Symfony
Lecture 110 Les messages flash et la session
Lecture 111 La session utilisateur
Lecture 112 Associer un utilisateur connecté à un événement
Section 18: Gestion des assets avec Symfony
Lecture 113 Gestion des assets avec Symfony
Lecture 114 Les commandes Web Pack Encore
Lecture 115 La compilation du code Javascript
Lecture 116 Saas et Symfony Encore
Lecture 117 Installer Bootstrap
Lecture 118 Gérer la compilation du code Javascript
Lecture 119 Installer jQuery
Section 19: Mise en place d'un backoffice avec EasyAdmin
Lecture 120 Créer un backOffice avec EasyAdmin
Lecture 121 Créer le Dashboard Controller
Lecture 122 Créer un controller CRUD
Lecture 123 Configurer les labels et les colonnes du backoffice
Lecture 124 Gérer toutes nos entités
Lecture 125 Gérer nos utilisateurs
Lecture 126 Gérer nos événements
Lecture 127 Limiter l'accès à notre backOffice
Lecture 128 Customiser la page Dashboard
Toute personne souhaitant démarrer une carrière de développeur back-end ou full-stack,Toute personne souhaitant apprendre un framework back-end basé sur le modèle mvc,Toute personne familière avec les langages de programmation ou l'univers du web,Toute personne en recherche de bonnes pratiques,Toute personne voulant vérifier ses acquis ou se mettre à jour avec les versions actuelles de Symfony,Toute personne voulant à la fois développer la partie front-end et back-end de son projet web
Screenshot
Homepage

https://www.udemy.com/course/apprendre-symfony-6-sans-blabla/

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Free Download Apprendre Symfony 6 by Huynh Yvon
Dernière mise à jour : 5/2024
MP4 | Video: h264, 1920x1080 | Audio: AAC, 44.1 KHz
Language: Français | Size: 3.00 GB | Duration: 7h 33m
Apprenez en créant une application MVC en orienté objet avec le Framework Symfony

What you'll learnApprendre à créer une application Symfony
Apprendre les templates Twig
Apprendre l'ORM de Symfony Doctrine
Apprendre à coder les routes d'un controller
RequirementsAvoir les connaissance de base de PHP
DescriptionJ'ai travaillé 12 ans dans le développement web, puis je suis devenu formateur depuis 4 ans dans le développement web à plein temps, je vous apprends avec simplicité comment développer de façon professionnelle.Le framework Symfony bénéficie de plus de dix ans de savoir faire de leurs créateurs, c'est un framework qui utilise à plein les concepts de programmation orientée objet. C'est donc un très bon framework PHP pour manipuler les concept jusque là réservé à Java ou C#.Vous apprendrez non seulement les bases de la programmation objet, mais aussi beaucoup de design pattern, MVC comme model-vue-controller qui permet de développer de grosses applications, la notion d'ORM avec Doctrine, la programmation événementielle, l'injection de dépendance entre autre.Symfony permet la création d'un système d'authentification très rapidement, vous évitant de perdre des semaines de code, avec in fine un système moins robuste.On verra d'autres choses intéressante comme l'envoi d'email, l'upload d'image, la création d'un service, Symfony étant orienté service, vous êtes en architecture orientée service.Enfin on verra comment déployer une application Symfony sur un serveur via git.(vous aurez un mini cours sur Git ne vous inquiétez pas).Les cours en vidéo expliquent de façon très clair toutes les manipulations (complexes)
OverviewSection 1: Mise en place de l'environnement
Lecture 1 Introduction
Lecture 2 Présentation du framework Symfony 6
Lecture 3 Qu'est ce qu'un framework MVC?
Lecture 4 Rappel de programmation PHP orienté objet - Introduction
Lecture 5 Rappel de programmation PHP orienté objet - Classe, Objets et héritage
Lecture 6 Rappel de programmation PHP orienté objet - Interfaces
Lecture 7 Rappel de programmation PHP orienté objet - Architecture orientée services
Lecture 8 Rappel de programmation PHP orienté objet - Injection de dépendance
Lecture 9 Installation de Laragon sous Windows
Lecture 10 Installation de Composer
Lecture 11 Installation sous Linux
Lecture 12 Installation de VSCode
Section 2: Codage de l'application Symfony
Lecture 13 Création de votre projet Symfony avec Composer
Lecture 14 Création de votre projet Symfony avec Symfony CLI
Lecture 15 Mise à jour de PHP vers PHP 8.2
Lecture 16 Versionnez votre code
Section 3: Création de la première page et de la base de données
Lecture 17 Structure de répertoire d'un projet Symfony
Lecture 18 Création de la première page et de la base de données
Lecture 19 Création d'un controller
Lecture 20 Les annotations, routes et slug
Lecture 21 Le code HTML avec le templating TWIG
Lecture 22 Exercice - Création d'une page
Lecture 23 Correction Exercice Création d'une page
Section 4: L'entité spéciale User
Lecture 24 Création de l'entité spéciale User avec make
Lecture 25 Entité et Repository
Lecture 26 Création du script de migration et migration effective
Section 5: Création d'entité Product et Category avec cardinalité
Lecture 27 Création de l'entité Product
Lecture 28 Exercice : Création de l'entité Category
Lecture 29 Correction Création de l'entité Category
Lecture 30 Migration des entités Product et Category
Lecture 31 Défaire une migration Doctrine
Section 6: Authentification
Lecture 32 Création de l'authentification pour User
Lecture 33 Créer des données avec la classe Fixture
Lecture 34 Hydration de l'entité User avec mot de passe hashé
Lecture 35 Exercice
Lecture 36 Créer d'autres utilisateurs avec les fixtures
Lecture 37 Correction de l'exercice
Section 7: Les formulaires Part 1
Lecture 38 Création de formulaire
Lecture 39 Amélioration de ProductType
Lecture 40 Fonction insertion de produit
Lecture 41 Exercice Création du formulaire pour l'entité Category
Lecture 42 Correction exercice
Section 8: Les formulaire Part 2
Lecture 43 Intégration de Bootstrap
Lecture 44 Les messages Flash
Lecture 45 Widgets selection de date et heure 1/2
Lecture 46 Widgets selection de date et heure 2/2
Lecture 47 Edition et suppression de catégorie 1/2
Lecture 48 Edition et suppression de catégorie 2/2
Lecture 49 Upload d'images 1/2
Lecture 50 Upload d'images 2/2
Section 9: Protgéger l'accès à certaines pages de votre site
Lecture 51 Exercice : Mettre au propre la Navbar
Lecture 52 Corrigé exercice
Lecture 53 Exercice : afficher l'utilisateur connecté à droite de la Navbar
Lecture 54 Corrigé exercice
Lecture 55 Exercice : Ajout d'un lien de déconnexion
Lecture 56 Corrigé exercice lien déconnexion
Lecture 57 Gérer les droits d'accès aux pages 1/2
Lecture 58 Gérer les droits d'accès aux pages 2/2
Section 10: Les formulaires Part 3
Lecture 59 Exercice : Création du CRUD pour le User
Lecture 60 Correction exercice CRUD User
Lecture 61 CRUD User (suite)
Lecture 62 Edition du User
Section 11: L'implémentation du MVC dans Symfony
Lecture 63 MVC à la sauce Symfony
Section 12: Plus loin avec le moteur de template Twig
Lecture 64 Elements de langage Twig
Lecture 65 Twig IF et les objets et tableaux
Lecture 66 Héritage de template et les blocks
Lecture 67 Inclusions de templates
Section 13: Envoi d'emails avec Symfony
Lecture 68 Configuration du SMTP de Gmail
Lecture 69 Configuration du SMTP de Mailjet
Lecture 70 Envoi d'emails avec Symfony
Lecture 71 Envoi d'email avec la librairie PHPMailer
Section 14: Travailler avec les services dans Symfony
Lecture 72 Créer un service MessageGenerator
Lecture 73 Créer un service avec une librairie tierce via l'héritage
Lecture 74 Configurer un service dans Symfony
Lecture 75 Exercice
Lecture 76 Corrigé exercice
Section 15: Déployer votre application Symfony
Lecture 77 Les dossier /var
Lecture 78 L'environnement de développement et de production
Lecture 79 Déploiement via FTP
Lecture 80 Déploiement avec Git et CPanel
Lecture 81 Clonage d'un repository privé de Github
Lecture 82 Composer install et fichier .env
Section 16: Notions avancées dans Symfony
Lecture 83 Changement du mot de passe de l'utilisateur
Lecture 84 Correction exercice mot de passe
Lecture 85 Les événement de formulaire
Lecture 86 Les événements avec les Subscriber 1/2
Lecture 87 Les événements avec les Subscriber 2/2
Lecture 88 Conclusion sur les Subscriber
Lecture 89 Les événements avec les Event Listener
Lecture 90 Subscriber ou Listener?
Section 17: Le mot de la fin
Lecture 91 Félicitation, vous avez fait un grand ps dans le MVC et la POO !
Débutant en PHP, développeur Wordpress, développeur front end

Homepage

https://www.udemy.com/course/apprendre-symfony-6/

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Free Download Apprendre a programmer en Python et realiser 4 projets reels
Last updated 2/2024
Created by skilldeve | Enseignant universitaire | Développeur | Data Scientist
MP4 | Video: h264, 1280x720 | Audio: AAC, 44.1 KHz, 2 Ch
Genre: eLearning | Language: French + subtitle | Duration: 194 Lectures ( 27h 5m ) | Size: 7.16 GB

Python procédural | Python Orienté Objet | 4 projets complets | 11 QCM et 41 exercices corrigés
What you'll learn
Apprenez les fondamentaux du langage Python,
Apprenez à utiliser Python 3 de manière professionnelle,
Comprenez comment créer vos propres programmes Python,
Apprenez la programmation orientée objet (POO) en Python,
Apprenez les interfaces graphiques,
Apprenez comment gérer les bases de données en Python,
Apprenez comment créer des applications de bureau python en POO.
Requirements
Aucune expérience en programmation nécessaire - je vous apprendrai tout ce que vous devez savoir,
Un ordinateur Mac ou PC avec accès à Internet,
Aucun logiciel payant requis - Je vais vous expliquer étape par étape comment installer et configurer tous les logiciels
Description
Avec plus de 27 heures, ce cours Python est sans aucun doute le cours Python le plus complet disponible en ligne. Même si vous n'avez aucune expérience en programmation, ce cours vous mènera du débutant au professionnel.Le but de ce cours est de vous faire partir de zéro et de vous aider à devenir un développeur Python. Nous y parviendrons en adoptant une pédagogie basée sur notre longue expérience dans la formation, en vous expliquant chaque notion à partir de zéro, étape par étape et en créant de véritables applications (projets). Vous aurez plus de 50 exercices de code à réaliser de manière interactive. Si Vous êtes bloqués, vous pouvez consulter la solution mise à votre disposition. Vous pouvez poser des questions à tout moment dans les questions-réponses et le formateur interviendra pour vous aider. Chaque notion est présentée et expliquée de manière très simples à comprendre.Vous apprendrez tout le processus de développement de programme en Python. Il y aura 4 applications que nous allons créer ensemble pour mettre en pratique les connaissances que vous aurez appris.En s'inscrivant à ce cours, vous aurez accès à vie à toutes ses vidéos, ses exercices de codage, ses quiz, ses scripts de codes sources, le forum de questions-réponses à l'intérieur du cours. En plus de cela, vous êtes couvert par la garantie de remboursement Udemy de 30 jours, vous pouvez donc facilement vous désinscrire si vous n'êtes pas satisfait et vous serez totalement remboursés.Pour devenir développeur Python, vous devez au moins maitriser tous les fondamentaux du langage Python, la programmation orienté objet en python, la gestion des bases de données en Python et les interfaces graphiques en Python. Il n'y a pas d'autre cours qui vous enseigne tout cela en une seule formation. Inscrivez-vous et commencez à apprendre le langage fantastique de programmation Python dès aujourd'hui !Le cours sera constamment mis à jour avec du nouveau contenu, avec de nouveaux projets et modules proposés par les étudiants - c'est à vous !Pour plus d'informations visitez mon site Web proformations dot fr
Who this course is for
Tous ceux qui souhaitent apprendre Python à partir de zéro
Développeurs Python débutants qui souhaitent se perfectionner
Homepage

https://www.udemy.com/course/python-la-formation-complete-2021-de-zero-a-confirme/

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Free Download Apprendre le Japonais pas-a-pas pour les debutants
Last updated 11/2023
Created by Wonderful Japan
MP4 | Video: h264, 1280x720 | Audio: AAC, 44.1 KHz, 2 Ch
Genre: eLearning | Language: French | Duration: 40 Lectures ( 6h 5m ) | Size: 6.2 GB

Cours de japonais pour apprendre facilement les bases de la langue sans être un génie
What you'll learn
Savoir lire et écrire les deux syllabaires japonais : les Hiragana et les Katakana
Connaître la bonne prononciation de la langue japonaise
Savoir s'exprimer et construire ses propres phrases en japonais
Connaître la grammaire de base de la langue japonaise
Se familiariser avec les Kanji et leur utilisation
Connaître le vocabulaire de base
Requirements
Aucune expérience ou compétence n'est nécessaire pour suivre cette formation qui est destinée aux débutants. L'étudiant apprendra tout ce dont il a besoin au fur et à mesure de sa progression.
Description
Cette formation est conçue pour les débutants qui partent de 0 et qui veulent apprendre la langue japonaise étape par étape, de manière progressive et intuitive.Elle comprend une initiation pour apprendre les bases de la lecture et de l'écriture japonaise en utilisant les deux alphabets syllabaires "hiragana" et "katakana". Vous saurez ainsi lire et écrire des mots japonais de base, ainsi que prononcer les sons et les intonations de la langue. Des fiches avec des exercices et des jeux ludiques vous aideront donc à maîtriser les caractères japonais efficacement.Vous allez aussi acquérir une connaissance solide de la grammaire japonaise grâce à des leçons vidéos claires et faciles à comprendre. Les ressources en ligne vous permettront ainsi de progresser à votre rythme et sans aucune contrainte.D'après les recherches effectuées par le très réputé groupe Brandon-Hall, les étudiants ayant recours à l'apprentissage en ligne ont la possibilité d'assimiler les connaissances à leur propre rythme, ce qui leur permettrait d'économiser jusqu'à 60 % de leur temps par rapport à un cadre d'apprentissage traditionnel.Mais ce n'est pas tout ! Les étudiants qui utilisent la stratégie du "e-learning" réussissent à assimiler au moins cinq fois plus d'informations que ceux qui utilisent des méthodes d'apprentissage ordinaires.Cette augmentation significative de la capacité d'assimilation est une véritable révolution dans le domaine de l'éducation. Avec une telle opportunité entre vos mains, il est temps de plonger dans le monde de l'apprentissage en ligne et de découvrir tout ce qu'il peut vous offrir. Profitez de cette nouvelle ère et laissez votre curiosité vous guider vers de nouveaux horizons.
Who this course is for
Cette formation s'adresse à tous passionnés du Japon et de la culture japonaise qui souhaitent apprendre le japonais
Homepage

https://www.udemy.com/course/apprendre-le-japonais-pas-a-pas-pour-les-debutants/

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Free Download Arbitrage Strategies Profit Techniques in Diverse Markets
Published 10/2024
MP4 | Video: h264, 1280x720 | Audio: AAC, 44.1 KHz, 2 Ch
Language: English | Duration: 1h 16m | Size: 295 MB
Unlock the potential of arbitrage strategies with in-depth insights into quantitative and relative value approaches.

What you'll learn
Fundamentals of Arbitrage: Understand the basic concepts of arbitrage, including its definition, importance, and underlying principles that make it viable.
Types of Arbitrage Strategies: Explore various arbitrage strategies, such as quantitative, relative value, convertible, fixed income, mortgage, equity.
Quantitative Analysis: Gain insights into quantitative strategies and the importance of refining data to identify arbitrage opportunities effectively.
Risk Assessment: Understand the advantages and disadvantages of different arbitrage strategies, focusing on risk management techniques to minimize loss.
Real-World Applications: Examine practical examples of arbitrage strategies in action, including case studies that illustrate successful implementation.
Market Inefficiencies: Learn how to identify and exploit market inefficiencies and price discrepancies across different asset classes and financial instruments.
Tools and Techniques: Get familiar with various tools and software used for arbitrage trading, including data analytics platforms and trading algorithms.
Regulatory Considerations: Understand the legal and regulatory framework surrounding arbitrage, including compliance with financial regulations.
Developing a Trading Plan: Learn how to create and implement a structured trading plan based on arbitrage strategies, focusing on goals, risk management.
Ethical Considerations: Discuss the ethical implications of arbitrage trading and its impact on market stability and integrity.
By the end of the course, students will be equipped with the knowledge and skills to identify, analyze, and capitalize on arbitrage opportunities.
Requirements
Basic Knowledge of Finance: Students should have a foundational understanding of financial concepts, including stocks, bonds, and derivatives. Familiarity with financial markets and instruments is essential.
Mathematical Proficiency: A strong grasp of basic mathematics, statistics, and financial mathematics is required. Students should be comfortable with calculations involving percentages, ratios, and basic statistical measures.
Understanding of Investment Principles: Prior knowledge of investment principles, including risk and return, portfolio theory, and market efficiency, will be beneficial for grasping more advanced concepts.
Familiarity with Excel or Financial Software: Proficiency in Microsoft Excel or similar spreadsheet software is necessary for data analysis and quantitative modeling throughout the course.
Interest in Quantitative Analysis: An interest in quantitative methods and data analysis will enhance the learning experience, as students will engage in refining data and applying statistical techniques.
Description
Arbitrage is a fundamental concept in financial markets, allowing traders and investors to exploit price differences in various instruments for profit. This course, "Mastering Arbitrage Strategies," offers a comprehensive exploration of different arbitrage techniques, from foundational quantitative strategies to advanced relative value and convertible arbitrage tactics. Whether you're a beginner in finance or an experienced professional, this course equips you with the knowledge and skills to apply these strategies effectively in real-world scenarios.Section 1: Introduction to Arbitrage StrategiesThis section provides an introduction to arbitrage strategies, explaining their significance in financial markets and why they are critical for capitalizing on inefficiencies. The concept of risk-free profit through arbitrage is unpacked in detail, giving students a strong foundational understanding.Section 2: Quantitative StrategyIn this section, students dive into quantitative strategies, focusing on how statistical models and data analysis are used to identify arbitrage opportunities. Lecture 2 outlines the basics of using data to drive arbitrage, followed by Lecture 3, which emphasizes data refinement for better accuracy. Lecture 4 explores the strengths and weaknesses of quantitative strategies, helping students assess the risk and reward of this approach.Section 3: Relative Value Strategy and Convertible ArbitrageThe course progresses into more specialized arbitrage techniques. Relative Value Strategy is explained in Lecture 5, which involves comparing assets to find discrepancies in their pricing. Lectures 6 and 7 break down Convertible Arbitrage, where students learn how to balance the purchase of convertible securities with short-selling the corresponding stock to lock in profits. Fixed Income Arbitrage (Lecture 8) and Mortgage Arbitrage (Lecture 9) offer insights into strategies used with bonds and mortgage-backed securities. Moving into derivative markets, Lecture 10 introduces Stock Index Futures Arbitrage, explaining how traders profit from discrepancies between futures and underlying indices. Lecture 11 covers Corporate Spread and Treasury Arbitrage, while Lecture 12 introduces Equity Arbitrage, focusing on opportunities in stock price differences across markets.Conclusion:By the end of the course, students will have a comprehensive understanding of arbitrage strategies, including their application in different financial instruments and markets. With practical examples and step-by-step breakdowns, students will be equipped to implement arbitrage strategies, refining their financial acumen and improving their market participation.This course serves as a critical tool for those looking to deepen their expertise in arbitrage, whether for personal financial growth or as part of a larger trading strategy.
Who this course is for
Finance Professionals: Individuals working in finance, investment banking, or asset management who wish to deepen their understanding of arbitrage strategies and enhance their trading skills.
Investors and Traders: Retail investors or traders looking to explore advanced trading techniques and strategies to capitalize on market inefficiencies for profit.
Students in Finance or Economics: Undergraduate or graduate students pursuing degrees in finance, economics, or related fields who want to gain practical knowledge of financial arbitrage concepts.
Quantitative Analysts: Professionals or aspiring analysts in quantitative finance who are interested in developing quantitative strategies and applying statistical methods in trading.
Risk Management Professionals: Individuals in risk management roles seeking to understand how arbitrage can mitigate risk in investment portfolios.
Financial Educators and Trainers: Educators or trainers who aim to incorporate arbitrage strategies into their curriculum or training programs.
Homepage

https://www.udemy.com/course/arbitrage-strategies-profit-techniques-in-diverse-markets/

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Free Download Art Therapy ; A Journey Of Self-Discovery
Published 10/2024
MP4 | Video: h264, 1920x1080 | Audio: AAC, 44.1 KHz
Language: English | Size: 5.49 GB | Duration: 2h 42m
Art as Insight: Unlocking Personal Growth through Art Therapy

What you'll learn
Through the use of art they will learn about themselves
Steps to improve self-esteem and reduce anxiety
Steps to improve resilience
How to monitor their progress during and after the therapeutic exercises
Requirements
Art Materials
Patience
A quiet space so you can fully focus
Description
In this brief Art Therapy course we go on a journey, a journey of self-discovery. To help us there are numerous art therapy exercises, beautiful scenery (as part of the exercise) films/film clips/ films with alternate endings. Plus Case Studies.But - what is actually covered?How Art Therapy helps with emotional release, self-discovery, stress reduction and improved cognitionStructured ways to reflect on your journeyHow to track your mood during and after the art therapy exercisesStructured journallingSand artUrban rhythmsA nature walkThe exploration of themes of conflict, co-operation and resolutionThe processing of past experiences where significant risks have been takenPersonal growth, self-awareness, understanding and gradual developmentHow to process stress and escalating situationsTurning negatives into positivesRephrase and reframeFostering connections and reducing lonelinessBut the above are just the topics. Within the lectures there are many reflective questions and questions for discussion.In the resources are case studies, eve more art therapy exercises, links to further research.So, the lectures you see (including the Previews) are only PART of the whole course. There are many other resources but the most important resources is - you.If you decide to enrol please make sure you Do the exercises, THINK about the Case Studies and post answers in the Q/A.Also respond to the posts of other students and then together wall go on a journey, different journeys but in a way, all the same.About Self.
Overview
Section 1: Introduction
Lecture 1 Introduction
Section 2: Let's start
Lecture 2 Reflect, reflect, reflect
Lecture 3 Tracking mood changes
Lecture 4 Sand Art
Lecture 5 Sand Art Exercise stand alone
Lecture 6 Urban rhythms canvas
Lecture 7 Nature's Mansion
Lecture 8 Magpie Moments
Lecture 9 Reflections in Motion
Lecture 10 Leap and Land
Lecture 11 The Pill
Lecture 12 Facing the barrels
Lecture 13 Rephrase and reframe
Lecture 14 Shared secrets
Lecture 15 Shared tapestry
Section 3: Conclusion
Lecture 16 Conclusion
Anyone lonely, lost, depressed,Anyone interested to find out more about themselves and then grow,Students of Art Therapy,Art Therapists seeking new ideas,Anyone interested in Psychology
Screenshot
Homepage

https://www.udemy.com/course/art-therapy-a-journey-of-self-discovery/

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Free Download Art Therapy For (Complete) Beginners
Published 10/2024
MP4 | Video: h264, 1920x1080 | Audio: AAC, 44.1 KHz
Language: English | Size: 782.34 MB | Duration: 1h 15m
Enough about Art Therapy to be useful!

What you'll learn
The basics of Art Therapy
What Art Therapy is NOT
Why 'Art Therapy' should be done by qualified, trained and registered Art Therapists
How to have fun whilst discussing art work
Requirements
Art Materials
A printer for the Case Studies
Tea and biscuits
Description
Imagine the scene:A friend/member of your family comes round. They know you're quite keen on art and they've done a few bits of art themselves. They'd value your opinion, not so much on the art itself but really they'd like to discuss, er, ummm, the 'feelings' that arose when doing the art. They've read a bit about 'art therapy' but haven't really much idea - can you help?Well, if you've done this course (not enrolled-and-watched-videos but actually DONE the course) you probably can. You stress to your friends that you are NOT, NOT, NOT an art therapist. Merely someone who has done a short course on Udemy and that has whetted your appetite. You've done some art therapy exercises; you've worked through some Case Studies.But that is all. You stress that to become a 'proper' Art Therapist takes several years and involves a degree and Masters.That said, you're quite willing to 'have a chat' with your friends about their work - in fact you have some case studies and art therapy exercises (from this course) you could all do together.Again, you're not professing to be an Art Therapist, but you do have some ideas, you have done a few Art Therapy exercises yourself so - why not do some more.And discuss.One more thing - did your friend(s) bring biscuits?The 'elephant in the room' of course is that as you're NOT an Art Therapist - and this Beginner's course will NOT make you one - then you may make mistakes. That is why it is stressed that Art Therapists must be qualified - BUT you'll learn a few thi9ngs of interest, you'll enjoy the course - and you'll learn what Art Therapy is NOT.Make sure you watch the PREVIEW VIDEOS before enrolling!
Overview
Section 1: Introduction
Lecture 1 Introduction
Lecture 2 What Art Therapy is NOT
Lecture 3 Why is it necessary for the Art Therapist to be trained and qualified?
Section 2: When Interpreting, what do I look for?
Lecture 4 Introduction
Lecture 5 Visual elements
Lecture 6 Emotions and feelings
Lecture 7 Personal experiences and stories
Lecture 8 Symbols and metaphors
Lecture 9 Intentions and messages
Lecture 10 Creativity
Lecture 11 Language and Communication Support
Section 3: Process
Lecture 12 Creating a safe and Inclusive Environment
Lecture 13 Engaging with Emotions and Sensory Experiences
Lecture 14 Encouraging reflection and self-discovery
Lecture 15 Peer interaction
Lecture 16 Avoiding assumptions
Lecture 17 Open-ended questions
Section 4: Revision and Conclusion
Lecture 18 Revision and conclusion
Anyone who dabbles in art,Anyone interested in Art Therapy,Anyone who reads the 'psychology/self-awareness' sections of newspapers,Potential degree students for Art Therapy courses,Someone who likes discussing 'Why I created this'
Screenshot
Homepage

https://www.udemy.com/course/art-therapy-for-complete-beginners/

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Free Download Artificial Intelligence For Project Managers (2024)
Published 10/2024
MP4 | Video: h264, 1920x1080 | Audio: AAC, 44.1 KHz
Language: English | Size: 11.39 GB | Duration: 14h 31m
Transform into an AI-empowered Project Manager and elevate your projects

What you'll learn
Understand core AI concepts and their project applications, including machine learning, NLP, and automation.
Apply AI tools like ChatGPT to automate tasks and enhance project management efficiency.
Develop data-driven decision-making skills using AI insights to improve project outcomes.
Ensure ethical AI integration in projects by addressing transparency, bias, and responsible usage.
Strategically integrate AI into project workflows to boost productivity and collaboration.
Write effective AI prompts that generate accurate, relevant outputs for project tasks.
Understand how AI is shaping the future of project management and learn to adapt your role.
Requirements
No Prior AI Knowledge Required: This course is designed to introduce AI from the ground up, so no prior knowledge of AI or related technologies is necessary.
Basic Project Management Experience: Learners should have some experience in leading projects or working in a project management role. A foundational understanding of project management principles will help you fully grasp the integration of AI into workflows.
Description
Master AI-Powered Project Management - Elevate Your Career with Artificial IntelligenceArtificial Intelligence for Project Managers is your gateway to thriving in the AI-driven future of project management. As AI revolutionizes industries, this course equips you with the critical skills needed to harness its power and remain indispensable in the ever-evolving landscape of project leadership.Created by project management expert Cornelius Fichtner, PMP, this course delivers 14.5 hours of practical, hands-on learning. From understanding foundational AI concepts to writing effective prompts and integrating AI into traditional project management frameworks, you'll gain the knowledge and tools to excel. With over 60,000 students successfully trained in project management, Cornelius has designed this course to not only introduce you to AI but also to transform the way you lead projects, making you a leader in the AI-powered future.What You'll Get with Artificial Intelligence for Project Managers:14.50 PDUs of Formal AI Education: Earn your certificate and PDUs while learning the essential AI skills that will elevate your project management career.Comprehensive AI Coverage: Master AI concepts, from machine learning and natural language processing to generative AI, and discover their applications in real-world project management scenarios.Practical Application: Explore real-world case studies and examples, so you can immediately apply AI to automate tasks, enhance decision-making, and improve project efficiency.Expert-Led Video Lessons: Enjoy engaging, easy-to-follow lessons that break down AI technologies and their strategic applications in project management, ensuring you stay ahead in your career.AI-Powered Project Leadership: Learn how AI will shape the future of project management and develop strategies for integrating AI into your projects to enhance your leadership and decision-making capabilities.With this course, you won't just learn how to use AI tools like ChatGPT on your project. Instead, this course teaches you to become AI literate-you'll understand how to integrate AI into your project management processes, transforming your leadership style and ensuring you stay ahead of the curve in an AI-driven world.Take the next step in your career and future-proof your project management skills. Enroll today and become an AI-powered (and empowered) project manager.
Overview
Section 1: Welcome
Lecture 1 Introduction
Section 2: The AI PM Revolution
Lecture 2 Building The Future-Proof Project Manager
Lecture 3 AI Literacy for Project Managers
Section 3: AI Fundamentals
Lecture 4 AI Basics
Lecture 5 Machine Learning
Lecture 6 Natural Language Processing
Lecture 7 Large Language Models
Section 4: AI Ethics, Integrity & Transparency
Lecture 8 Leading Ethical AI Projects
Lecture 9 Responsible AI
Section 5: Data
Lecture 10 Data Quality: Foundation for AI-Ready Projects
Lecture 11 Taming AI (Data) Bias
Lecture 12 Data Literacy Basics for Project Managers
Section 6: Generative AI
Lecture 13 Generative AI
Lecture 14 Writing Effective AI Prompts
Lecture 15 Prompting Like a Boss
Section 7: The Future: AI-Driven PM
Lecture 16 Becoming an AI-Powered Project Manager
Lecture 17 Developing the AI-Powered Project Team (Part 1)
Lecture 18 Developing the AI-Powered Project Team (Part 2)
Section 8: AI in Action: Expert Insights - AI Interviews from The PM Podcast
Lecture 19 Podcast Interview: Beyond Theory - Real-Life AI Solutions in PM
Lecture 20 Podcast Interview: Unveiling the Power of Artificial Intelligence in PM
Lecture 21 Podcast Interview: Harnessing Artificial Intelligence in Digital Agency PM
Lecture 22 Podcast Interview: Data Literacy for Project Managers in the Age of AI
Lecture 23 Podcast Interview: AI for PMs: Hype or Help? Survey Says...
Lecture 24 Podcast Interview: AI in Project Management: Promise vs. Practice
Project managers who want to enhance their skills by integrating artificial intelligence into their workflows. Whether you're a seasoned project manager looking to stay relevant in an AI-driven world or someone just starting to explore AI's potential in project management, this course will provide practical insights and hands-on tools to make AI work for you.


Homepage

https://www.udemy.com/course/artificial-intelligence-for-project-managers/

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Free Download Artificial Intelligence In Looker Studio Gemini
Published 10/2024
MP4 | Video: h264, 1920x1080 | Audio: AAC, 44.1 KHz
Language: English | Size: 533.52 MB | Duration: 1h 27m
Master Gemini in Looker Studio: AI-Powered Data Analytics Simplified

What you'll learnHow to export Looker Studio charts in Google Slides with AI-generated insights.
Use conversational analytics to ask questions in natural language and get instant answers.
Leverage the formula assistant to create new fields by simply describing what you need.
Navigate Gemini's AI-powered features in Looker Studio to streamline data analysis.
Apply AI tools to make data insights more accessible, even for non-technical users.
Master Looker Studio basics with a quick 20-minute crash course.
RequirementsThe only requirements are to have a computer and access to the internet. It is helpful to know how to use Looker Studio. However, if you have never used it or need a refresher, I added a 20-minute crash course about Looker Studio basics.
DescriptionUnlock the potential of Gemini, Google's latest AI model, integrated seamlessly into Looker Studio (formerly Data Studio). Whether you're already familiar with Looker Studio or just getting started with AI-driven tools, this course will take your data skills to the next level.In less than 1.5 hours, you will learn how to leverage Gemini's features to make data analysis more intuitive, efficient, and accessible to everyone.What You'll Learn:AI-Generated Presentations: Generate Looker Studio charts and seamlessly export them to Google Slides, complete with insightful comments about the data.Conversational Analytics: Ask Gemini about your data and receive clear insights in natural language.Formula Assistant: Struggling with formulas? Simply describe what you need in plain English, and let Gemini write the formula for you.What's Included:A 20-minute crash course on Looker Studio basics, perfect for those with no prior experience or those who need a quick refresher.A deep dive into Gemini's newest features in Looker Studio, with examples and step-by-step guidance.Lifetime access to the course, ensuring you can revisit the content anytime you need.Why Take This Course?If you're a data analyst, marketer, or business owner looking to enhance data-driven decision-making, this course is for you. One of Gemini's greatest strengths is its ability to lower the technical barriers to information.Don't miss this opportunity to stay ahead of the curve with AI-powered analytics. Sign up today and start mastering Gemini in Looker Studio!
OverviewSection 1: Introduccion
Lecture 1 Introduction to the course
Lecture 2 Gemini in Looker Studio, what it is and its functionalities
Section 2: Looker Studio intro
Lecture 3 Looker Studio intro
Lecture 4 Looker Studio vs Looker Studio Pro
Section 3: Export Looker Studio charts to Google Slides with AI-generated insights
Lecture 5 Looker Studio & Google Slides example 1
Lecture 6 Looker Studio & Google Slides example 2
Lecture 7 Google Slides add-on for Looker Studio
Lecture 8 Looker Studio & Google Slides recap
Section 4: Conversational Analytics: ask questions in natural language
Lecture 9 Conversational Analytics example
Lecture 10 Conversational Analytics recap
Section 5: Formulas assistant: create new fields by simply describing what you need
Lecture 11 Formulas assistant example
Lecture 12 When the formulas assistant is not available
Lecture 13 Formulas assistant recap
Section 6: Requirements and how to enable Gemini
Lecture 14 Requirements to sign up to Looker Studio Pro
Lecture 15 How to enable Gemini
Section 7: Conclusion
Lecture 16 Conclusion
Those looking to enhance data-driven decision-making using AI.

Homepage

https://www.udemy.com/course/artificial-intelligence-in-looker-studio-gemini/

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Free Download Astronomy Image Colorization using Machine Learning (GANs)
Published 10/2024
Created by Spartificial Innovations
MP4 | Video: h264, 1280x720 | Audio: AAC, 44.1 KHz, 2 Ch
Genre: eLearning | Language: English | Duration: 101 Lectures ( 13h 45m ) | Size: 7.31 GB

Colorize Black & White Astronomical Images Using Python, PyTorch, and FastAPI
What you'll learn
Discover the fundamentals of Generative Adversarial Networks (GANs) and understand their architecture, loss functions, and optimization challenges.
Generate galaxies using GANs by setting up and training a model from scratch with hands-on coding in Kaggle Notebooks.
Dive deeper into Wasserstein GAN with Gradient Penalty (WGAN-GP), learning about the algorithm and its implementation for more stable training.
Implement WGAN-GP to generate realistic galaxy images and compare generated images with real astronomical data.
Master Image-to-Image Translation GANs (Pix2Pix) and explore how they can be used for transforming images in the context of astronomy.
Colorize black-and-white astronomical images using UNET architecture, PyTorch, and advanced GAN models to recreate realistic, vivid space images.
Get introduced to FastAPI and Streamlit, learn to build APIs and create a frontend for your machine learning models.
Create and deploy your own Image Colorization App using FastAPI, bringing all your learning together in a real-world project.
Requirements
Basic knowledge of Python programming.
Familiarity with machine learning concepts is recommended, but not mandatory.
Enthusiasm to learn GANs, WGANs, and image processing techniques!
Description
Are you fascinated by the beauty of the universe but curious about how machine learning can be used to bring astronomical images to life? Welcome to Astronomy Image Colorization using Machine Learning (GANs), where you will dive deep into the world of Generative Adversarial Networks (GANs) and their applications in astronomical image processing.In this course, you will learn how to leverage machine learning techniques to generate galaxies and colorize black-and-white images from space. You will gain practical knowledge by building end-to-end projects, from understanding GANs to creating your own image colorization app using FastAPI and Streamlit.What You'll Learn:Module 1: Discover the fundamentals of Generative Adversarial Networks (GANs) and understand their architecture, loss functions, and optimization challenges.Module 2: Generate galaxies using GANs by setting up and training a model from scratch with hands-on coding in Kaggle Notebooks.Module 3: Dive deeper into Wasserstein GAN with Gradient Penalty (WGAN-GP), learning about the algorithm and its implementation for more stable training.Module 4: Implement WGAN-GP to generate realistic galaxy images and compare generated images with real astronomical data.Module 5: Master Image-to-Image Translation GANs (Pix2Pix) and explore how they can be used for transforming images in the context of astronomy.Module 6: Colorize black-and-white astronomical images using UNET architecture, PyTorch, and advanced GAN models to recreate realistic, vivid space images.Module 7: Get introduced to FastAPI and Streamlit, learn to build APIs and create a frontend for your machine learning models.Module 8: Create and deploy your own Image Colorization App using FastAPI, bringing all your learning together in a real-world project.Course Highlights:Real-world Astronomy Applications: Work with real astronomical data to train your models.Project-Based Learning: Build multiple projects, including a Galaxy Generation project and a colorization web app.Hands-on with GANs: Deep dive into the technical details of GANs, WGANs, and Pix2Pix with step-by-step coding exercises.PyTorch & FastAPI: Learn how to use PyTorch for model building and FastAPI to deploy your models in production.Who This Course is Forata science enthusiasts interested in Generative Adversarial Networks (GANs).Machine learning engineers looking to enhance their skills in computer vision and image generation.Astronomy buffs who want to apply machine learning to space image processing.Developers interested in building real-world ML apps using FastAPI and Streamlit.Requirements:Basic knowledge of Python programming.Familiarity with machine learning concepts is recommended, but not mandatory.Enthusiasm to learn GANs, WGANs, and image processing techniques!FAQs Section:What tools and libraries will we use in this course?You'll use Python libraries like PyTorch for model building, FastAPI for backend development, and Streamlit for frontend interfaces. We'll also leverage Kaggle Notebooks for coding exercises.Do I need prior experience with GANs?No prior experience with GANs is necessary, but basic Python programming knowledge and a basic understanding of machine learning would be beneficial.
Who this course is for
Data science enthusiasts interested in Generative Adversarial Networks (GANs).
Machine learning engineers looking to enhance their skills in computer vision and image generation.
Astronomy buffs who want to apply machine learning to space image processing.
Developers interested in building real-world ML apps using FastAPI and Streamlit.
Homepage

https://www.udemy.com/course/astronomy-image-colorization-using-machine-learning-gans/

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Free Download Asynchronous AI Image Processing with Azure in ASP.NET Core
Published 10/2024
Created by Sandeep MVN
MP4 | Video: h264, 1280x720 | Audio: AAC, 44.1 KHz, 2 Ch
Genre: eLearning | Language: English | Duration: 5 Lectures ( 1h 50m ) | Size: 1.14 GB

Case Study:- Master the art of building asynchronous background processing systems with Azure and other cloud services.
What you'll learn
Introduction to Azure and Asynchronous Architecture
Setting Up and Understanding Blob Storage & Queue Triggers
Real-life case studies on asynchronous processes and image analysis
Enhancing Image Processing with AI Analysis
Requirements
C#
ASP NET Core
MVC
Description
In this course, you will dive deep into building asynchronous image processing systems using Azure Functions, Azure Blob Storage, and other key cloud services. As businesses and applications increasingly rely on processing large datasets, understanding how to manage these workloads asynchronously is crucial. This course offers a step-by-step approach, starting with the basics of Functions and blob storage for uploading images and moving on to advanced concepts such as queue triggers and asynchronous workflows.We will explore real-world case studies, such as building scalable systems to process image uploads in an asynchronous manner, enhancing performance, and managing large volumes of data. You'll learn to secure sensitive information using Azure Key Vault and integrate databases for storing image metadata. The course also covers optimizing and scaling workflows to handle thousands of requests efficiently, leveraging AI tools for image analysis, and deploying Azure Functions with monitoring for performance.Whether you're just starting out with Azure or want to take your cloud computing skills to the next level, this course offers everything you need to become proficient in building cloud-based background processing systems on Azure.How do you set up Azure functions for image processing and best practices for using blob storage and?
Who this course is for
Cloud Developers: Developers who want to learn how to build scalable, efficient asynchronous systems using Azure Functions and other cloud services.
Software Engineers: Engineers seeking to expand their knowledge of cloud architecture, image processing, and handling large datasets asynchronously.
Aspiring Cloud Architects: Individuals who are looking to design cloud-based solutions with a focus on performance optimization and scalable workflows.
IT Professionals: Those in the IT field who are responsible for deploying, managing, or optimizing cloud infrastructure and services on Azure.
Web Developers: Developers looking to integrate Azure services, such as blob storage, queue triggers, and serverless functions, into their web applications.
Students and Enthusiasts: Those interested in learning about cloud computing and gaining hands-on experience with Azure technologies.
Homepage

https://www.udemy.com/course/building-asynchronous-imagebackground-processing-with-azure/

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