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Free Download Udemy - IoT Full Project Course
Published: 12/2024
Created by: PhD. Angel Cubero
MP4 | Video: h264, 1280x720 | Audio: AAC, 44.1 KHz, 2 Ch
Level: Intermediate | Genre: eLearning | Language: English | Duration: 54 Lectures ( 14h 29m ) | Size: 9.3 GB

Create a full IoT system, from the device (ESP32, ESP-IDF, C++), to the backend, and the client interface (Python).
What you'll learn
Develop a full IoT project: Embedded device + Backend + Client interface
Solidify their C++ knowledge by applying it with FreeRTOS & ESP-IDF
Understand many core concepts of a Real Time Operating System
Understand how to handle network connectivity from a ESP32
Develop a simple backend with Python & Flask for storing / receiving data
Develop a simple client interface with Python & Kivy for displaying the data
Requirements
Basic programming experience with C / C++
Basic programming experience with Python
Description
In this hands-on course, you'll deepen your knowledge of C, C++, and Python while learning how to build a complete IoT system from the ground up.By the end of this course, you'll have created a fully functional IoT plant moisture tracker, capable of monitoring your plants' health, sending real-time data to your backend, and displaying the information on your client interface.What You'll LearnThe course is divided into three key partsart 1:We'll start by using C and C++ with the ESP-IDF framework to program the ESP-32 microcontroller. You'll learn how to write efficient code to measure soil moisture and transmit the data wirelessly (WiFi).Part 2:Next, we'll build the backend using Python and Flask. This server will process and store incoming data from the IoT device, acting as the backbone of the system.Part 3:Finally, we'll design an intuitive client interface using Python and Kivy, where you can view moisture readings retrieved from the backend in real time.Who Should Take This Course?This course is designed for individuals with a basic understanding of C, C++, and Python, who are eager to:Advance their programming skills to an intermediate level.Learn core concepts of IoT development through hands-on projects.Explore frameworks like ESP-IDF, Flask, and Kivy while working with microcontrollers and backend systems.To complete this course, you will need to purchase the following materials using your own means (you can get a PDF file from the Lecture 2 => Resources with example purchase links, you are not required to buy the course in order to download this file), the total cost of the kit should be around 30 EUR / USD.1. ESP32 DEVKIT-V1 BOARD2. USB-A to Micro-USB cable3. Capacitive Soil Moisture Sensor V1.24. Male to Female Jumper cables
Who this course is for
This course is intended for individuals with at least a basic understanding of C, C++, and Python.
If you're looking to advance your technical skills to an intermediate level in these languages while learning key concepts of the Internet of Things, this course is for you.
Homepage:

https://www.udemy.com/course/iot-full-project-course/

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Free Download Udemy - Ip Features On Cisco Routers
Published: 12/2024
MP4 | Video: h264, 1920x1080 | Audio: AAC, 44.1 KHz
Language: English | Size: 334.56 MB | Duration: 0h 52m
Learn about IP features and how they work on Cisco routers.

What you'll learn
Understand IP features and how they work.
Clarify some unusual behavior in networks.
The Proxy ARP feature.
The ICMP Redirects feature
The IP Smurfing Attack using The IP Directed Broadcasts feature.
Requirements
Students should have basic knowledge of networking especailly with Cisco. Ideally a student should have CCNA knowledge level or Network+ & basic knowledge of Cisco commands.
Description
It is crucial for network engineers to understand how networking protocols work in depth. This will help them to configure and operate networks effectively and be distinguished from other engineers who do not possess this understanding.This type of knowledge is also important for network architects. It will allow them to design networks that consist of parts that work together in harmony.This course will help you understand some behaviors that seem strange or unusual in networking, such as hosts that do not use a default gateway to communicate with other subnets. You will understand how such things happen.You will understand the mechanisms of some important IP features, such as Proxy ARP, IP redirects, and IP directed Broadcasts.You will understand the disadvantages and security issues related to these features, the attacks that they allow, and how to mitigate them. This course focuses on the practical side as much as possible, using Cisco routers emulated in GNS3. We will deep dive into protocols' behaviors with show and debug commands.For example, we will see how the Proxy ARP feature allows hosts that do not have a default gateway configured to communicate with other subnets or to use a default gateway that is located outside their own subnet. We will see how this feature affects the cache of the devices and therefore will understand what is the best way to configure static routing. Additionally, we will see how both the DOS (denial of service) and MiTM (Man in the middle) attacks take advantage of the Proxy ARP feature. However, this feature was not there without a reason, so its usage cases will be explained.Another example is how the IP directed Broadcasts feature allows for the IP Smurfing attack to occur and how we can mitigate this attack using the uRPF (unicast Reverse Path Forwarding) mechanism.
Overview
Section 1: Proxy ARP
Lecture 1 Hosts Withotut A Default Gateway
Lecture 2 Proxy ARP Explained
Lecture 3 Hosts With a Default Gateway Outside the Subnet
Lecture 4 The Necessity of Routing
Section 2: ICMP Redirects
Lecture 5 ICMP Redirects Explained
Lecture 6 ICMP Redirects Disadvantges
Section 3: IP Directed Broadcasts
Lecture 7 The IP Smurfing Attack using IP Directed Broadcasts
Students who want to gain more knowledge in the Networking and Information Security fields.


Homepage:

https://www.udemy.com/course/ip-features-on-cisco-routers/

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Free Download Udemy - Lbo (Leveraged Buy Out) Modelling
Published: 12/2024
MP4 | Video: h264, 1920x1080 | Audio: AAC, 44.1 KHz
Language: English | Size: 3.52 GB | Duration: 3h 36m
Learn the intricacies of an LBO transaction and build the financial model to help structure and analyse a deal.

What you'll learn
Learn market practices and structures for leveraged buyout transactions
Understand the drivers of leveraged buyout structures and the specific constraints of private equity funds
Understand the relevance of different funding options -A & B loans, HY bonds, 2nd lien, mezzanine debt
Learn how to build and use an LBO model to assess deal feasibility
Using comparable transactions as a basis, be able to assess the feasibility of a deal
Use the model to calculate standard return metrics (IRR, money multiples) and investigate the operating model using ROCE
Use the model and some leverage comparables to structure an LBO financing
Requirements
Delegates should have some fundamental Excel modelling skills and basic knowledge of financing, but the specifics for an LBO model are fully explained from scratch. If you've not done so, you should have a go at our Financial Modelling program.
Description
The aim of the course is to show delegates how to assess the feasibility of a potential LBO transaction and how to flexibly model the acquisition and leveraging of a company by private equity investors.Delegates will build an integrated LBO model and a value bridge, disaggregating value added/destroyed into the various components, namely - growth, margin improvement, "multiple arbitrage" and fees. We will then use the model and some leverage comparables to structure a bid and also consider a potential competing Unitranche offer from a debt fund.The course is practical and pragmatic: we look at the typical mandates of Private Equity Funds and how that drives the structures of deals - their return Requirements, hold periods and exit routes and very importantly, the range of opportunities that this gives to the Bank. We also review and model the full range of funding sources available to borrowers, including products like Unitranche which are a strong competitor for the more "traditional" cash flow lending structures offered by banks through A & B loans.Specifically, we will:Build a transaction sources and uses;Derive a pro forma opening balance sheet;Overlay a detailed pro forma financing structure on the target company comprising a mix of senior and subordinated debt. Specifically, we will model debt with PIK components such as mezzanine debt;Review current leverage market practices and structures - what financing is available and on what terms? Who are the Bank's competitors? What is the significance of the different products: A& B loans, Second lien, HY, Mezzanine and Unitranche?Explain structural and contractual subordination and explain how they are used in creating different classes of debt and indeed how shareholder loans are used to create preferences amongst the different "equity" providers such as "rollover" equity, sweet equity and institutional funding and what, if at all, is the typical role of vendor loan notes.Build an integrated forecasting modelCalculate standard return metrics, IRRs and money multiples and investigate the operating model using RoCE;Measure the contribution of different value drivers to the total return using a "value bridge" calculationUse the model and some leverage comparables to structure a leveraged financing for an LBO.At the end of the course delegates will:Understand the drivers of leveraged buyout structures and the specific constraints of private equity fundsUnderstand the relevance of different funding options -A & B loans,Be able to build and use an LBO model to assess deal feasibilityUsing comparable transactions as a basis, be able to assess the feasibility of a dealAssess management incentive structuresBe able to assess the likely competitive threat from alternative debt providers
Overview
Section 1: Model and Leveraged Finance Intro
Lecture 1 Model build intro
Lecture 2 Private Equity fund mandate
Lecture 3 The LBO Balance Sheet
Lecture 4 Model structure and beginning the build
Lecture 5 Completing the Op Cash Flows
Section 2: Sources and Uses of Funds
Lecture 6 Sources and Uses - part 1
Lecture 7 Sources and Uses - part 2
Lecture 8 Sources and Uses - part 3
Section 3: Debt inputs and schedule
Lecture 9 Debt schedule
Lecture 10 Debt detail with LOOKUP and MATCH
Lecture 11 Debt - balance and repayments modelling
Lecture 12 Calculating repayments using a Nested IF
Lecture 13 The Debt Summary table
Lecture 14 Completing the post-financing and tax cash flow
Section 4: Returns Analysis
Lecture 15 Returns - part 1
Lecture 16 Returns - part 2
Lecture 17 Returns - part 3
Lecture 18 Returns - part 4
Section 5: Returns Decomposition and the Value Bridge
Lecture 19 Decomposition and the Value Bridge - part 1
Lecture 20 Decomposition and the Value Bridge - part 2
New analysts, those moving into a Leveraged finance team or undergrads keen to learn more before embarking on a career in finance.


Homepage:

https://www.udemy.com/course/lbo-modelling/

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Free Download Udemy - Learn English With Sentences - If Clauses
Last updated: 12/2024
MP4 | Video: h264, 1280x720 | Audio: AAC, 44.1 KHz
Language: English | Size: 390.64 MB | Duration: 2h 23m
Learn about the three types of if-clause using sentences written by native English speakers

What you'll learn
Learn about the four types of if-clause in English
Learn how to manipulate each if-clause to improve your English fluency
Use this course as a reference guide to improve your speaking and writing skills in English
Get access to hundreds of sentences written by native speakers
Requirements
You should already have an intermediate command of the English language before taking this course
Description
In English, there are three types of if-clause, and if you can get to grips with them, they are very useful.In this course, you'll find hundreds of example sentences written by native speakers to help you to understand these features of the English language. As well as the example sentences, I'll show you how to form each of the if-clauses and you'll also learn a little trick to make your sentences sound fancier.I've split up the sentences into small groups so you can spend just a few minutes each day revising them. The more you see this sort of a structure, the more comfortable you will become with using it. Feel free to write down any sentences you like and use them in your own conversations.
Overview
Section 1: Introduction
Lecture 1 Introduction
Section 2: The first type of if-clause
Lecture 2 Lesson 1a
Lecture 3 Lesson 1b
Lecture 4 Lesson 1c
Lecture 5 Lesson 1d
Lecture 6 Lesson 1e
Section 3: The second type of if-clause
Lecture 7 Lesson 2a
Lecture 8 Lesson 2b
Lecture 9 Lesson 2c
Lecture 10 Lesson 2d
Lecture 11 Lesson 2e
Lecture 12 Lesson 2f
Lecture 13 Lesson 2g
Section 4: The third type of if-clause
Lecture 14 Lesson 3a
Lecture 15 Lesson 3b
Lecture 16 Lesson 3c
Lecture 17 Lesson 3d
Lecture 18 Lesson 3e
Lecture 19 Lesson 3f
Lecture 20 Lesson 3g
Lecture 21 Lesson 3h
Lecture 22 Lesson 3i
Section 5: Let's practise if-clauses
Lecture 23 Let's practise type 1 - Part a
Lecture 24 Let's practise type 1 - Part b
Lecture 25 Let's practise type 1 - Part c
Lecture 26 Let's practise type 1 - Part d
Lecture 27 Let's practise type 1 - Part e
Lecture 28 Let's practise type 1 - Part f
Lecture 29 Let's practise type 1 - Part g
Lecture 30 Let's practise type 1 - Part h
Lecture 31 Let's practise type 2 - Part a
Lecture 32 Let's practise type 2 - Part b
Lecture 33 Let's practise type 2 - Part c
Lecture 34 Let's practise type 2 - Part d
Lecture 35 Let's practise type 2 - Part e
Lecture 36 Let's practise type 2 - Part f
Lecture 37 Let's practise type 2 - Part g
Lecture 38 Let's practise type 2 - Part h
Lecture 39 Let's practise type 3 - Part a
Lecture 40 Let's practise type 3 - Part b
Lecture 41 Let's practise type 3 - Part c
Lecture 42 Let's practise type 3 - Part d
Lecture 43 Let's practise type 3 - Part e
Lecture 44 Let's practise type 3 - Part f
Lecture 45 Let's practise type 3 - Part g
Lecture 46 Let's practise type 3 - Part h
Section 6: Bonus lecture
Lecture 47 Bonus lecture
This course is aimed at students for whom English is a foreign language and would like to improve their knowledge of English grammar


Homepage:

https://www.udemy.com/course/learn-english-with-sentences-if-clauses/

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Free Download Udemy - Learn GenAI With Basics
Published: 12/2024
MP4 | Video: h264, 1920x1080 | Audio: AAC, 44.1 KHz
Language: English | Size: 575.99 MB | Duration: 1h 4m
Learn Essentials Fundamentals in GenAI with Real-World Examples

What you'll learn
Learn Generative AI
Explore how to use Generative AI in Learning and Development the skills
Learn How to generate Automated Content with Generative AI
Learn how to use ChatGPT in learning and development
Requirements
You must have a working computer
Description
Generative Artificial Intelligence represents a transformative advancement in the field of machine learning, enabling systems to produce original content such as text, images, music, and even code. Built on sophisticated algorithms, generative AI leverages large-scale data sets and deep learning models, particularly neural networks, to identify patterns and recreate human-like outputs. Among the most notable generative AI models are transformer-based architectures like GPT and GANs, which have revolutionized creative and analytical processes.Generative AI operates by learning from a given dataset during a training phase, where it identifies relationships and features within the data. It then uses this understanding to generate new, plausible content that adheres to the learned patterns. For instance, in text generation, models like GPT can produce coherent and contextually relevant passages that mimic human writing. Similarly, GANs, used in image synthesis, consist of two networks-a generator and a discriminator-that work in tandem to create and refine realistic visuals.As generative AI continues to evolve, it holds the promise of fostering unprecedented innovation while reshaping industries and human creativity. Its success lies in striking a balance between its transformative capabilities and the ethical considerations it necessitates. By addressing its limitations and risks, generative AI can emerge as a powerful ally in solving complex problems, amplifying human ingenuity, and paving the way for a more connected and creative future.
Overview
Section 1: Introduction
Lecture 1 Introduction
Section 2: Generative AI Basics
Lecture 2 What is Generative AI
Lecture 3 Generative AI NLP
Section 3: Generative AI for MLOps
Lecture 4 MLOps Project for Generative AI
Lecture 5 GenAI Machine Learning Deployment
Section 4: Generative AI for User Defined Functions
Lecture 6 MLOps in Generative AI
Lecture 7 User Defined Functions
It is for those who want to learn with Generative AI and ChatGPT


Homepage:

https://www.udemy.com/course/learn-genai-with-basics/

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Free Download Udemy - Learn Git and GitHub the Practical Way
Published: 12/2024
Created by: Pawan Deore
MP4 | Video: h264, 1280x720 | Audio: AAC, 44.1 KHz, 2 Ch
Level: All | Genre: eLearning | Language: English | Duration: 7 Lectures ( 1h 27m ) | Size: 694 MB

Master Git and GitHub with Real-World Commands Used by Senior Engineer Daily
What you'll learn
Version Control Fundamentals
Essential Git Commands
Branching, Rebasing and Merging Strategies
Advanced Git Commands
Debugging and Undoing Changes
Tips and Best Practices
Open Source Contribution Guide
Requirements
Willingness to learn! and obviously Mac or PC
Description
Learn Git and GitHub the practical way, using real-world commands and workflows that senior engineers rely on daily. Whether you're a beginner or looking to sharpen your skills, this course is tailored to provide hands-on experience and industry-relevant knowledge.This is Very Practical course, everything that is recorded in this course I use it daily at my job! By the end of this course, you'll be equipped to handle version control and collaboration in any development environment confidently.Version Control Fundamentals:Understand Git's core concepts, including repositories, branches, and commits. Learn why version control is essential in modern software development.Essential Git Commandsractice daily-use commands like git clone, git add, git commit, git push, and git pull. Build confidence by applying these in real-world scenarios.Branching and Merging Strategies:Learn how to create, switch, and merge branches effectively and ensure smooth collaboration in teams.GitHub Workflowsiscover how to work with GitHub repositories, manage pull requests, and review code like a pro. Learn to collaborate efficiently in team environments.Debugging and Undoing Changes:Gain the skills to troubleshoot issues using commands like git log, and git reset. Understand how to recover from mistakes without disrupting your workflow.Tips and Best Practices:Learn advanced techniques like diffs, stashing and .gitignore. Get tips on structuring commits and managing large projects.Why Take This Course?Practical focus with real-world examples.Taught by experienced engineer with industry insights.Boost your confidence in handling Git workflows professionally.Verify Your Knowledge with the Quiz.
Who this course is for
anyone who wants to learn Git & Github.
software engineers, DevOps professionals, and coding enthusiasts.
Homepage:

https://www.udemy.com/course/learn-git-and-github-the-practical-way/

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Free Download Udemy - Learn OpenLCA Software
Published: 12/2024
Created by: Mohd Danish
MP4 | Video: h264, 1280x720 | Audio: AAC, 44.1 KHz, 2 Ch
Level: Beginner | Genre: eLearning | Language: English | Duration: 14 Lectures ( 2h 1m ) | Size: 1 GB

Life Cycle Assessment, OpenLCA software, Environmental Assessment
What you'll learn
This course will help you to understand how to use OpenLCA for Life Cycle Assessment
How to create flows and processes in OpneLCA
How to model supply chain in OpenLCA
How to model Packaging, Transport, and Product inside OpenLCA software
Requirements
No specific prerequisites
Description
This comprehensive course offers an in-depth exploration of Life Cycle Assessment (LCA), a critical tool for evaluating the environmental impacts of products throughout their entire life cycle. Participants will engage with both the theoretical foundations of LCA and practical, hands-on experience utilizing specialized software.Throughout the course, you will learn to create and analyze various flows and processes involved in LCA, including but not limited to product packaging, transportation logistics, and the principles of economic allocation. Each module is designed to build your understanding and skills step by step, ensuring you can effectively apply these concepts in real-world scenarios.Moreover, the course includes extensive discussions centered on OpenLCA, a widely used software platform for conducting LCA studies. By the end of this course, you will be equipped with the necessary knowledge and tools to carry out comprehensive assessments and contribute to environmentally sustainable practices in your field.This course does not require any prior experience in the field of LCA. If you are a beginner you can also opt for this course. I am always here for your help and if you need my assistance please do let me know in the discussion forum. Thank you and See you soon.
Who this course is for
Beginners interested in Life Cycle Assessment
Homepage:

https://www.udemy.com/course/learn-openlca-software/

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Free Download Udemy - Linux Forensics in Depth
Published: 12/2024
Created by: Digital Dojo,Frank Anemaet
MP4 | Video: h264, 1280x720 | Audio: AAC, 44.1 KHz, 2 Ch
Level: Beginner | Genre: eLearning | Language: English | Duration: 27 Lectures ( 2h 6m ) | Size: 714 MB

Uncover Clues, Analyze Attacks and Master Linux Investigations.
What you'll learn
Understand the basics of Linux forensics and why it's important for security investigations.
Learn how to collect evidence from a live Linux system.
Explore techniques for analyzing system logs and identifying suspicious activities.
Gain hands-on experience in recovering deleted files and understanding file system behavior.
Requirements
No prior experience in forensics is needed. Basic knowledge of Linux commands and concepts is recommended but not required.
Description
Uncover the secrets hiding in Linux systems. Whether you're tracking cyber intrusions, investigating insider threats, or simply expanding your forensic skills, this course equips you with the tools and techniques to analyze Linux environments like a pro.In Linux Forensics In-Depth, you'll learn how to:Investigate running processes to identify suspicious activity.Monitor network connections and trace malicious communications.Detect and analyze persistence mechanisms like hidden users, cronjobs, and services.Explore user traces, software artifacts, system logs, and bash history for critical evidence.This course is packed with hands-on demonstrations and real-world scenarios, ensuring you gain practical skills that can be applied immediately. No fluff, no filler-just the essential knowledge you need to investigate and uncover the truth in Linux systems.Who Is This Course For?Cybersecurity professionals and students looking to expand their forensic capabilities and gain an edge in the field.IT admins and system analysts aiming to strengthen their understanding of Linux incident investigations and system security.Beginners and enthusiasts curious about digital forensics who want to start their journey with a focused and practical approach.Linux powers the world's infrastructure, and understanding how to investigate and secure these systems is a critical skill in today's cybersecurity landscape.
Who this course is for
Beginners in Linux forensics
IT professionals wanting to learn forensics on Linux
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Free Download Udemy - Master General Chemistry Ii
Published: 12/2024
MP4 | Video: h264, 1280x720 | Audio: AAC, 44.1 KHz
Language: English | Size: 2.71 GB | Duration: 6h 39m
Master General Chemistry II at your University!

What you'll learn
Work through short video lessons to master all the material you'll need to know in gen-chem II
Solidify your knowledge of each concept with embedded quizzes
Combine your knowledge from the entire course with two embedded practice exams
Track your progress and re-visit sections to master the material
Requirements
Completed first semester of General Chemistry at the college level. I recommend you take this course with something to write on so you can follow along with the problems! (No software or additional materials required)
Description
This course is designed for anyone preparing to take the second semester of general chemistry at their college or university!I'm currently a medical student who was once in your shoes during my undergraduate journey. I understand how frustrating chemistry can be-especially if it doesn't click right away. On top of that, the grade you earn in general chemistry is crucial. For this reason, I've invested hundreds of hours into creating this course to ensure that, after completing it, you'll be sure to ace gen-chem II this semester !!Over the past five years, I've worked with over 1,000 chemistry students, dedicating countless hours to teaching and mentoring. My goal, both in teaching and in creating this course, was to present the material in a way that even someone with no chemistry background could understand. I've made sure to emphasize the concepts and problems that tend to confuse students the most, so you won't get tripped up this semester!This course is built on two core principles:1. Chemistry should be learned in small piecesI've structured the course into 13 learning modules that break down the most important general chemistry concepts into smaller, more manageable parts. I've also focused on highlighting small details that will help you gain a deep understanding of the material. The modules include:Intermolecular forcesHeating curvesVapor pressureColligative propertiesReaction ratesReaction mechanismsEquilibriumAcids and basesBuffersSolubilityEntropy and Gibbs free energyRedox reactionsElectrochemistry2. Practice makes perfectAfter each lecture, you'll answer embedded practice questions to ensure you've grasped the main concepts from the video. These questions aren't designed for memorization of specific reactions. Instead, they encourage you to think critically about what you've just learned. Many of the questions involve hypothetical reactions, like A → B, to test your conceptual understanding.Additionally, there are two practice exams covering material from the entire course. These exams are timed and designed to help you practice applying multiple concepts to solve the more complex problems you'll encounter in General Chemistry II.If you master the material and successfully answer the associated practice questions, I can confidently guarantee your success in General Chemistry II this semester!
Overview
Section 1: Intermolecular Forces
Lecture 1 Intramolecular and Intermolecular Forces
Lecture 2 ion-ion
Lecture 3 Dipole-Dipole
Lecture 4 Hydrogen Bonding
Lecture 5 London Dispersion Forces
Lecture 6 Ranking IMF's
Section 2: Heating Curves
Lecture 7 Heating Curves Intro
Lecture 8 "Heating up" vs "phase changes"
Lecture 9 Heating Curve Formulas
Lecture 10 Heating Curve Example
Section 3: Equilibrium Vapor Pressure
Lecture 11 Evaporation and Condensation
Lecture 12 Equilibrium Vapor Pressure
Lecture 13 IMF's and Equilibrium Vapor Pressure
Lecture 14 Evaporation vs Boiling
Section 4: Colligative Properties
Lecture 15 Solvent and Solute
Lecture 16 Mole Fractions
Lecture 17 Colligative molality
Lecture 18 Vapor Pressure Lowering
Lecture 19 Boiling Point Elevation
Lecture 20 Solving for Boiling Point Elevation
Lecture 21 Freezing Point Depression
Section 5: Reaction Rates
Lecture 22 Rates
Lecture 23 Rate of Reaction = rate of change of reactants and products
Lecture 24 Rate Laws
Lecture 25 Order of Reaction
Lecture 26 Half life
Section 6: Reaction Mechanisms
Lecture 27 Reactions with multiple steps
Lecture 28 Rate Determining Step
Lecture 29 Intermediates
Lecture 30 Activation Energy
Lecture 31 Catalyst
Lecture 32 Arrhenius Equation
Section 7: Equilibrium
Lecture 33 Equilibrium
Lecture 34 Writing Equilibrium Expressions
Lecture 35 K continued
Lecture 36 Q Expressions
Lecture 37 Q vs. K
Lecture 38 Le Chatelier's Principle
Lecture 39 ICE tables
Section 8: Acids and Bases
Lecture 40 Identifying Acids and Bases
Lecture 41 Strong acids vs weak acids
Lecture 42 Strong bases vs weak bases
Lecture 43 Conjugate acids and bases
Lecture 44 Ka
Lecture 45 Kb
Lecture 46 Kw
Lecture 47 Ka,Kb,Kw
Lecture 48 pH, pOH, pKa, pKb, pKw
Lecture 49 Solving Acid/Base problems using ICE tables
Section 9: Buffers
Lecture 50 What is a buffer?
Lecture 51 Conditions for a Buffer
Lecture 52 Identifying Buffers Practice
Lecture 53 Creating a Buffer using Titrations
Lecture 54 Identifying Buffers Practice 2
Lecture 55 Calculating pH with a titration curve
Section 10: Solubility
Lecture 56 Solubility
Lecture 57 Ksp
Lecture 58 Qsp
Lecture 59 Qsp vs Ksp
Lecture 60 Solving Solubility problems
Section 11: Entropy, Gibbs Free Energy, Spontaneity
Lecture 61 Entropy of System
Lecture 62 Entropy of Surroundings
Lecture 63 Spontaneity
Lecture 64 Entropy of Universe
Lecture 65 Gibbs Free Energy (ΔG)
Lecture 66 ΔG relation to (Q vs K)
Lecture 67 Solving for ΔG
Section 12: Oxidation & Reduction
Lecture 68 Oxidation States
Lecture 69 Oxidation State practice
Lecture 70 Assigning Oxidation States in Lewis Structures
Lecture 71 Oxidation and Reduction Reactions
Lecture 72 Oxidizing Agent and Reducing Agent
Section 13: Electrochemistry
Lecture 73 Electrochemical cells
Lecture 74 E Cell
Lecture 75 Spontaneity in Electrochemistry
Lecture 76 Nernst Equation
Any student wishing to receive the highest grade possible in their general chemistry course!


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Free Download Udemy - Master Gmail Course - Beginner to AdvancedPublished: 12/2024
Created by: Dr Fedlu Siraj
MP4 | Video: h264, 1280x720 | Audio: AAC, 44.1 KHz, 2 Ch
Level: All | Genre: eLearning | Language: English | Duration: 86 Lectures ( 4h 5m ) | Size: 2.77 GB
Master Gmail: Focus on Email Management, Advanced Security, Collaborative Inbox, and ChatGPT for enhanced productivity

What you'll learn
You will learn how to take full advantage of Gmail.
Begin with the basics of creating a Gmail account and customizing it.
Composing and Formatting Emails.
Inserting Images and Attachments in Composed Emails.
Using the Zero Inbox system to manage and organize your inbox.
Setting Up Gmail Notifications to Never Miss a Message.
Accessing Other Email Platforms, Like Outlook, Through Gmail.
How to use Gmail Offline?
Creating a Text or Image Email Signature.
Utilizing email templates and canned responses.
How to use Confidential Mode ?
How to use Vacation responder ?
Creating Contacts and Contact Groups to Utilize for Distribution Lists.
Utilizing Google Chat, Google Meet, Google Calendar, and Time Blocking.
How to white list or black list an email address or domain ?
Mastering Gmail keyboard shortcuts.
Sending Mass Emails, Tracking Them Using Best Gmail Add-ons in Gmail for Your Campaigns
Setting Up Delegated Mailboxes for Managing Your Inbox with an Assistant.
Adjusting Email Security Settings from Basic to Advanced for Securing Your Account.
How to use S/MIME and PGP Encryption's methods ?
Utilizing ChatGPT for Improved Gmail Productivity.
Requirements
A Free Gmail Account on Any Device with Internet Access
No Prior Gmail Knowledge Needed
Description
Are you overwhelmed by a flood of unread emails? Did you know the average person spends 2 to 3 hours a day on Gmail-over 10 hours a week? Imagine cutting that time in half and getting those hours back! Now, here's a quick question: How secure do you feel about your email privacy and organization?Join My course, "Master Gmail from Beginner to Advanced," and learn how to take control of your inbox. This course is for everyone, whether you're new to Gmail or want to improve your skills.With over 80 lectures and updates, learning to become a Gmail expert user has never been easier. This course is a concise and easy-to-watch guide to mastering time-saving techniques for managing email and increasing productivity. The video content is enhanced with AI voice-over for a clear and engaging learning experience.You will learn how to manage your emails effectively using labels, filters, and search techniques. We'll cover Advanced Security features, like Confidential Mode and encryption, to keep your email safe. Discover how to use the Collaborative Inbox to work better with your team and manage shared emails. Plus, learn how to use ChatGPT to automate responses and boost your productivity.You'll have lifetime access to watch the videos whenever you like. If you're not 100% satisfied, there is a 30-day money-back guarantee! Plus, you will get fast and responsive support within 24 hours.By the end of this course, you'll have the skills to navigate Gmail easily and make it a valuable tool in your life. Enroll now to start mastering Gmail!
Who this course is for
This Course Intended for Students Wishing to Expand Their Gmail Skills
This Course Intended for everyone who wants to boost their productivity
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Free Download Udemy - Master Google Gemini Slides And Sheets
Published: 12/2024
MP4 | Video: h264, 1920x1080 | Audio: AAC, 44.1 KHz
Language: English | Size: 495.61 MB | Duration: 0h 33m
Master Google Gemini: AI-Powered Slides & Sheets for Stunning Presentations & Data Insights

What you'll learn
Explore how Gemini can help you brainstorm ideas, generate text for presentations, and even translate languages directly within your sheets.
Generate unique and relevant visuals based on textual Descriptions.
Transform complex data sets into clear and compelling charts and graphs.
Say goodbye to complex formulas! Learn to use Gemini to create formulas naturally, just by describing what you need to calculate.
Requirements
Basic computer skills and knowledge of Sheets or Slides
Description
Unlock the full potential of Google Gemini, the cutting-edge AI from Google DeepMind, in this comprehensive course designed to revolutionize the way you work with Google Slides and Sheets. Whether you're a professional seeking to boost productivity or a student aiming for a competitive edge, this course combines the transformative power of Gemini's AI capabilities in both platforms to elevate your workflow. With Google Slides, learn how to craft visually stunning and intellectually engaging presentations effortlessly. Discover Gemini's advanced features, such as generating custom graphics, responding to complex prompts with beautiful slide designs, and summarizing detailed presentations in seconds. Automate speaker notes, enrich slides with contextual information, and bring your ideas to life with minimal effort. By mastering these tools, you'll captivate audiences with polished and memorable presentations.In Google Sheets, experience a new era of data management and analysis. Gemini simplifies complex formulas and enables you to create them naturally by describing your needs. Generate entire project plans, budgets, and summaries with ease, while automating repetitive tasks like data entry, formatting, and report generation. Save time and focus on strategic thinking as Gemini transforms tedious processes into streamlined, intuitive workflows. This course provides practical, step-by-step guidance on leveraging Gemini's AI in Slides and Sheets, ensuring that you can seamlessly integrate these tools into your everyday tasks. You'll gain the confidence to produce standout presentations, uncover data-driven insights, and share your expertise with peers.By the end of this course, you'll be empowered to:Create captivating presentations with custom graphics and automated enhancements.Analyze data and generate insights in seconds without complex formulas.Automate mundane tasks, freeing time for innovation and strategy.Master AI-powered tools for enhanced productivity and creativity.Join us to explore the transformative capabilities of Google Gemini in Slides and Sheets. Whether you're crafting a presentation or managing data, this course will equip you with the skills to excel in any professional or academic setting. Make your workflow smarter, faster, and more impactful with Google Gemini!
Overview
Section 1: Google Gemini in Sheets
Lecture 1 Welcome and Introduction
Lecture 2 What is Gemini?
Lecture 3 Summarizing a Spreadsheet
Lecture 4 Creating Tables
Lecture 5 Creating Formulas
Lecture 6 Getting Help in Sheets with Gemini
Lecture 7 Course Recap
Section 2: Google Gemini in Slides
Lecture 8 Welcome and Introduction
Lecture 9 What is Gemini?
Lecture 10 Adding Slides from Scratch
Lecture 11 Adding Slides from an Existing File
Lecture 12 Adding Images using Gemini
Lecture 13 Summarizing Your Presentation
Lecture 14 Using the Gemini Chat Pane
Lecture 15 Course Recap
Section 3: Google Gemini Slides and Sheets Assessment
Professionals and students aiming to boost productivity and streamline presentations and data workflows.


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Free Download Udemy - Master Math by Coding in Python
Last updated: 11/2024
MP4 | Video: h264, 1920x1080 | Audio: AAC, 44.1 KHz
Language: English | Size: 10.74 GB | Duration: 37h 15m
Embark on a Python journey to learn a multitude of math essentials including linear algebra, calculus, trig, and more

What you'll learn
Most important: Confidence in learning math!
Arithmetic
Algebra (1, 2)
Graphing
Trigonometry
Calculus
Linear algebra
Python programming
Python libraries including sympy, numpy, matplotlib, scipy
Formatting beautiful equations in LaTeX
Data visualization
Integrating Python, Markdown, and LaTeX
Requirements
Just the course, a computer, and a positive attitude!
No Python experience necessary - I take you through everything!
Jupyter IPython notebook - free to use! Either local installation or use online
Description
You need to learn mathematicsMath is at the heart of all advances in modern computing, including data science, AI (artificial intelligence), deep learning, generative AI, machine learning, statistics, video games, and on and on...If you want to study or work in these fields, or if you're just curious to learn more about these technical topics, you need to have a grasp of mathematics.You can learn a lot of math with a bit of coding!Many people don't know that Python is a really powerful tool for learning math. Sure, you can use Python as a simple calculator, but did you know that Python can help you learn more advanced topics in algebra, calculus, and matrix analysis? That's exactly What you'll learn in this course. Python isn't just a coding language; it's a gateway to mastering math.This course is a perfect supplement to your school/university math course, or for your post-school return to mathematics.Let me guess what you are thinking:"But I donât know Python!" Thatâs okay! This course is aimed at complete beginners; I take you through every step of the code. You don't need to know anything about Python, although it's useful if you already have some programming experience."But Iâm not good at math!" You will be amazed at how much better you can learn math by using Python as a tool to help with your courses or your independent study. And that's exactly the point of this course: Python programming as a tool to learn mathematics. This course is designed to be the perfect addition to any other math course or textbook that you are going through. It's also a great way to get started on your adventures into data science, deep learning, and AI.What do you get in this course?Over 37 hours of instruction that includes Python coding, visualization, loops, variables, and functions.Important Python libraries for data science and mathematics, including numpy, sympy, scipy, and matplotlib.LOTS of practical exercises! Each video has at least one hands-on coding/math exercise (and you'll get to watch me solve those exercises). And each section ends with "bug hunts" where you get to find and fix my math-coding errors!That warm, fuzzy feeling of confidence that you can combine the skills from this course to improve your understanding of mathematics.A big-picture Overview of beginner and advanced mathematics, from solving for "x" to computing integrals to finding eigenvalues. If you are only just beginning your adventures in maths, then this course will show you what you have to look forward to!This course is right for you if you are:In middle/high school, university, or are returning to math as an independent learner.A data professional who wants to brush up on math and Python skills.A complete beginner to Python.A student of data science, machine learning, or AI who needs to improve their mathematics knowledge to understand algorithms.Looking to transition from another field into AI-related fields like deep learning.Already proficient with math "in theory" and want to learn how to translate math formulas and concepts into computer code.Bored and looking for a fun intellectual challenge.With over 33 hours of teaching, plus student exercises, challenges and an active course Q&A forum (get a response to any question within 48 hours!), this course gives you everything you need to succeed in your maths course or independent adventures in learning math.All the code that appears in the videos is also included for download. You can code along as you watch the videos, or download the code and use it directly.This course covers the following topics: ArithmeticIntroduction to SympyIntroduction to LaTeX (to print beautiful equations!)Algebra 1GraphingAlgebra 2Graphing conic sectionsTrigonometryCalculusLinear algebra...and more!Who is your teacher?I am Mike X Cohen, a former neuroscience professor (I left that job to focus full-time on teaching online). I'm a bestselling and highly rated instructor on Udemy. I've taught over 250,000 students the foundations of scientific programming, data analysis, data science, and applied mathematics, and I've written several textbooks on programming and data analyses. I worked really hard to make this course a great learning experience for you. Check out what some of my students have said about my other courses:** âBest teacher ever. I am a psychologist and I didnât have mathematical training as an undergrad, but the books and lectures of Dr. Cohen have been life savingâ** âWhat I REALLY like about Mike's style is that not only clear and direct, but he mixes in appropriate amounts of foreshadowing ⦠to make it easier for me to connect the dots.â** âMike X Cohen's courses are by far the best ones I've done in Udemy.âWhat you should do right now:Watch the free preview videos. Check out the reviews of this course. Joining this course is risk-free: If you change your mind after enrolling, Udemy offers a 30 day money back guarantee.
Maths students looking to use computers as a learning tool,Developers keen to improve their math skills,Independent learners returning to maths,Programmers who want to use their coding skills to explore mathematics


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Free Download Udemy - Master Trigonometry (Part 1)
Published: 12/2024
MP4 | Video: h264, 1920x1080 | Audio: AAC, 44.1 KHz
Language: English | Size: 569.27 MB | Duration: 4h 13m
Learn Trigonometry step by step ,build your concepts by doing quizes on each topic solving 500+ interesting problems

What you'll learn
Right Angle Triangle and Pythagoras theorem
Six trigonometric functions and their reciprocals in Right angle Triangle
Trigonometric Identities
Special Triangles and Trigonometric Table
Evaluating unknown sides and angles using trigonometric functions
Applying trigonometric Identities in problems
Some unique triangles that gives new insights in trigonometry
Complementary Relations between trigonometric functions
Magical Hexagon
Angles,Degree and Radiant Measure, Positive, Negative and Refrence Angle
Trigonometric functions sign in different quadrants
Evaluating Trigonometric Functions for any Angle
Sine Rule,Cosine Rule and Ambiguous Case of Sine Rule
Some Special Properties of Trigonometric Functions based on different quadrants
Trigonometry in 3D
Application of Trigonometry in Bearing Angle
Angle of Depression and Elevation
Finding Area of a General Triangle using Sine law
Requirements
Basic Algebra is needed
Concept of square root is prior
Description
Welcome to our comprehensive Trigonometry course, divided into two parts for a structured and step-by-step learning experience. This approach allows you to grasp each concept thoroughly before moving on to the next, making it easier to master the subject.Part One of the course covers essential topics, including:- Pythagoras' Theorem- Six fundamental trigonometric functions- Trigonometric identities- Sine and cosine rules- Finding trigonometric function values for any angle- Applications of trigonometryTo reinforce your understanding, each topic includes at least three quizzes, featuring five or six problems to solve. These quizzes are carefully crafted by the instructor to provide a engaging and challenging learning experience.What sets this course apart is its emphasis on quizzes as a key learning tool. You'll watch short videos (1-3 minutes) and then apply your knowledge by solving quizzes. This approach ensures that you're actively engaged with the material and developing a deep understanding of trigonometry.Unlike traditional courses, this program offers unique insights and perspectives, making learning trigonometry an innovative and enjoyable experience. By completing this course, you'll not only gain a solid grasp of trigonometric concepts but also develop a robust mathematical approach.Join us on this engaging and interactive journey to master trigonometry!
Overview
Section 1: Right Angle Triangle and Pythagoreous Theorem
Lecture 1 Right Angle Triangle and Hypotenous
Lecture 2 Naming The Sides Of a Right Angle Triangle
Lecture 3 Pythagoreous Theorem Basic Explanation
Lecture 4 Pythagoreous Theorem (One Example)
Lecture 5 Simplifying Square Roots
Lecture 6 Squaring a square root term
Lecture 7 Understanding concepts by example
Lecture 8 Some Basic Misunderstanding about Square Root
Lecture 9 Applying algebric identity in order to find a missing side
Section 2: Trigonometry in right angle triangle
Lecture 10 Understanding three basic trigonometric functions in a Right Angle Triangle
Lecture 11 Reciprocal Of Trigonometric Functions
Lecture 12 Using Calculator to evaluate missing angles and sides of a right angle triangle
Lecture 13 Evaluating sides of a right angle triangle using trigonometric functions
Lecture 14 Four Basic Trigonometric Identities
Lecture 15 Using Trigonometric Identities
Lecture 16 Special Triangles and trigonometric table
Lecture 17 One special triangle
Lecture 18 One Important Result
Lecture 19 Complementary relations
Lecture 20 Magical Hexagon
Section 3: Trigonometry in General Triangle
Lecture 21 ANGLE
Lecture 22 Refrence Angle
Lecture 23 Sign Of Trigonometric Functions in different quardants
Lecture 24 Evaluating Trigonometric Functions for any angle
Lecture 25 Sin Rule
Lecture 26 Some Special Properties of Trigonometric Functions
Lecture 27 Ambigious Case of Sine law
Lecture 28 Law Of Cosines
Section 4: Some More Applications
Lecture 29 Trigonometry in 3D
Lecture 30 Bearing Angle
Lecture 31 Angle of elevation and angle of depression
Section 5: Subject Tests
Lecture 32 Solution of problem 7 of practice set 01
A 7th grader to high school level students will be greatly benefited by this course,A student wants to learn Precalculus or Ap Calculus can opt this course,First year college students or anybody who wants to enhance his trigonometry will be immensely benefited by this course


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Free Download Udemy - Mastering Api Testing And Automation
Published: 12/2024
MP4 | Video: h264, 1920x1080 | Audio: AAC, 44.1 KHz
Language: English | Size: 605.34 MB | Duration: 1h 23m
Unlock the full potential of Postman to design, test, and automate APIs efficiently.

What you'll learn
Understand the protocols and data formats in APIs
Understand the fundamental concepts of REST APIs
Interact with APIs through different methods
Perform manual and automated testing of REST APIs
Requirements
Basic understanding of APIs and web technologies.
Description
APIs are the backbone of modern software, enabling communication between applications and systems. Postman is a powerful tool for building, testing, and automating APIs, and mastering it is essential for any developer or tester working in today's fast-paced tech environment. This course is your gateway to becoming a Postman expert, whether you're a beginner or an experienced professional.We begin with the fundamentals, exploring what APIs are, their types (REST, SOAP, GraphQL), and how HTTP methods work. From there, you'll dive into Postman's user-friendly interface to learn how to create requests, organize collections, and leverage environments and variables to streamline your workflow.Moving into intermediate topics, you'll gain hands-on experience writing and running API tests, generating documentation, and setting up mock servers to simulate real-world scenarios. Advanced modules focus on automating API testing using Newman, setting up monitors for scheduled tests, and integrating Postman into CI/CD pipelines for a seamless development process.The course concludes with real-world applications, including hands-on projects, case studies, and best practices for API testing. By the end, you'll have a solid understanding of how to use Postman to build, test, and optimize APIs effectively, giving you an edge in your career.Join us and take your API development skills to the next level!
Overview
Section 1: Course Expectations
Lecture 1 Overview
Section 2: Downloading and Installing the Main Desktop Software
Lecture 2 Link to download the software used in this course
Lecture 3 Terms of Use
Lecture 4 Desktop Software Download
Lecture 5 Installation of the main desktop software
Section 3: Api Rest
Lecture 6 Introduction
Lecture 7 The History and Importance of HTTP (Hypertext Transfer Protocol)
Lecture 8 The History and Importance of XML
Lecture 9 The History and Importance of JSON
Lecture 10 Types of APIs - REST, SOAP, and GraphQL
Lecture 11 Download and Install SoapUI
Lecture 12 URLs for Next Lesson
Lecture 13 Configuring Endpoints in SoapUI
Lecture 14 Understanding Base64: History, Applications, and Its Role in SoapUI
Lecture 15 XML Document for Next Lesson
Lecture 16 Understanding REST APIs
Lecture 17 Download and Install Postman
Lecture 18 Rest API Configuration
Lecture 19 Understanding the Components of a REST API
Lecture 20 Making a GET Request to a REST API
Lecture 21 Sending Data with a POST Request to a REST API
Lecture 22 Updating Resources with a PUT Request to a REST API
Lecture 23 Removing Resources with a DELETE Request to a REST API
Lecture 24 Restoring a Populated Database to Test Additional GET Methods
Lecture 25 Manually Testing Multiple Additional GET Methods
Lecture 26 API Rest Automation Testing using Postman
Lecture 27 Using Variables in Automated REST API Tests
This course is for individuals interested in learning API interaction, testing, and automation, especially those with a foundational knowledge of web development or software testing.


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Free Download Udemy - Mastering Devops For Quality Assurance
Published: 12/2024
MP4 | Video: h264, 1920x1080 | Audio: AAC, 44.1 KHz
Language: English | Size: 679.67 MB | Duration: 2h 19m
Mastering CI/CD, Advanced Testing, and Automation for High-Quality Software Delivery

What you'll learn
Understand the core principles of DevOps, CI/CD workflows, and version control, enabling efficient software delivery and automation in QA
Gain hands-on experience in building, customizing, and debugging CI/CD pipelines to ensure seamless software deployment and testing.
Learn security, performance, and end-to-end testing techniques to ensure high-quality, reliable software within a DevOps pipeline.
Explore Kubernetes, Cloud-Native Testing, and Infrastructure as Code (IaC) to automate test environments and streamline testing in modern DevOps.
Requirements
To take the Mastering DevOps for Quality Assurance course, you should have a basic understanding of software development, including programming and version control (Git). Familiarity with QA practices, such as manual or automated testing, is helpful but not required. A comfort level with using the command line or terminal for development tasks is beneficial, as some exercises may require it. Access to a computer with internet is essential to complete the course materials and projects. While not mandatory, basic knowledge of cloud platforms (e.g., AWS, Azure) will be useful for modules on Cloud-Native Testing and Infrastructure as Code.
Description
Mastering DevOps for Quality Assurance by Arka Talent Tech is your gateway to excelling in the modern DevOps-driven software development landscape. This comprehensive course equips you with the skills, tools, and strategies to enhance software quality through Continuous Integration (CI) and Continuous Deployment (CD).You'll start by understanding the foundations of DevOps, including workflows, version control best practices, and pipeline design. Follow the Hands-on guide to build your own pipeline. From there, dive into advanced testing strategies such as security, performance, and end-to-end testing. Explore the power of Infrastructure as Code (IaC) to automate test environment provisioning and learn how to leverage Kubernetes and cloud-native testing for modern software delivery.The course also focuses on observability and metrics, teaching you to monitor and optimize test quality using advanced tools. Gain insights into continuous feedback loops to refine your CI/CD pipelines, ensuring efficiency and scalability.Culminating in a hands-on capstone project, you'll tackle real-world challenges by building a robust QA pipeline, integrating automation, and delivering high-quality results.Whether you're a QA professional, developer, or DevOps enthusiast, this course prepares you to drive innovation, streamline processes, and deliver top-tier software in dynamic environments. Take the leap and master the intersection of DevOps and Quality Assurance!
Overview
Section 1: Introduction
Lecture 1 Introduction
Section 2: Module 1: Foundations of DevOps for QA
Lecture 2 Overview of DevOps in QA
Lecture 3 CI/CD Workflow Deep Dive
Lecture 4 Version Control Best Practices
Section 3: Module 2: CI/CD Pipeline Design and Execution
Lecture 5 Building CI/CD Pipelines
Lecture 6 Hands-on with Jenkins
Lecture 7 Hands-on with Azure
Lecture 8 Hands-on with CircleCI
Lecture 9 Pipeline Execution and Debugging
Lecture 10 Pipeline Customization
Section 4: Module 3: Advanced Testing Strategies in DevOps
Lecture 11 Security Testing
Lecture 12 Performance Testing
Lecture 13 End-to-End Testing
Lecture 14 Test Orchestration for Multiple Environments
Section 5: Module 4 : Infrastructure as Code (IaC) for QA
Lecture 15 Introduction to IaC
Lecture 16 Test Environment Provisioning
Section 6: Module 5: Kubernetes and Cloud-Native Testing
Lecture 17 Kubernetes for QA
Lecture 18 Containerized Testing
Lecture 19 Cloud Native testing
Section 7: Module 6: Monitoring, Observability, and Metrics
Lecture 20 Observability Tools
Lecture 21 Key metrics , Reporting and Dashboards
Section 8: Module 7: Continuous Feedback and Optimization
Lecture 22 Continuous Feedback and Optimizations
Section 9: Module 8: Capstone Project and Real-World Scenarios
Lecture 23 Capstone project and Real-world scenarios
This course is designed for: Quality Assurance (QA) Professionals: Those looking to enhance their skills by integrating DevOps practices into their testing workflows, automating processes, and improving software delivery. Software Developers: Developers interested in understanding QA from a DevOps perspective and learning to create robust CI/CD pipelines and testing environments. DevOps Engineers: Individuals who want to deepen their knowledge of QA in a DevOps context, focusing on automation, monitoring, and continuous feedback for quality assurance. Tech Enthusiasts: Anyone eager to learn about the intersection of DevOps, software quality, and modern testing strategies.


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Free Download Udemy - Mastering GenAI on AWS
Published: 12/2024
Created by: Ricky Brar
MP4 | Video: h264, 1280x720 | Audio: AAC, 44.1 KHz, 2 Ch
Level: Intermediate | Genre: eLearning | Language: English | Duration: 37 Lectures ( 4h 5m ) | Size: 1.7 GB

Dive deep into Amazon Bedrock, LangChain and Amazon Q to build and scale GenAI powered solutions.
What you'll learn
The core principles of Generative AI and how it's revolutionizing industries.
How to use AWS services for building and scaling AI-powered solutions.
Practical techniques for implementing AI pipelines, from data preprocessing to model deployment.
Hands-on guidance for integrating GenAI into real-world applications.
Requirements
Basic Knowledge of Cloud Computing
Foundational Programming Skills
Description
Unlock the potential of Generative AI (GenAI) and take your career to new heights with "Mastering GenAI using AWS." This comprehensive, hands-on course is designed for data professionals, developers, and AI enthusiasts eager to build and scale intelligent applications using cutting-edge tools from Amazon Web Services (AWS). Whether you're new to GenAI or looking to expand your expertise, this course provides the practical knowledge and skills needed to succeed in the rapidly evolving AI landscape. You'll dive into foundational concepts, explore the transformative impact of GenAI, and learn how to leverage AWS services like Amazon Bedrock and Amazon Q for real-world applications. From setting up your environment and building reliable AI pipelines to deploying production-ready solutions, this course offers a step-by-step approach that ensures you can confidently implement AI technologies in your projects. With a focus on practical learning, you'll gain hands-on experience through engaging tutorials and projects, helping you develop skills that are immediately applicable to your career. Whether you're looking to advance in your current role or pivot into AI-driven fields, this course equips you with the tools and knowledge to stay ahead of the curve. Join a vibrant community of learners and start your journey into the world of Generative AI with AWS today!
Who this course is for
Data Professionals looking to upskill in AI-driven solutions.
Developers aiming to harness the power of AWS for AI projects.
AI Enthusiasts eager to gain hands-on experience with the latest technologies.
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Free Download Udemy - Mastering Pytorch (2024)
Published: 12/2024
MP4 | Video: h264, 1920x1080 | Audio: AAC, 44.1 KHz
Language: English | Size: 1.35 GB | Duration: 2h 43m
From Basics to Advanced Deep Learning Training

What you'll learn
Understand PyTorch fundamentals, including tensors and computation graphs
Build and train neural networks using PyTorch's nn_Module
Preprocess and load datasets with DataLoaders and custom datasets
Implement advanced architectures like CNNs, RNNs, and Transformers
Perform transfer learning and fine-tune pre-trained models
Optimize models using hyperparameter tuning and regularization
Deploy trained models using TorchScript and cloud services
Debug and troubleshoot deep learning models effectively
Develop custom layers, loss functions, and models
Collaborate with the PyTorch community and contribute to open-source projects
Requirements
Basic Computer Skills: Familiarity with using a computer and installing software
Python Programming: Basic knowledge of Python (variables, functions, loops)
Mathematics: Understanding of basic algebra, linear algebra, and calculus concepts (vectors, matrices, derivatives)
Machine Learning Basics (optional): Awareness of ML concepts like models, training, and evaluation is helpful but not mandatory
Enthusiasm to Learn: A willingness to learn through hands-on projects and experiments
Description
The "Mastering PyTorch: From Basics to Advanced Deep Learning Training" course is a complete learning journey designed for beginners and professionals aiming to excel in artificial intelligence and deep learning. This course begins with the fundamentals of PyTorch, covering essential topics such as tensor operations, automatic differentiation, and building neural networks from scratch. Learners will gain a deep understanding of how PyTorch's dynamic computation graph works, enabling flexible model creation and troubleshooting.As the course progresses, students will explore advanced topics, including complex neural network architectures such as CNNs, RNNs, and Transformers. It also dives into transfer learning, custom layers, loss functions, and model optimization techniques. Learners will practice building real-world projects, such as image classifiers, NLP-based sentiment analyzers, and GAN-powered applications.The course places a strong emphasis on hands-on implementation, offering step-by-step exercises, coding challenges, and projects that reinforce key concepts. Additionally, learners will explore cutting-edge techniques like distributed training, cloud deployment, and integration with popular libraries.By the end of the course, learners will be proficient in designing, building, and deploying AI models using PyTorch. They will also be equipped to contribute to open-source projects and pursue careers as AI engineers, data scientists, or ML researchers in the growing field of deep learning.
Overview
Section 1: Introduction and Foundations
Lecture 1 Introduction to Learning PyTorch from Basics to Advanced Complete Training
Lecture 2 Introduction to PyTorch
Lecture 3 Getting Started with PyTorch
Section 2: Core Concepts and Model Building
Lecture 4 Working with Tensors
Lecture 5 Autograd and Dynamic Computation Graphs
Lecture 6 Building Simple Neural Networks
Section 3: Data Handling and Model Training
Lecture 7 Loading and Preprocessing Data
Lecture 8 Model Evaluation and Validation
Lecture 9 Advanced Neural Network Architectures
Lecture 10 Transfer Learning and Fine-Tuning
Section 4: Advanced Techniques and Deployment
Lecture 11 Handling Complex Data
Lecture 12 Model Deployment and Production
Lecture 13 Debugging and Troubleshooting
Lecture 14 Distributed Training and Performance Optimization
Section 5: Research, Customization, and Community
Lecture 15 Custom Layers and Loss Functions
Lecture 16 Research-oriented Techniques
Lecture 17 Integration with Other Libraries
Lecture 18 Contributing to PyTorch and Community Engagement
Beginners in AI/ML: Those with no prior deep learning experience but eager to learn PyTorch from scratch,Data Science Enthusiasts: Aspiring data scientists looking to add PyTorch to their ML toolkit,Developers and Engineers: Software developers transitioning into AI and deep learning roles,Researchers and Academics: Those exploring cutting-edge ML research using PyTorch,Career Switchers: Professionals transitioning to AI-related careers


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Free Download Udemy - Mastering REST APIs with FastAPI
Last updated: 12/2024
Created by: Jose Salvatierra
MP4 | Video: h264, 1280x720 | Audio: AAC, 44.1 KHz, 2 Ch
Level: Intermediate | Genre: eLearning | Language: English + subtitle | Duration: 121 Lectures ( 13h 32m ) | Size: 5.1 GB

Build professional APIs using FastAPI, including 100% test coverage, background tasks, user authentication, and more!
What you'll learn
Gain broad experience with FastAPI
Understand how to test FastAPI apps using Pytest with 100% test coverage
Become a master of logging with the built-in logging module
Add user authentication with password hashing and Bearer tokens
Use an async SQL database and model one-to-many and many-to-many relationships
Send user emails when they register without a performance hit using background tasks
Handle file uploads and store them in a third-party service
Deploy your FastAPI apps to the cloud
Requirements
Some prior programming experience in any programming language.
All software used in the course is provided, and completely free
Complete beginners may wish to take a beginner Python course first, and then transition to this course afterwards
Description
With FastAPI you can build complete, high-performance APIs in days, and adding new features is blazing-fast. That's why FastAPI has become so popular in recent years.In this course, I'll show you how to go from a blank slate to a complete, finished FastAPI application.The projectWe'll build social media API with user authentication, email sending, and file upload. Users will be able to register and log in using Bearer (JWT) tokens. They will be able to create posts, leave comments, and like existing posts.We'll use Pydantic for data validation and encode/databases as our database connectivity library.Advanced knowledgeUse background tasks in FastAPI to improve performance when running slow code, such as when sending emails (covered in the course) or when making slow requests to third party APIs (also covered).Throughout the course we use an async database library, again to maximise performance, which is nonetheless straightforward to use. You'll learn about the different types of data relationships and how to model them, including many-to-many relationships.You'll learn how to handle file uploads and what to do with the uploaded files, so you don't run out of server space.Complete API testingFinally, 100% of the code in this course has tests. You'll use pytest extensively to write integration and unit tests for the API. You'll learn about pytest fixtures, parametrization, and testing conventions.Part of real-world development means logging! There's a lot of logging knowledge in this course, including how to set up the logging module properly, when to make logging calls, and where to store logs when your application is deployed.DeploymentsOf course, I'll show you how to deploy your FastAPI app using popular service Render. You can deploy your FastAPI app for free, but I'll also show you some paid options for improved performance.We'll also look at application management, error handling with Sentry, and CI/CD with GitHub Actions.If you use or want to use FastAPI, this course contains everything you need to develop complete, real-world APIs.Let's get started. I'll see you on the inside!
Who this course is for
Software developers looking to expand their skill-set by learning to develop professional grade FAST APIs
Students wanting to extend the capabilities of mobile and web applications by using server-side technologies
Homepage:

https://www.udemy.com/course/rest-api-fastapi-python/

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Free Download Udemy - Mastering Safe Manicure With The E-File
Published: 12/2024
MP4 | Video: h264, 1920x1080 | Audio: AAC, 44.1 KHz
Language: English | Size: 477.63 MB | Duration: 0h 32m
The Ultimate Guide to Safe E-File Manicure Technics: Protecting Nails, Skin and Cuticles with Confidence.

What you'll learn
Safe manicure service using electric file
Information about electric file machines
Which is the best speed when using an electric file
How to choose a safety bit
Mastering your technique
Requirements
This technique is great for every skill level. From beginners to profesional technicians
Description
This comprehensive online manicure course is dedicated to teaching the safe and effective use of e-file throughout the entire manicure process. Designed for professionals and beginners alike, the course focuses exclusively on techniques that protect the natural nail and the epidermal band, ensuring a damage-free and comfortable experience for clients.In this course, I will guide you step-by-step through my unique technique, which prioritizes safety and precision. You will learn:• How to perform a complete manicure using the e-file only, without compromising the health of the natural nail or surrounding tissue.• Proper techniques and movements to avoid cutting live tissue or damaging the cuticle and skin.• How to select and use safety bits specifically designed to provide effective yet gentle results.As injuries from improper e-file use are on the rise, this course addresses the critical need for safe practices. Through detailed demonstrations, I will show you how to prevent common mistakes that can lead to cutting live skin or harming the nail bed.Additionally, the course provides in-depth knowledge about:• The functionality and operation of the e-file.• How to choose the right bits for various manicure needs, ensuring optimal safety and efficiency.By the end of this course, you will have the confidence and expertise to perform a safe, professional manicure using the e-file. Elevate your skills, protect your clients, and set yourself apart with safe and effective techniques.
Overview
Section 1: Introduction & nail anatomy (English captions included)
Lecture 1 Hello and welcome to my course (English captions included)
Lecture 2 For who is this lesson suitable for. (English captions included)
Lecture 3 Nail Anatomy (English captions included)
Lecture 4 Nail Anatomy Cuticles (English captions included)
Lecture 5 Nail Anatomy Groove points (English captions included)
Section 2: Electic file drill, bits & tools, Manicure service (English captions included)
Lecture 6 Electric file details (English captions included)
Lecture 7 Skin Safety bits (English captions included)
Lecture 8 Filing natural nails (English captions included)
Lecture 9 E-file manicure (English captions included)
Lecture 10 Course theory in an article video
Lecture 11 Wrapping Up: Thank You and Next Steps
Nail technicians


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Free Download Udemy - Media Training For Professionals (2024)
Last updated: 12/2024
MP4 | Video: h264, 1920x1080 | Audio: AAC, 44.1 KHz
Language: English | Size: 994.24 MB | Duration: 0h 44m
Master Media Interviews: Tools to Control Your Interview and Deliver Your Message

What you'll learn
Understanding Media Engagement Benefits: Learn the importance of media engagement and how it can elevate your professional profile.
Crafting Key Messages: Use techniques like the Three W's and the Inverted Pyramid to package your messages into clear, concise, and compelling statements.
Pre-Interview Preparation: Master the steps for thorough preparation before any media appearance.
Interview Control Techniques: Develop skills such as bridging to maintain control and steer the interview in your favour.
Practical Application: Practice these techniques in a course-project scenario to build confidence and proficiency.
Requirements
In today's fast-paced, information-driven world, engaging in media interviews is a critical skill for researchers, business founders, and more. There is no necessary background or skills to take this course, but we recommend learners have some sort of device they can record themselves on for the Practice module. This could be a cellphone, or even an audio-only recording device.
Description
About this ClassIn today's fast-paced, information-driven world, engaging in media interviews is a critical skill for researchers, business founders, and more. So, if you expect to ever find yourself on a podcast or in a video interview, this course is for you. Many of these strategies are, of course, helpful outside of media interactions and applicable for in-person presentations, boardrooms, and more.Ready to take control of and transform your messaging?Whether it's to promote groundbreaking research, highlight business achievements, or manage a crisis, the ability to effectively communicate with the media can significantly impact your reputation and success.Designed for startup founders, researchers, and other professionals, this class will help you boost your visibility, credibility, and influence through effective media engagement strategies.Why Take This Class:Media skills are essential for anyone looking to amplify their professional presence and influence. In today's media-driven world, knowing how to effectively communicate with the press can open doors to new opportunities and collaborations. The skills you'll learn in this course will not only help you shine in interviews but also enhance your overall communication strategy. Of course, skills like these can be used beyond just interviews, but are useful for boardrooms, and beyond.Who I am:With over 15 years of media-production experience, conducting more than 100 interviews a year, I bring a wealth of knowledge and practical insights to help you master the art of media interaction.I have worked with more than five University Presidents, actors including Dwayne Johnson, Ariana Grande, and William Shatner (and more), and thought leaders and scientists including Katie Bouman (who helped develop the algorithm that created the first-ever image of a black hole), Pieter Cullis (who developed the lipid nanoparticle drug delivery platform used in mRNA vaccines), and Suzanne Simard (known for her work on how trees interact and communicate using below-ground fungal networks), and countless more.What you'll learn:Understanding Media Engagement Benefits: Learn the importance of media engagement and how it can elevate your professional profile.Crafting Key Messages: Use techniques like the Three W's and the Inverted Pyramid to package your messages into clear, concise, and compelling statements.Pre-Interview Preparation: Master the steps for thorough preparation before any media appearance.Interview Control Techniques: Develop skills such as bridging to maintain control and steer the interview in your favour.Practical Application: Practice these techniques in a course-project scenario to build confidence and proficiency.Downloadable Resources: With a number of downloadable resources and worksheets, you'll have ready to use tools at your fingertips including a list of important bridging phrases, templates for key-message prep, and more.
Overview
Section 1: Introduction
Lecture 1 Introduction
Section 2: Understanding Media Engagement
Lecture 2 Understanding Media Engagement
Lecture 3 News Values
Section 3: Preparing Key Messages
Lecture 4 Preparing Key Messages
Section 4: Interview Preparation
Lecture 5 Interview Preparation
Section 5: Interviews
Lecture 6 Taking Control with Bridging Phrases
Lecture 7 Understanding Common Questions
Section 6: Course Project
Lecture 8 Course Project Instructions
Section 7: Interview Types
Lecture 9 Interview Types
Lecture 10 Tips for Interviews
Section 8: Course Summary
Lecture 11 Final Reflections
Whether it's to promote groundbreaking research, highlight business achievements, or manage a crisis, the ability to effectively communicate with the media can significantly impact your reputation and success. Designed for startup founders, researchers, and other professionals, this class will help you boost your visibility, credibility, and influence through effective media engagement strategies.,This course is great for anyone who expects to be interviewed such as in a podcast or video.


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