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Free Download A Complete Guide to Integral Calculus (Advanced Calculus)
Published 11/2024
Created by Gina Chou
MP4 | Video: h264, 1280x720 | Audio: AAC, 44.1 KHz, 2 Ch
Genre: eLearning | Language: English | Duration: 43 Lectures ( 4h 45m ) | Size: 2.4 GB

Mastering Integral Calculus: Jacobians, Gamma Functions, and Surface Integrals
What you'll learn
Understand and apply the concept of Jacobians in polar coordinates to transform functions of two variables.
Evaluate double integrals by changing variables, simplifying computations for complex regions.
Apply double integrals to solve real-world problems, including area, mass, and center of mass calculations in polar coordinates.
Analyze and evaluate integrals related to the Gamma function and its properties.
Comprehend the properties and applications of the Gamma function and use it in integral calculus problems.
Apply the Laplace transform to solve integrals and understand its importance in mathematical modeling.
Understand Jacobians in cylindrical and spherical coordinates and apply them for coordinate transformations in three-dimensional problems.
Perform triple integrals by changing variables to cylindrical or spherical coordinates to simplify integrals.
Apply triple integrals to real-world contexts, such as calculating volumes, masses, and centers of mass for 3D objects in cylindrical or spherical coordinates.
Calculate surface area using integration techniques for surfaces defined parametrically or in coordinate systems.
Evaluate surface integrals in cartesian, cylindrical, and spherical coordinates.
Apply surface integrals to solve problems in physics and engineering, such as flux and surface area calculations in various coordinate systems.
Requirements
Proficiency in Single-Variable Calculus (Calculus 1 and 2): A solid understanding of differentiation and integration for single-variable functions, including the Fundamental Theorem of Calculus, techniques of integration, and applications of single-variable integrals.
Introductory Multivariable Calculus Knowledge (Calculus 3): Familiarity with partial derivatives, double and triple integrals, and basic coordinate transformations (e.g., Cartesian to polar).
Basic Linear Algebra Skills: Understanding of vectors and matrices, which is helpful for transformations and working with Jacobians.
Description
How This Course WorksThis course, A Complete Guide to Integral Calculus (Advanced Calculus), builds upon foundational calculus to dive deeply into the behavior and applications of functions in multiple dimensions. Focusing on integral calculus, it also provides an introduction to key vector calculus concepts that follow in the complete series, including major theorems like Green's, Stokes', and the Divergence Theorem. This course is essential for students in mathematics, physics, engineering, and other fields who want a practical and theoretical understanding of multivariable calculus tools for real-world problem-solving.Who Should Take This Course?This course is ideal for university students currently enrolled in Advanced Calculus, or those who have completed Calculus III and Linear Algebra. It's also designed for anyone eager to explore multivariable calculus applications more deeply, especially in fields where calculus techniques are indispensable.Course OverviewThis course includes Integral Calculus, the first part of the complete Advanced Calculus series. You'll have access to lecture videos, whiteboard notes, and problem sets with solutions. Topics covered here include:Integral Calculus (Sections Included in This Course)Two-Variable Functions: Explore Jacobians in polar coordinates, variable changes in double integrals, and applications of double integrals.Gamma Function and Laplace Transform: Understand a key integral related to the Gamma function, the Gamma function itself, and the Laplace transform.Three-Variable Functions: Learn about Jacobians in cylindrical and spherical coordinates, transformations in triple integrals, and applications of triple integrals.Surface Area and Surface Integrals: Calculate surface areas and evaluate surface integrals in Cartesian, cylindrical, and spherical coordinates.Vector Calculus, Integral Theorems, and Differential Calculus of Several Variables (Available in the Complete Course)Vector and Scalar FieldsLine IntegralsFlux, Circulation, and Vector OperatorsIntegral TheoremsIntroduction to Partial Differential EquationsTopics in Differential Calculus of Several VariablesCourse ContentVideos: Each topic is introduced and explained thoroughly, with step-by-step examples, making complex problems manageable.Notes: Downloadable lecture notes for each section to allow for offline review and reinforcement.Assignments: Practice problem sets with solutions so you can check your work after attempting each problem yourself.Highlights of What's IncludedLifetime access to A Complete Guide to Integral Calculus (Advanced Calculus).Downloadable lecture videos and notes for anytime review.Two comprehensive problem sets with solutions to reinforce learning.An instructor committed to your success every step of the way.See you inside the course!- Gina Chou
Who this course is for
Undergraduate and graduate students in mathematics, physics, engineering, and related fields.
Seek a deeper understanding of integral calculus concepts and techniques for multi-variable functions.
Wish to develop skills in using advanced calculus tools like Jacobians, Gamma functions, and Laplace transforms to simplify and solve complex integrals.
Aim to apply integral calculus to real-world problems in areas such as fluid dynamics, electromagnetism, and probability theory.
Homepage

https://www.udemy.com/course/a-complete-guide-to-integral-calculus-advanced-calculus/

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Free Download A Dynamic Introduction To Physical Health And Wellness1
Published 11/2024
MP4 | Video: h264, 1920x1080 | Audio: AAC, 44.1 KHz
Language: English | Size: 2.12 GB | Duration: 0h 54m
Unlock Your Path to Vitality

What you'll learn
Identify possible causes of physical wellness and how to overcome them.
Understand nutrition and body weight management and how to apply each to lead a healthier "physically well" lifestyle.
Create a comprehensive action plan related to physical wellness and how you (the learner) will achieve them.
Identify allergies and other environmental side-effects and how they impact your physical wellness.
Requirements
No prerequisites needed-just bring your open mind and a desire to embrace positive changes! This course invites you to explore new ideas and implement impactful behaviors that will elevate your physical health. Let's embark on this enriching journey together!
Description
Physical WellnessWhat is physical wellness?What can one do to achieve optimal physical wellness? This course demonstrates predictive and preventative measures to take to maintain physical wellness. The course touches upon some prevalent health issues and how you can achieve physical wellness by becoming familiar with the issues and how to prevent them.Upon successful completion of this course students will be able toefine prevalent issues related to physical wellness in householdsIdentify allergies and other environmental side-effects and how they impact your physical wellnessIdentify possible causes of physical wellness and how to overcome themUnderstand nutrition and body weight management and how to apply each to lead a healthier "physically well" lifestyleDefine prevention of prevalent physical health-related issues (what individuals can do at home or on their own)Create a comprehensive action plan related to physical wellness and how you (the learner) will achieve them.Note: This is not a clinical course but rather a course of personal wellness where learners will be provided with insight as to what are the issues and how to overcome them.Learner Assessment:Learners are asked to keep a "wellness journal" throughout the course. It is here you can take personal notes or provide the answers to questions you are asked to consider for the readings/videos/etc. You will use these notes in your final assignment -- the Action Plan.There are check your understanding questions between topicsYou are expected to participate in the discussion forums and to comment on your peers' responses.The final assignment is an action plan. This is where you can use the entries you have made in your wellness journal as they will help you create an action plan for physical wellness. Enjoy your journey to personal wellness!
Overview
Section 1: Introduction
Lecture 1 Watch: Welcome to this coursse
Lecture 2 Watch: Course Outline
Section 2: Embracing Your Journey to Physical Health and Wellness
Lecture 3 Watch: What does it mean to be physically well
Lecture 4 Watch: Breaking the Cycle
Lecture 5 Watch: Nutrition and Obesity, two very important components of Physical Wellness
Lecture 6 Watch: Food Myths - Part 1 of 3
Lecture 7 Watch: Food Myths - Part 2 of 3
Lecture 8 Watch: Food Myths - Part 3 of 3
Lecture 9 Watch: Physical Myths - Part 1 of 2
Lecture 10 Watch: Physical Myths - Part 2 of 2
Lecture 11 Watch Debunking Common Workout Myths
Lecture 12 Watch: Overview of the Harmful Effects of Stress on Physical Wellness
Lecture 13 Watch Overview- Effects of Sleep (or Lack of Sleep) on Physical Wellness
Lecture 14 Watch: Overview- Is Stress Making Your Allergy Symptoms Worse?
Lecture 15 Watch: Your habits determine who and what you are.
Lecture 16 Watch: Here is what you need to create a Physical Wellness Action Plan
Section 3: Explore More: Valuable Resources at Your Fingertips
Lecture 17 Watch: Physical wellness checklist
Lecture 18 Watch: The Canadian Food Guide
Lecture 19 Watch: Infographic - The numerous ways insufficient sleep impacts health.
Section 4: Congratulations! Your Next Adventure Awaits
Lecture 20 Watch; Congratulations on completing this course
Lecture 21 Watch: What is next?
Join this transformative course designed for anyone eager to enhance their understanding of physical health and wellness. Discover powerful strategies to elevate your well-being and unlock your full potential!
Homepage

https://www.udemy.com/course/a-dynamic-introduction-to-physical-health-and-wellness1/

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Free Download A Professional Toolkit for Emotional Resilience & Health
Published 11/2024
MP4 | Video: h264, 1280x720 | Audio: AAC, 44.1 KHz, 2 Ch
Language: English | Duration: 5h 41m | Size: 7.23 GB
Go Beyond Basic Business Fundamentals and Learn the True Foundation of Success - Emotional Resilience

What you'll learn
Learn Proven Strategies and Techniques to Build Emotional Resilience & Intelligence
Stop Allowing Stress to Rule Your Body and Mind - Find New Ways to Manage, Cope, and Reduce Stress & Anxiety
Identity, Prevent, and Manage Workplace Stress, Burnout, and Secondary Trauma
Learn Science-backed Methods to Go From a Fixed Mindset to a Growth Mindset, so You Can Get Unstuck in Life and Work
Requirements
There are no requirements for this course.
Description
We all experience challenging times. This is our common human experience. What's important is how we respond. Our ability to navigate stressful times can make or break our success. Resilience helps us face those challenges head on and bounce back from them, meaning, we don't quit, we learn. When we're emotionally resilient and emotionally healthy, our ability to handle stress and challenges increases. We are more creative, authentic, innovative, and have better personal and professional relationships. Successful emotion regulation is key to resilience (Troy & Mauss, 2011).Without emotional resilience, communication and interpersonal skills suffer, leading to conflict and misunderstandings that could have been avoided. If we want to be the best versions of ourselves as entrepreneurs, leaders, and professionals, our emotional resilience is our hidden superpower.As emotionally resilient people, we can approach business challenges with a growth mindset, viewing obstacles as opportunities rather than setbacks. This perspective opens doors to creative solutions and adaptability. As entrepreneurs or business professionals, how many of us are looking for business strategies or ways to be more productive at work, instead of fixing our eyes on the deeper issues? According to studies from Harvard Business Review, resilient leaders tend to be more productive, creative, and satisfied in their roles.Our emotional health is a crucial part of this whole equation - and prioritizing it can change our lives and business. It's not easy to face the inner critic, the voices inside, and the limiting beliefs we carry, but we must. We have to begin to acknowledge that external activities are not cutting it. We must dig deeper.We often get so caught up in strategies, growth, business planning, and pushing ourselves to achieve that we forget the one thing that holds it all together: our well-being.This isn't just a typical course; it's an interactive and experiential TOOLKIT with tried, tested, and verified techniques and strategies to help you develop practical skills to build emotional resilience.There are 113 mini-lessons and exercises led by several licensed mental health professionals, industry experts, and healthcare professionals to enhance your emotional well-being, empowering you to move through challenges with strength and clarity for long-term professional sustainability. Emotional health and resilience are non-negotiable advantages in our professional toolkit. These directly impact performance, relationships, and physical well-being, and investing in emotional resilience is as essential as investing in any other skill for business growth.Health is the foundation from which everything else is built and impacts every area of our life, that is why being our healthiest - mind, body, and spirit - is so important to living a fulfilled life and having a thriving career. If you're ready to develop a growth mindset, cultivate more self-compassion and self-love, strengthen your ability to manage stress, prevent burnout, and build up your resilience, then you are in the right place!
Who this course is for
Female Entrepreneurs Who Want to Build Sustainable Business Success
Women Who Work in a Helping Profession
Women Executives and Leaders Who Want to Thrive In Their Role and Create Healthy Work Environments
Any Entrepreneur or Professional - Content is Curated for Women but Anyone Can Benefit From the Lessons
Homepage

https://www.udemy.com/course/built_to_last_toolkit/

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Free Download AI ASAP - ChatGPT, Claude, Midjourney, Flux & More
Published 11/2024
Created by Arnold Oberleiter
MP4 | Video: h264, 1280x720 | Audio: AAC, 44.1 KHz, 2 Ch
Genre: eLearning | Language: English | Duration: 24 Lectures ( 2h 56m ) | Size: 2.2 GB

Master LLMs and Diffusion Fast: AI Images, Music, Text, Code and Prompt Engineering
What you'll learn
Basic Concepts of Artificial Intelligence (AI)
Historical overview and origins of the AI hype
Introduction to Large Language Models (LLMs) like ChatGPT, Claude, Gemini, Llama
Foundations and applications of diffusion models like Midjourney, Flux, Adobe Firefly & Stable Diffusion
Practical prompt engineering for effective use of LLMs
Overview of multimodality and its significance in AI
Comparison and evaluation of leading LLMs on the market
Practical use and prompt engineering of diffusion models, including DALL·E, Adobe Firefly, Midjourney, Flux and Stable Diffusion
Insights into AI-generated videos, voices, and music like Elevenlabs, Suno, Udio and more
Tips and strategies for beginners to start and experiment with AI technologies
Requirements
No prior knowledge or technical expertise required, everything will be shown step by step.
Description
Master AI Quickly-Without the OverwhelmYou're busy-we get it. You want to harness the power of AI but don't have time for a 50-hour course. Imagine gaining practical AI skills that immediately boost your efficiency in graphics, text, emails, code, and more-all without the complexity.Why This Course Is Perfect for You:Learn Fast: Dive straight into practical AI applications that you can use right away.Boost Efficiency: Automate and enhance your daily tasks to save time and resources.Stand Out: Impress colleagues and friends with your newfound AI expertise.What You'll Gain:Clear Understanding of AI Essentials: Grasp AI, LLMs, and diffusion models without technical jargon.Master Prompt Engineering: Unlock the full potential of ChatGPT and other LLMs like Gemini, Claude or Llama with effective prompts.Create Stunning Visuals: Use diffusion models like DALL-E, Adobe Firefly, Stable Diffusion, Flux, Recraft and Midjourney to generate amazing graphics.Explore AI in Media: Delve into AI-powered videos, voiceovers, and music to elevate your content creation with tools like Elevenlabs, Kling, Runway, Pika and moreJoin Thousands Who've Transformed Their SkillsWith over 10.000 five-star ratings on my Courses, professionals like you have fast-tracked their AI knowledge.Ready to Unlock Your AI Potential?Don't let a busy schedule hold you back. Enroll now and take the first step toward transforming your future today.See you inside the course!
Who this course is for
For anyone who wants to learn AI as quickly as possible.
For people who are busy and have a lot to do (so they're looking for a quick shortcut)
Homepage

https://www.udemy.com/course/ai-asap-chatgpt-claude-midjourney-flux-more/

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Free Download AI And Increasing Productivity At Work Level 2
Published 11/2024
MP4 | Video: h264, 1920x1080 | Audio: AAC, 44.1 KHz
Language: English | Size: 5.29 GB | Duration: 3h 0m
AI-driven task automation, advanced AI tools, AI work flow automation

What you'll learn
How to Increase Productivity at Work using AI
Learn about AI-driven task automation
Learn how tuse advanced AI tools
AI work flow automation
Requirements
An Interest in AI, or Students who have taken my Other AI course
Description
Unlock the power of AI to enhance your productivity and streamline your workflow in this intermediate-level course, "AI and Increasing Productivity at Work (Level 2)." Designed for professionals who are familiar with the basics of AI, this course will take your skills to the next level by introducing advanced AI tools, strategies, and techniques that can be seamlessly integrated into your daily work routine.You will explore:AI-driven task automation: Learn how to automate repetitive tasks and manage projects more efficiently.Advanced AI tools: Discover cutting-edge AI software and platforms that can optimize your time and reduce manual workload.Smart decision-making: Understand how AI can provide data-driven insights to improve decision-making and problem-solving.Collaboration and communication: Leverage AI tools to enhance team collaboration, communication, and virtual meetings.AI for workflow optimization: Find out how to identify bottlenecks in your workflow and implement AI solutions to streamline processes.By the end of this course, you'll have the skills to apply AI in practical, real-world scenarios to boost your productivity, improve time management, and achieve your work goals more effectively. This course is ideal for professionals in all industries looking to stay competitive in the rapidly evolving AI landscape.Key Features:Hands-on projects to apply AI tools to real work scenariosIn-depth tutorials on advanced AI software and platformsPractical examples of AI's impact on productivity across different industriesInteractive quizzes to solidify your knowledgePrerequisites: Basic understanding of AI concepts or completion of my other Udemy course, Introduction to AI and Enhancing Productivity at Work (Level 1).
Overview
Section 1: Introduction
Lecture 1 Introduction
Lecture 2 Deep Learning and Neural Networks
Lecture 3 Neural Networks
Lecture 4 Deep Learning
Lecture 5 Natural Language Processing, NLP and AI
Lecture 6 NLP
Lecture 7 Deep Learning and Machine Learning
Lecture 8 Interpretability
Section 2: Advanced AI Concepts and Technologies
Lecture 9 AI Driven Project Management
Lecture 10 AI for Resource Planning
Lecture 11 AI for Project Forecasting
Lecture 12 Using Chat GPT to Enhance Productivity
Section 3: Enhancing Team Collaboration with AI
Lecture 13 Enhancing Team Collaboration
Lecture 14 Team Building
Lecture 15 Keeping Morale High
Lecture 16 Case Study: Company X
Lecture 17 AI, Human-Machine Collaboration
Lecture 18 Fostering Collaborative Culture
Lecture 19 AI in Performance Management
Section 4: AI for Data-Driven Business Strategy
Lecture 20 AI for Data Driven Business Strategy
Lecture 21 AI for Predictive Decision Making
Lecture 22 Benefits of AI in Business Strategy
Lecture 23 AI for Business Optimization
Lecture 24 Creating an AI Driven Business Strategy
Lecture 25 More on Using AI for AI Driven Business Strategy
Lecture 26 Building a Road Map
Lecture 27 Building a Road Map (Continued)
Lecture 28 Benefits of AI Strategy
Lecture 29 The Infinite Game
Lecture 30 Social Media Marketing Advice
Section 5: AI and Human-Machine Collaboration
Lecture 31 AI Powered Virtual Collaboration Platforms
Lecture 32 Benefits of AI in Process Optimization
Lecture 33 Human Centered AI Design
Lecture 34 AI Augmenting Human Creativity
Lecture 35 AI Augmented Leadership and Management
Lecture 36 Enhanced Employee Engagement
Section 6: Scaling AI Solutions and Overcoming Challenges
Lecture 37 AI Solutions Implemented
Lecture 38 Upskilling Employees for Collaboration
Lecture 39 Hybrid Skills Training
Lecture 40 Creating an Enhanced Learning Culture
Lecture 41 Scaling
Lecture 42 Cross Departmental AI Strategy
Lecture 43 Establishing a Center of Excellence
Lecture 44 Implementation
Lecture 45 AI in Team Building
Lecture 46 The Future of GPTs
Lecture 47 Continuous Improvement
Lecture 48 AI at Work: Case Study
Section 7: Extra Material
Lecture 49 How A.I. I Revolutionizing Productivity
Lecture 50 More on AI and Productivity
Lecture 51 Eliminating Bias
Lecture 52 Nexus
Lecture 53 The Future of GPTs
Lecture 54 Embrace AI, Transform your Business
Lecture 55 Emerging AI Technologies
Lecture 56 More on Emerging AI Technologies
Lecture 57 Preparing for AI Changes
Lecture 58 More on Preparing for AI Changes
Lecture 59 Getting Ready for AI - Preparing for Changes
Lecture 60 Don't Overthink it
Lecture 61 Good Morning, Good Life
For Beginners to Advanced students who use AI now or want to use AI.
Homepage

https://www.udemy.com/course/ai-and-increasing-productivity-at-work-level-2/

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Free Download AI Art Made Easy - Photoshop-like Magic for Stable Diffusion
Published 10/2024
Created by Chris White
MP4 | Video: h264, 1280x720 | Audio: AAC, 44.1 KHz, 2 Ch
Genre: eLearning | Language: English + subtitle | Duration: 22 Lectures ( 2h 7m ) | Size: 1.75 GB

Krita Diffusion's Easy Approach to AI Art Creation: Support Stable Diffusion, SDXL, Flux, Controlnet and more
What you'll learn
A systematic course to teach you how to write professional prompts and master the fundamentals of AI painting
Acquire all the relevant skills to become an AI artist
Control your character's pose, swap outfits, adjust lighting direction, and everything in your scene
Transform ordinary streetscapes into cyberpunk masterpieces
Create refined interior designs from simple sketches
Use ChatGPT to work for you and greatly improve work efficiency
Requirements
No programming experience needed
Internet Connection
A computer with a minimum of 4GB dedicated graphics memory
Description
Are you ready to unlock your creative potential with Krita and AI? In a world where art meets technology, this course is designed for both beginners and seasoned artists who want to harness the power of AI-driven image generation. Why This Course?Art is a language that transcends boundaries, and Krita is the perfect tool to express your vision. With the integration of AI, you can elevate your artwork to new heights, transforming your ideas into stunning visuals at the click of a button.But we know that starting with new software and technology can be intimidating. That's why this course is structured to build your confidence and skills step by step. It's meticulously designed to help you learn quickly and apply what you've learned to your daily life and work. We focus on the essentials, using minimal technical jargon and cutting out unnecessary fluff, so you get straight to the core of what's important.What You Will Learn:Getting Started with Krita diffusion: Learn how to import files, utilizing resources from our course materials. You'll discover how to navigate through Krita's intuitive interface, making it easy to start your creative journey.Using Krita-Diffusion Resources: We'll guide you through importing style resources, setting you up for collaborative learning and real-time practice throughout the course.The Course Structure: Our approach is unique and practical. We believe in learning through doing! You'll engage in hands-on exercises, troubleshoot real problems, and learn the fundamental theories behind prompts and AI image generation.Advanced Techniques: Don't worry if you're not an artist! We will show you how even the most basic sketches can be transformed into sophisticated AI-generated images. Learn advanced skills, such as style transfer, character poses, and more that you can apply to your projects right away.Heuristic Learning Approach: By starting with practical exercises, you'll build confidence, encounter challenges, and then explore the theoretical aspects to solidify your understanding. This method ensures that you learn deeply and meaningfully.Who Is This Course For?Whether you're a hobbyist looking to explore digital art, a professional seeking to enhance your projects, or a curious learner ready to explore the world of AI, this course is for you!Join me as we embark on this creative journey together. With each Lecture, you'll gain the tools and knowledge to bring your artistic visions to life. Don't wait-let's start generating amazing art with Krita Diffusion AI today!
Who this course is for
Anyone interested in learning AI painting or AI image generation
People aspiring to become AI artists
Homepage

https://www.udemy.com/course/ai-art-made-easy-photoshop-like-magic-for-stable-diffusion/

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Free Download AI Project Management For Engineers & Maintenance Profession
Published 11/2024
MP4 | Video: h264, 1920x1080 | Audio: AAC, 44.1 KHz
Language: English | Size: 1006.08 MB | Duration: 2h 6m
Essential AI Project Management Skills for Engineers, Maintenance Professionals and Plant Managers!"

What you'll learn
Creating a Business Case with Examples of IRR and NPV
Creating a Project Charter with Examples
Create WBS,Activity list and Duration
Stakeholder Management
Risk Management
A RACI Chart
MS Project 30min Essentials Tutorials
Requirements
Industry Experience such as FMCG,Engineering
Description
Requirements:Intermediate experience is necessary as well as some Industry ExperienceAccess to Microsoft Office (Word, PowerPoint, Excel) and MS Projects is required to download and practice with supplemental course materials.Description: Project management is a dynamic profession that allows you to navigate new businesses, processes, systems, and people with each project. This ever-changing environment fosters continuous learning and skill advancement, often beyond what traditional jobs offer.Our program is designed to empower individuals to build project management knowledge and skills, enhancing their confidence in managing projects effectively. This course outlines a shortened 7-step process to ensure your projects succeed-whether you're leading a large organization, advancing your career, or managing personal projects.Course Highlights:Complete a project case study to understand project management from initiation to completion.Grasp fundamental project management theories, apply best practices, and avoid common pitfalls.Utilize essential tools like Gantt charts, Critical Path Method, and receive project management templates.Develop the essential skills needed to be an outstanding Engineer/Project manager.Create vital project management documents using MS ProjectsWhy Choose This Course?Expert Instruction: Led by Collen Ntsoane an Engineer with MBA and Project Management Professional CertifiedAccessible Learning: Ideal for experienced professionals seeking to refresh their knowledge, this course covers all essential concepts and tools.Unique Features:High-definition video production with engaging content.Comprehensive training covering 7 major project management skills.Industry Case StudyWhy Develop Project Management Skills?Gain valuable technical skills that can lead to promotions and higher salaries.Experience variety and growth through daily challenges.With Udemy's 30-day money-back guarantee, you risk nothing. Make a pivotal decision for your career by clicking the 'Buy now' button today!
Overview
Section 1: Introduction
Lecture 1 Introduction to Project Management
Section 2: Initiating the Project and Developing Project Charter
Lecture 2 What is Business Case,IRR and NPV
Lecture 3 Calculating IRR and NPV using Excel
Lecture 4 Project Charter Simplified
Lecture 5 Creating a Project Charter using Open AI
Lecture 6 Creating a Project Charter Using PMI Infinity Tool
Section 3: 5. Developing the Project Management and Execution Plan
Lecture 7 Create WBS
Lecture 8 Creating Activity List and Estimate Duration
Section 4: A RACI Chart
Lecture 9 A RACI Chart
Section 5: Stakeholders Management
Lecture 10 Stakeholder Identification and Engagement Plan
Section 6: Risk Management
Lecture 11 Identify Potential Risks Using SWOT Analysis
Lecture 12 Create a risk log
Lecture 13 Plan Risk Response or Mitigation Strategies
Section 7: MS Projects Quick Start Tutorial
Lecture 14 Copying Activities from Excel
Lecture 15 Setting Up Blank Project
Lecture 16 Summarizing Tasks
Lecture 17 Adding Milestones
Lecture 18 Adding Predecessors
Lecture 19 Creating A Presentable Timeline
Lecture 20 Show Progress Reports
Section 8: You are now a Project Manager
Lecture 21 Celebrate your Achievement
Engineering Managers, Maintenance Managers, Plant Managers,Plant Engineers and Technicians
Homepage

https://www.udemy.com/course/ai-project-management-for-engineers-maintenance-profession/

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Free Download AI Skills - Prompt Engineering, Design Mastery,Research Tools
Published 11/2024
Created by Eloho Titilayo Olonitola
MP4 | Video: h264, 1280x720 | Audio: AAC, 44.1 KHz, 2 Ch
Genre: eLearning | Language: English | Duration: 10 Lectures ( 1h 42m ) | Size: 1 GB

Learn How to Use AI to Enhance Content, Creativity, Research. Navigate the Future of Work with Cutting-Edge AI Solutions
What you'll learn
Understanding Prompt Engineering Basics: Types and techniques for effective prompt crafting to achieve specific outcomes in Artificial Intelligence
Niche-Specific Prompting: Practical applications of prompts across over 10 different niches, learning how to tailor prompts for diverse fields.
Integrating ChatGPT with Canva: How to use Generative AI for enhanced design workflows, including creating custom prompts for design projects.
Generating Media with AI: Techniques to use AI for generating text, images, and videos in creative design projects.
Mastering Image Generation with Prompts: Advanced image-generation techniques using AI, including prompt crafting for various visual outputs.
Exploring Additional AI Tools: A beginner's guide to AI tools for simplified image generation, making it accessible and easy to use.
Document Summarization & Concept Explanation: Using Generative AI to summarize lengthy documents, clarify complex concepts, and extract key information.
Finding Academic Research with AI: Using AI to locate relevant academic research papers, ideal for researchers and students seeking similar studies
Organizing & Writing Documents with AI: Leveraging another AI to read, write, and organize documents efficiently, including automatic citation management.
Master Prompt Engineering for effective AI-driven results across different applications.
Utilize AI in Creative Projects to generate compelling images, videos, and designs.
Leverage Advanced AI Tools to enhance productivity in reading, writing, and researching.
Streamline Research and document organization with innovative, AI-powered solutions.
Requirements
Interest in AI Tools and Applications: A curiosity to learn and use AI-driven tools
No Prior AI Experience Required: This course is designed for beginners, so prior experience with AI or machine learning is not necessary.
Description
Start enjoying the power of AI to transform how you create, research, and communicate with our course: "AI Mastery: Prompt Engineering, Creative Design, and Advanced Research Made Simple." This course is more than just a learning experience-it's a toolkit for using AI to elevate your work across any field. Whether you're a content creator, researcher, entrepreneur, or simply curious about AI, this course delivers practical skills that set you apart.What You'll Gain:From effective prompt engineering to creative design techniques, this course covers all aspects of AI usage. You'll learn how to create targeted AI prompts that streamline your workflow and maximize productivity. Starting with prompt engineering basics, you'll dive into crafting prompts that drive specific results. You'll also explore prompts tailored to various fields-practical, niche-specific knowledge you can put to use immediately.In the design section, your creativity takes the lead. Discover how to use AI-driven design tools to create professional-quality visuals and videos in minutes, allowing you to produce eye-catching content with ease. Whether you're building a brand, managing social media, or just looking to stand out, this section will open doors to unique creative possibilities.Finally, the research section reveals how AI can supercharge your productivity. Learn to summarize long documents, extract key insights, and access a wealth of information in seconds. You'll streamline document management, handle citations, and organize your research with ease, transforming the way you work.By the End of This Course, You'll Be Able To:Master the Art of Prompt Engineering: Craft powerful prompts to get AI working for you, no matter the application.Create Stunning Visuals and Videos Effortlessly: Use AI tools to produce high-quality images, videos, and graphics that captivate and engage.Enhance Research and Document Management: Simplify complex tasks, from document summarization to gathering academic resources in seconds.Maximize Productivity: Gain new efficiencies with AI, freeing up time for innovation and strategic focus.Who This Course is For:This course is designed for content creators, marketers, researchers, educators, business owners, and anyone interested in unlocking the potential of AI. No prior experience is required; every topic is explained clearly, making AI accessible and actionable at any skill level.Why This Course?AI is revolutionizing the way we work, and knowing how to use it effectively gives you a significant edge. This course is packed with expert techniques and real-world applications you can apply immediately, helping you improve your current role, launch new projects, or simply stay ahead of the curve in today's digital landscape.Enroll today and start transforming your productivity, creativity, and research with the power of AI!
Who this course is for
Aspiring Content Creators and Designers: Individuals looking to enhance their content creation abilities using AI tools
Self-Publishers and Authors: Those wanting to improve their productivity in writing, editing, and organizing documents with AI-driven research and prompt engineering techniques.
Researchers and Students: People seeking to simplify the research process, summarize complex information, and discover relevant academic papers efficiently using AI.
Educators and Trainers: Educators looking to explore AI-assisted tools for creating course materials, managing documents, and finding resources for their students.
Entrepreneurs and Solopreneurs: Individuals looking to leverage AI tools to save time, increase productivity, and gain insights for business growth.
Anyone Curious About AI Tools: Anyone who wants to learn about and experiment with accessible AI tools,
Homepage

https://www.udemy.com/course/ai-skills-prompt-engineering-design-masteryresearch-tools/

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Free Download AI-Powered Agile - Strategies for Modern Project Managers
Released 11/2024
With Bob McGannon, Christina Charenkova
MP4 | Video: h264, 1280x720 | Audio: AAC, 44.1 KHz, 2 Ch
Skill level: Intermediate | Genre: eLearning | Language: English + subtitle | Duration: 1h 2m 13s | Size: 173 MB

Upskill as a project manager. Learn how to achieve better outcomes every time by integrating agile and AI on your projects.
Course details
Technology in the age of AI is advancing so quickly it's hard to keep up. That's why incorporating agile methods on a project can be so valuable in all the right ways-helping you deliver better, faster, more effective outcomes and boosting engagement across teams. In this course, instructors Bob McGannon and Christina Charenkova show you how to leverage AI and agile in tandem to address and manage agile delivery, team construction, the agile mindset, organizational structures, and successful organizational change. From requirements gathering, staffing a team, and running retrospectives, to ensuring your team has the right skill sets and collaborative tools, this course is ideal for project managers and team leaders who are interested in learning how to integrate the power of agile and AI, using AI-driven strategies for organizational change management.
Homepage

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Free Download AI-Powered Market Analysis & Strategy for Business Success
Published 10/2024
MP4 | Video: h264, 1920x1080 | Audio: AAC, 44.1 KHz
Language: English | Size: 2.47 GB | Duration: 3h 44m
Use AI to Uncover Trends, Analyze Consumer Behavior, Optimize Campaigns, and Build Competitive Strategies.

What you'll learn
Apply AI tools to market analysis effectively.
Identify market trends with AI-driven insights.
Use NLP for sentiment analysis.
Develop AI-enhanced market segmentation strategies.
Implement dynamic AI-driven pricing models.
Optimize marketing campaigns using AI tools.
Integrate AI in competitive intelligence gathering.
Requirements
Basic knowledge of marketing concepts
Familiarity with data analysis fundamentals
No prior AI experience required
A computer with internet access
Description
Are you ready to transform your market strategy with the power of AI? In this comprehensive course, AI-Powered Market Analysis & Strategy for Business Success, you will explore how artificial intelligence is revolutionizing business strategies and decision-making processes. Whether you're an entrepreneur, marketer, or business strategist, this course provides you with the essential tools and insights to thrive in today's competitive market.This course covers everything from the fundamentals of AI-driven market analysis to advanced techniques for campaign optimization. You'll dive into consumer behavior analysis, competitive intelligence, dynamic pricing models, and market segmentation-all backed by practical AI tools. Gain hands-on experience by working on two detailed projects: Building a market analysis roadmap and creating a product marketing strategy enhanced with AI.In addition to mastering essential skills, you will also address critical ethical concerns such as data privacy, bias, and fairness in AI applications. The course concludes by discussing emerging trends in AI and offers practical tips on integrating AI tools seamlessly into your business strategy.Enroll now and learn how to leverage AI for data-driven insights, design impactful campaigns, and stay ahead of your competitors. Don't miss the chance to develop future-ready market strategies with cutting-edge AI technology! See you soon.
Overview
Section 1: Introduction to AI in Market Analysis
Lecture 1 Understanding AI and its Role in Market Analysis
Lecture 2 Basics of Market Strategy
Lecture 3 Overview of AI Tools and Technologies
Section 2: Data Collection and Preprocessing
Lecture 4 Types of Data Used in Market Analysis
Lecture 5 Data Collection Techniques
Lecture 6 Ethical Considerations in Data Collection
Section 3: Exploratory Data Analysis (EDA)
Lecture 7 Introduction to EDA
Lecture 8 Descriptive Statistics and Visualization
Lecture 9 Identifying Patterns and Trends
Section 4: Sentiment Analysis and Natural Language Processing (NLP) in Market Analysis
Lecture 10 Tools and Techniques for Sentiment Analysis
Lecture 11 Analyzing Social Media and Customer Reviews
Lecture 12 NLP for Market Trend Identification
Section 5: Consumer Behavior Analysis
Lecture 13 Understanding Consumer Behavior
Lecture 14 AI Techniques for Consumer Insight
Lecture 15 Case Studies in Consumer Behavior Analysis
Section 6: Market Segmentation and Targeting
Lecture 16 Basics of Market Segmentation
Lecture 17 AI Techniques for Market Segmentation
Lecture 18 Developing Targeted Marketing Strategies
Section 7: Competitive Analysis with AI
Lecture 19 Importance of Competitive Analysis
Lecture 20 AI Tools for Competitive Intelligence
Lecture 21 Case Studies in AI-driven Competitive Analysis
Section 8: AI in Pricing Strategy
Lecture 22 Introduction to Pricing Strategies
Lecture 23 Dynamic Pricing Models
Lecture 24 Case Studies in AI-driven Pricing
Section 9: AI for Marketing Campaign Optimization
Lecture 25 Basics of Marketing Campaigns
Lecture 26 Integrating AI in Marketing Campaign Optimization
Lecture 27 AI Tools and Technologies for Campaign Management
Lecture 28 Real-Time Bidding and AI in Ad Tech
Section 10: Project 1 - Building an AI-driven Market Analysis Roadmap
Lecture 29 Scope and Purpose of the Market Analysis
Lecture 30 Phase 1: Data Collection and Integration
Lecture 31 Phase 2: Applying AI for Analytical Insights
Lecture 32 Phase 3: Strategic Decision-Making
Section 11: Project 2 - Developing an AI-enhanced Product Marketing Strategy
Lecture 33 Product Marketing Basics and Objectives
Lecture 34 Phase 1: Market Research and Consumer Analysis
Lecture 35 Phase 2: Strategy Formulation and Campaign Planning
Section 12: Ethical Considerations in AI-driven Market Analysis
Lecture 36 Importance of Ethics in AI
Lecture 37 Data Privacy and Security
Lecture 38 Fairness and Bias in AI
Section 13: Future Trends in AI and Market Analysis
Lecture 39 Emerging AI Technologies
Lecture 40 AI and the Future of Marketing
Lecture 41 Skills and Knowledge for the Future
Section 14: Integrating AI into Business Strategy
Lecture 42 Leveraging Predictive Analytics for Market Forecasts
Lecture 43 Implementation Challenges and Solutions
Lecture 44 AI Applications in Supply Chain Management
Section 15: Course Review and Next Steps
Lecture 45 Updated Knowledge and Documentation
Lecture 46 Conclusion
Entrepreneurs looking to leverage AI in business,Marketing professionals seeking advanced tools,Data analysts exploring AI applications,Business strategists refining market insights,Students interested in AI-driven marketing,Product managers optimizing market strategies
Homepage

https://www.udemy.com/course/ai-powered-market-analysis-strategy-for-business-success/

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Free Download AIOps Mastery - Reducing Log Costs and Optimizing Operations
Published 11/2024
Created by Jonathan Dias Baraldi
MP4 | Video: h264, 1280x720 | Audio: AAC, 44.1 KHz, 2 Ch
Genre: eLearning | Language: English | Duration: 14 Lectures ( 1h 43m ) | Size: 1.83 GB

Master AIOps with GenAI: Optimize system logs, reduce costs, and enhance IT operations through AI-driven insights.
What you'll learn
Master AIOps concepts and set up infrastructure for efficient log analysis using Kubernetes, ElasticSearch, and Kibana
Deploy and configure GenAI models (Ollama, Llama3) for real-time insights into system logs and automated anomaly detection.
Implement AIOps applications with automated alerts, monitoring costs, and optimizing performance through AI-driven solutions.
Gain practical skills in reducing log storage costs, monitoring alerts in Discord, and continuously improving IT operations.
Requirements
Basic Knowledge of Kubernetes and Docker - Familiarity with containerized applications and deployments is essential.
Understanding of Linux Commands - Ability to navigate and manage Linux environments for setting up the infrastructure.
Experience with DevOps Tools - Some hands-on experience with CI/CD pipelines, monitoring tools, or DevOps processes will be beneficial.
Access to 3 Virtual Machines and 1 DNS - You'll need: • 3 machines to set up the Kubernetes cluster and infrastructure services. • 1 DNS to facilitate communication between services in the environment.
Basic Knowledge of Networking - Understanding of DNS configuration and IP management is helpful for setting up the environment.
Description
Here's a compelling course description that highlights each section's value and engages potential students:Unlock the power of AIOps with this comprehensive course on AI-driven log optimization and cost reduction! This course is designed to take you step-by-step through the core concepts of AIOps, infrastructure setup, and practical deployments with GenAI and large language models (LLMs) to automate, monitor, and optimize system logs. Perfect for IT professionals, DevOps engineers, and anyone eager to leverage AI in operations, this course will transform your approach to managing IT costs and efficiency.What You'll Learn:Start with a solid foundation, exploring the fundamentals of AIOps and the infrastructure needed to support advanced AI analysis. Gain hands-on experience with Rancher and Kubernetes deployments, configuring Longhorn for persistent storage and DNS settings, before diving into ElasticSearch and Kibana setups to enable robust log monitoring and visualization.Learn to deploy GenAI models such as Ollama and Llama3, empowering you to test and utilize these powerful tools in real-time analysis. By the end of the course, you'll implement a full AIOps application, configuring automated alerts with Kibana Watcher and integrating alert tracking on Discord for continuous oversight.Whether you're an experienced DevOps engineer or exploring AIOps for the first time, this course offers the insights, tools, and practical skills to revolutionize your operations, reduce log costs, and stay ahead in the world of IT innovation. Join now to start mastering AIOps with GenAI!
Who this course is for
Ideal for DevOps engineers eager to integrate AI into their workflows and reduce operational costs through AIOps and advanced log analysis.
Designed for IT professionals looking to master AIOps tools like GenAI, Kubernetes, and ElasticSearch for optimized log management.
Perfect for those with basic DevOps skills who want to dive deeper into AIOps automation, monitoring, and cost efficiency with real-world applications.
For tech enthusiasts ready to explore AI-powered monitoring, log optimization, and automated alerts to enhance IT infrastructure management.
Homepage

https://www.udemy.com/course/aiops-mastery-reducing-log-costs-and-optimizing-operations/

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Free Download AWS Certified AI Practitioner (AIF-C01) - Fundamentals of Generative AI
Released 11/2024
By Michael Cassidy
MP4 | Video: h264, 1280x720 | Audio: AAC, 44.1 KHz, 2 Ch
Level: Intermediate | Genre: eLearning | Language: English + subtitle | Duration: 56m | Size: 133 MB

This course will teach you the fundamentals of generative AI, including key concepts, use cases, and AWS services relevant to generative AI, helping you understand what you need to know to succeed on the AWS exam.
In this course, AWS Certified AI Practitioner (AIF-C01): Fundamentals of Generative AI, you'll learn to understand the core concepts of generative AI and prepare for the AWS exam. First, you'll explore foundational topics like tokens, embeddings, transformers, and the lifecycle of generative AI models. Next, you'll discover how generative AI can be applied to real-world use cases and understand its capabilities and limitations in various business contexts. Finally, you'll delve into AWS services, such as Amazon SageMaker JumpStart and Amazon Bedrock, to learn how AWS supports generative AI applications with its robust infrastructure. When you're finished with this course, you'll have the skills and knowledge to confidently approach the AWS exam, understanding both the theoretical and practical aspects of generative AI in the AWS ecosystem.
Homepage

https://app.pluralsight.com/library/courses/aws-certified-ai-practitioner-generative-ai-fundamentals/table-of-contents

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Free Download AWS Certified AI Practitioner (AIF-C01) Fundamentals of AI and ML
Released 11/2024
By Noreen Hasan
MP4 | Video: h264, 1280x720 | Audio: AAC, 44.1 KHz, 2 Ch
Level: Intermediate | Genre: eLearning | Language: English + subtitle | Duration: 2h 4m | Size: 393 MB

This course will teach you the fundamentals of AI and ML, including key concepts, use cases, and AWS-managed AI and ML services, to understand what you need to know to succeed on the AWS Certified AI Practitioner exam
AI and ML are two of the most transformative technologies driving innovation today. In this course, AWS Certified AI Practitioner (AIF-C01): Fundamentals of AI and ML, you'll learn to understand the core concepts needed for the first domain of the AWS AIP exam. First, you'll explore foundational topics like deep learning, neural networks, natural language processing (NLP), training and inferencing, bias, fairness, and large language models (LLM). Next, you'll explore how all these concepts fit within the ML pipeline. Finally, you'll delve into AWS services, such as Amazon Rekognition, Amazon Textrack, Amazon Comprehend, and Amazon SageMaker, to learn how AWS offers managed AI and ML services. When you're finished with this course, you'll have the skills and knowledge needed to confidently approach the first domain of the AWS exam, understanding both the theoretical and practical aspects of AL and ML in the AWS ecosystem.
Homepage

https://app.pluralsight.com/library/courses/aws-certified-ai-practitioner-ai-ml-fundamentals/table-of-contents

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Free Download AWS Certified Security Specialty 2024 [NEW]
Last updated 5/2024
Created by Zeal Vora
MP4 | Video: h264, 1280x720 | Audio: AAC, 44.1 KHz, 2 Ch
Genre: eLearning | Language: English + subtitle | Duration: 342 Lectures ( 38h 0m ) | Size: 14 GB

All-In-One Course to CLEAR the AWS Certified Security Specialty certification (SCS-C02)
What you'll learn
PASS the AWS Certified Security Specialty certification (SCS-C02)
ALL 1000+ Slides available to download.
Gain DEEP insights about Enterprise grade Security implementation.
DETECT attacks and PROTECT the AWS infrastructure from Hackers.
Requirements
Basics of AWS
AWS Solutions Architect Associate or Equivalent Knowledge
Description
AWS Certified Security - Specialty certification is one of the widely recognized security certifications across the industry. With the number of security breaches increasing every year, there is a huge demand for individuals who understands the security side of things, specifically Cloud-based Infrastructures.This course is specially designed for the aspirants who intend to give the AWS Certified Security Specialty 2023 certification as well for those who want to master the security side of AWS.Throughout the course, we explore various Real World scenarios and look into why do website gets hacked, what could have been done to prevent it, and learn the best practices related to Security for your AWS environment.Since this is a Specialty level certification, it is very important that the candidate has a prior hands-on experience in AWS, and this also acts as a pre-requisite to this certification. We do start our journey into the security side of things from scratch.With tons of quizzes in order to prepare you for exams, Real-world scenarios, and great Support from our Instructor in-case of doubts, this course is all you need to master the Security side of AWS and gain the certification.I look forward to seeing you join us in this exciting journey on AWS Security.
Who this course is for
Those interested in gaining the AWS Security Specialty Certification
Those who wants to gain deep security insights related to AWS
Homepage

https://www.udemy.com/course/aws-certified-security-specialty/

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Free Download AWS Certified Solutions Architect - Associate (SAA-C03) Storage, Databases, Machine Learning, and Big Data Analytics
Released 11/2024
By Andru Estes
MP4 | Video: h264, 1280x720 | Audio: AAC, 44.1 KHz, 2 Ch
Level: Intermediate | Genre: eLearning | Language: English + subtitle | Duration: 8h 17m | Size: 1.5 GB

This course focuses on storage, databases, machine learning, and big data analytics in AWS, developing your skills and providing you with everything you need to apply your knowledge to the AWS Certified Solutions - Architect exam.
Becoming an AWS Solutions Architect requires extensive knowledge of the entire AWS ecosystem, and an in-depth understanding of many storage, database, machine learning, and analytics services. In this course, AWS Certified Solutions Architect - Associate (SAA-C03): Storage, Databases, Machine Learning, and Big Data Analytics, you'll learn to leverage many of these services within AWS. First, you'll explore when to use the appropriate database technologies for your workloads. Next, you'll discover how to leverage several of the machine learning and big data services for different scenarios. Finally, you'll learn how to implement different services for migrations and analytics. When you're finished with this course, you'll have the skills and knowledge of AWS Solutions Architecture needed to pass exam objectives covering these different AWS services, as well as successfully implement them into real-world designs.
Homepage

https://www.pluralsight.com/courses/aws-saa-c03-certified-solutions-architect-associate-storage-databases-ml-big-data-analysis

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Free Download AWS DevOps Mastery: SDLC| Cloud Formation| Fault Tolerance
Published 11/2024
Created by EDUCBA Bridging the Gap
MP4 | Video: h264, 1280x720 | Audio: AAC, 44.1 KHz, 2 Ch
Genre: eLearning | Language: English | Duration: 21 Lectures ( 4h 12m ) | Size: 1.83 GB

Accelerate your DevOps journey with automating the SDLC, mastering CloudFormation, ensuring fault tolerance in cloud.
What you'll learn
Automate repetitive tasks to speed up software development and deployment.
Master cloud infrastructure management with hands-on labs using AWS services.
Gain confidence in setting up CI/CD pipelines to streamline project workflows.
Ensure high availability and system reliability with fault-tolerant cloud solutions.
Develop skills in Infrastructure as Code (IaC) to efficiently manage cloud environments.
This course equips you with essential DevOps skills that are highly sought after in the industry
Preparing you to excel in roles like DevOps Engineer, Cloud Architect, or Site Reliability Engineer (SRE).
Requirements
Basic Programming Knowledge: Familiarity with at least one programming or scripting language (such as Python, JavaScript, or Bash) is helpful but not mandatory.
Understanding of Cloud Computing Concepts: A basic understanding of cloud services and infrastructure (e.g., what cloud providers like AWS offer) will be beneficial.
Familiarity with Version Control Systems: Basic knowledge of version control systems like Git, including cloning repositories and committing changes, is recommended.
Basic Networking and OS Skills: Understanding of networking fundamentals (e.g., IP addresses, subnets) and basic Linux/Unix commands will be advantageous.
Description
This course is designed to transform your understanding of DevOps principles, focusing on automating Software Development Life Cycle (SDLC) processes, leveraging AWS CloudFormation for infrastructure as code, and implementing fault tolerance and disaster recovery strategies. Through practical demonstrations and hands-on labs, you'll gain the skills needed to automate deployments, optimize cloud infrastructure, and ensure high availability and resilience in your applications.Section 1: SDLC AutomationThis section covers the end-to-end automation of the Software Development Life Cycle (SDLC), enabling faster and more efficient software delivery.Lecture 1: SDLC Automation (Preview enabled)Dive into the world of SDLC automation, understanding its benefits in the DevOps workflow and exploring key tools and techniques.Lecture 2: CodePipelineLearn how to set up and manage AWS CodePipeline, a powerful continuous integration and continuous delivery (CI/CD) service that automates your build, test, and deploy processes.Lecture 3: Creating New Repository (Preview enabled)Understand how to create new repositories in AWS, laying the foundation for version control and collaborative development.Lecture 4: CloningMaster the process of cloning repositories, allowing you to work on multiple projects seamlessly.Lecture 5: CodeDeployDiscover the capabilities of AWS CodeDeploy for automating application deployments to Amazon EC2, on-premises systems, or serverless Lambda functions.Lecture 6: Creating New KeypairSecure your deployments by creating and managing new key pairs, which are essential for SSH access to your instances.Lecture 7: Creating Deployment GroupSet up deployment groups to organize your applications, streamline rollouts, and minimize deployment downtime.Section 2: Mastering CloudFormationIn this section, you will learn how to utilize AWS CloudFormation to automate the setup of your cloud infrastructure.Lecture 8: Management and Infrastructure as CodeExplore the concept of Infrastructure as Code (IaC) with CloudFormation, enabling you to manage your cloud resources in a systematic, scalable, and automated manner.Lecture 9: Creating a CloudFormation StackLearn step-by-step how to create a CloudFormation stack, automating the provisioning of your AWS resources.Lecture 10: How to Use a CloudFormationDiscover best practices for using CloudFormation templates to define and deploy infrastructure efficiently.Lecture 11: Load BalancerImplement load balancers using CloudFormation to ensure your applications can handle high traffic with ease.Lecture 12: Update a CloudFormation StackMaster the process of updating existing CloudFormation stacks, managing changes to your cloud infrastructure effortlessly.Lecture 13: Deploying the Lambda FunctionAutomate serverless deployments by using CloudFormation to deploy Lambda functions for scalable, event-driven applications.Section 3: Fault Tolerance and Disaster RecoveryThis final section focuses on ensuring high availability, monitoring, and disaster recovery in cloud environments.Lecture 14: Monitoring and LoggingDelve into AWS monitoring and logging best practices, learning how to set up CloudWatch for real-time insights into your infrastructure.Lecture 15: Creating a Metric Filter for Log Group in CloudWatchEnhance your cloud monitoring by creating metric filters for specific log data, allowing for proactive alerting and response.Lecture 16: Getting the Created CloudWatch AlarmLearn how to retrieve and manage CloudWatch alarms to stay ahead of potential issues.Lecture 17: Adding a Lambda Function LogExtend your monitoring capabilities by integrating Lambda function logs with CloudWatch, enabling detailed analysis of serverless applications.Lecture 18: DomainsExplore the configuration and management of custom domains within your cloud infrastructure for better accessibility and branding.Lecture 19: Create a Subnet for the RDSUnderstand how to create subnets for Amazon RDS, ensuring secure and efficient database deployments.Lecture 20: Create and Add EC2 ActionAutomate actions on your EC2 instances, such as scaling or restarting, based on predefined metrics and alarms.Lecture 21: Configure the CloudWatch AlarmFinalize your monitoring setup by configuring CloudWatch alarms that trigger automated actions, providing robust fault tolerance and disaster recovery.Course Outcome:By the end of this course, you will have a solid understanding of how to automate the SDLC, manage cloud infrastructure using AWS CloudFormation, and implement fault-tolerant solutions. You'll be able to deploy code faster, ensure high availability, and maintain resilience in your cloud environments, making you an invaluable asset in any DevOps team.Target Audience:This course is perfect for IT professionals, developers, cloud engineers, and anyone looking to deepen their DevOps skills, particularly in the areas of automation, cloud infrastructure, and fault tolerance. Whether you're new to DevOps or seeking to advance your existing knowledge, this course will empower you to optimize your software delivery and cloud management processes.
Who this course is for
Aspiring DevOps Engineers: If you're looking to break into the DevOps field, this course provides hands-on training in SDLC automation, cloud infrastructure, and deployment strategies using tools like AWS CodePipeline, CloudFormation, and more.
Cloud Enthusiasts & System Administrators: Those familiar with cloud environments (especially AWS) who want to automate infrastructure management, improve deployment efficiency, and enhance fault tolerance.
Software Developers: Developers looking to expand their skill set by integrating DevOps practices into their workflow to streamline application development, deployment, and monitoring.
IT Professionals & Network Engineers: Individuals aiming to transition into roles that require a deep understanding of cloud automation, disaster recovery, and scalable infrastructure management.
Project Managers & Tech Leads: Those responsible for overseeing software projects who want to understand the benefits of infrastructure as code, CI/CD pipelines, and automated monitoring to improve team productivity.
Students & Recent Graduates: Ideal for tech students or recent graduates aiming to add cloud automation and DevOps tools to their portfolio, making them more competitive in the job market.
Homepage

https://www.udemy.com/course/aws-devops-mastery-sdlc-cloud-formation-fault-tolerance/

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Free Download AWS Infrastructure Automation with Terraform
Last updated 10/2024
MP4 | Video: h264, 1280x720 | Audio: AAC, 44.1 KHz, 2 Ch
Language: English | Duration: 37m | Size: 314 MB
Learn to use instances on AWS using terraform with security groups, vpc, and subnets.

What you'll learn
Learn basic terraform
Learn basic aws vpc networking
Learn to automate Ec2 instance creation
Learn to automate security groups, vpc creation
Requirements
No terraform knowledge required
Description
This course teaches you on how to use Terraform to create any number of instances on AWS. Cloud engineers or Devops can use terraform to automate instance creation. This course show the process live, also it will show how to do it with security groups, VPC and subnets. I will show you the complete process and also include the code with this course.Students should have access to an AWS account, or you cannot follow this course. Having a bit of knowledge in AWS dashboard will help, if you have no knowledge of AWS, you may find it a bit difficult to grasp the concepts.This is really short course, and will only use basic terraform commands to create and destroy instances with a virtual private network. So i dont assume you know terraform and i wont teach you advanced terraform commands. Also for any doubts and suggestion please contact me and i will be glad to answer your questions.Also please do not forget give a review for my course as i am new here and it will motivate me to create more course like this.Alright, let's enroll for this course and gain this awesome knowledge.ThanksRabbani
Who this course is for
Devops who wants to automate AWS instances with terraform
Homepage

https://www.udemy.com/course/aws-infrastructure-automation-with-terraform/

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Free Download AWS IoT and Raspberry Pi for Smart IoT Solutions
Published 11/2024
Created by EDUCBA Bridging the Gap
MP4 | Video: h264, 1280x720 | Audio: AAC, 44.1 KHz, 2 Ch
Genre: eLearning | Language: English | Duration: 61 Lectures ( 5h 44m ) | Size: 2.31 GB

Unlock the full potential of IoT with AWS and Raspberry Pi-build smart, connected systems from scratch!
What you'll learn
Introduction to IoT and AWS IoT Services: Understand the fundamentals of IoT, AWS IoT Core, and the key components needed to build connected solutions.
Setting Up IoT Infrastructure: Learn how to create and configure AWS IoT accounts, connect devices securely using protocols like MQTT and HTTP.
Programming with MQTT: Master MQTT protocol for real-time data transmission, write Python programs for IoT applications, and enable seamless communication.
Hands-on Raspberry Pi Projects: Get hands-on experience with Raspberry Pi, learning to set up, program, and control IoT hardware like LEDs, sensors, and more.
Cloud Integration with AWS IoT: Discover how to integrate Raspberry Pi with AWS IoT services, set up IoT 'Things', manage certificates.
Building Smart IoT Solutions: Gain practical experience by creating a real-world Smart Parking System using Raspberry Pi, AWS IoT, and sensor technologies.
Data Insights and Batch Processing: Explore techniques for analyzing IoT data, batch processing for large-scale IoT deployments, and visualizing real-time data.
Advanced IoT Programming: Dive deeper into IoT programming by implementing advanced Python scripts for sensor data handling, device management.
Requirements
Basic Understanding of Networking: Knowledge of networking concepts such as IP addresses, protocols (HTTP, TCP/IP, MQTT), and secure communication (TLS/SSL) will be helpful, but not essential.
Basic Programming Knowledge: A foundational understanding of programming concepts, preferably in Python, will be beneficial for programming Raspberry Pi and IoT devices.
Familiarity with Cloud Computing Concepts: Basic knowledge of cloud computing principles, especially cloud services such as AWS, will assist students in understanding AWS IoT Core and related cloud components.
Hardware (Raspberry Pi): Students will need access to a Raspberry Pi (preferably Raspberry Pi 3 or later), including accessories such as power supply, SD card, display, and internet connectivity.
AWS Account: An active AWS account is required to access AWS IoT services. AWS offers a free tier, but students may need to provide billing information for certain services beyond the free usage.
Description
In a world where everything is becoming connected, the Internet of Things (IoT) is driving innovation across industries. This comprehensive course, Mastering AWS IoT and Raspberry Pi for Smart IoT Solutions, is designed to help you become proficient in building and managing IoT systems using AWS IoT services and Raspberry Pi. You'll learn how to connect, manage, and analyze your IoT devices, enabling you to create smart solutions for real-world applications like industrial automation and smart parking systems. Whether you're a developer, engineer, or tech enthusiast, this hands-on course will equip you with the skills to excel in the IoT landscape.Section-wise Writeup:Section 1: IntroductionThis section provides an overview of the course, starting with an introduction to AWS IoT. You'll understand the basics of how AWS IoT enables secure, scalable, and cost-effective solutions for IoT applications. The lecture lays the groundwork for the exciting journey into IoT integration and automation.Section 2: Getting Started with AWS IoTDive into the fundamentals of Industrial IoT, exploring key concepts like design tenets, communication protocols (TCP, UDP), and security standards (TLS, SSL). You'll also learn about Quality of Service (QoS) levels for IoT data transmission. By the end of this section, you'll set up your AWS account and create your first AWS IoT account, ready to implement IoT rule actions.Section 3: MQTT Introduction and ProgrammingIn this section, you'll explore the widely-used MQTT protocol, focusing on its comparison with HTTP for IoT applications. You'll learn to set up MQTT in Python, using the Paho MQTT library. The lectures guide you through hands-on programming to enable seamless communication between mobile devices and PCs, making you proficient in real-time data transfer.Section 4: Raspberry Pi Programming EssentialsRaspberry Pi is a cornerstone of IoT projects. This section introduces you to Raspberry Pi programming, starting from installation to hardware connections. You'll work with GPIO pins to control LEDs, create basic circuits, and even turn your smartphone into a controller for IoT devices, using simple Python scripts to blink LEDs remotely.Section 5: Raspberry Pi for IoT PublishingLearn to transform your Raspberry Pi into an IoT data Publisher. You'll install the Mosquitto MQTT broker, configure your Raspberry Pi as a broker, and write sensor programs to collect data. This section focuses on practical implementation, where you'll execute sensor programs and visualize data outputs on your mobile devices.Section 6: Integrating Raspberry Pi with AWS IoTThis section is all about connecting your Raspberry Pi projects to the AWS IoT cloud. You'll go step-by-step through the process of setting up AWS IoT 'Things', creating certificates, and attaching policies. The integration lectures include Python programming for AWS IoT, enabling secure communication between your Raspberry Pi and the cloud for real-time IoT applications.Section 7: Smart Parking System Project - Concept and DesignStep into the world of smart city solutions with a hands-on Smart Parking System project. You'll explore the project concept, design tenets, and Raspberry Pi communication protocols. By leveraging proximity sensors, you'll build a system that detects vehicle presence and communicates data to AWS IoT for monitoring and automation.Section 8: Smart Parking System Project - Implementation and ExecutionThe final section focuses on executing your Smart Parking System project. You'll set up AWS IoT rules, program local alarms, and develop a complete IoT solution that notifies users of parking availability. The hands-on exercises will solidify your understanding of integrating hardware, software, and cloud services to build scalable IoT systems.Course Conclusion:By the end of this course, you'll have gained a deep understanding of AWS IoT and Raspberry Pi, empowering you to build, connect, and manage IoT systems effectively. Whether you aim to innovate in smart cities, industrial IoT, or home automation, this course provides you with the practical skills and confidence to excel in the IoT domain. Get ready to transform your IoT ideas into reality with AWS IoT and Raspberry Pi!
Who this course is for
Aspiring IoT Developers: Individuals who want to build practical skills in creating and deploying IoT solutions using AWS IoT Core and Raspberry Pi. Whether you're just getting started or have some experience, this course will guide you through the essentials of IoT device programming and cloud integration.
Software Engineers and Developers: Software professionals looking to expand their skill set into the world of IoT and cloud computing. If you're already comfortable with programming and want to work with connected devices and cloud services, this course will help you transition into IoT development.
Cloud Enthusiasts: Individuals who want to learn how to utilize AWS IoT services to create cloud-based IoT solutions. Whether you're a developer, architect, or cloud enthusiast, this course offers hands-on experience with AWS tools used for IoT management.
Students and Recent Graduates: Students in computer science, electronics, or related fields who are eager to learn how to integrate hardware and cloud services to develop real-world IoT solutions. This course offers practical experience that can be a valuable addition to your academic knowledge.
Tech Enthusiasts and Hobbyists: People passionate about technology and IoT who want to work on practical projects like smart devices, automation systems, and connected solutions. If you enjoy building and experimenting with hardware and software, this course will equip you with the tools to bring your ideas to life.
Homepage

https://www.udemy.com/course/aws-iot-and-raspberry-pi-for-smart-iot-solutions/

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Free Download AWS Machine Learning From Basics To Hands-On Projects
Published 11/2024
MP4 | Video: h264, 1920x1080 | Audio: AAC, 44.1 KHz
Language: English | Size: 1.14 GB | Duration: 2h 21m
Master AWS Machine Learning with comprehensive lessons and hands-on projects to transform data into actionable insights.

What you'll learn
Introduction to AWS Machine Learning: Understand the fundamentals of AWS Machine Learning and its key features.
Data Sourcing and Preparation: Learn the lifecycle of AML, from data ingestion to model deployment.
Managing Data Quality and Variables: Address data quality issues, including handling invalid values.
Hands-On Data Insights: Engage in practical exercises to create and manage data sources.
Building and Evaluating ML Models: Develop and fine-tune machine learning models using AWS's advanced settings.
End-to-End ML Project Management: Master the creation, management, and evaluation of ML objects in AWS.
Requirements
Basic Knowledge of AWS Services: Familiarity with core AWS services like S3, EC2, and IAM will be beneficial.
Foundational Programming Skills: Basic knowledge of Python is recommended, as it will be used for scripting and model management.
Interest in Machine Learning: No prior experience in machine learning is required, but an enthusiasm for learning how to build ML models will enhance your experience.
Description
In the era of data-driven decision-making, mastering machine learning is a valuable skill. The AWS Machine Learning Mastery: From Basics to Hands-On Projects course is designed to take you from the fundamentals of AWS Machine Learning (AML) to practical applications. Whether you are new to the field or looking to deepen your knowledge, this course offers a structured and engaging approach to mastering AWS's machine learning services. Through step-by-step guidance, real-world examples, and hands-on exercises, you will gain the skills needed to implement powerful ML models using AWS.Section-wise Writeup:Section 1: IntroductionThis section lays the foundation by introducing you to AWS Machine Learning (AML). We begin with an overview of the platform, its capabilities, and how it integrates with other AWS services. You'll learn about the key features of AWS Machine Learning and how it simplifies the process of building, training, and deploying machine learning models. By the end of this section, you'll have a clear understanding of AML's role in modern data science.Section 2: DatasourceIn this section, we dive into the critical aspect of data sourcing, which forms the backbone of any machine learning project. We start with the Lifecycle of AML, exploring the journey from data preparation to model deployment. You'll learn how to connect to various data sources, including S3 buckets, databases, and on-premises systems. Additionally, you'll discover how to create robust data schemes within AML, setting the stage for effective model training. This section ensures you are equipped to handle the complexities of data integration in AWS.Section 3: ValueThis section focuses on the value aspect of machine learning models. We address how to manage invalid values in datasets and set up variable targets for accurate predictions. You'll gain insights into the different types of ML models available in AML and how to select the best fit for your project needs. We also cover managing machine learning objects, such as datasets, models, and batch predictions, providing a comprehensive understanding of AML's functionalities.Section 4: Datasource Hands-OnLearning by doing is crucial for mastering new skills, which is why this section emphasizes practical application. You'll engage in hands-on exercises, starting with creating data sources in AML. This includes a step-by-step walkthrough on setting up and managing data sources, followed by deeper dives into extracting insights from your datasets. By the end of this section, you'll be proficient in leveraging AWS's tools to analyze and interpret data, turning raw information into actionable insights.Section 5: ML Model Hands-OnThe final section brings everything together by guiding you through the process of building, evaluating, and deploying machine learning models. You'll explore real-world examples, create ML models, and learn how to fine-tune them using advanced settings. We also cover batch predictions, enabling you to automate the process of generating predictions for large datasets. The hands-on sessions culminate in a comprehensive overview of managing ML objects in AML, ensuring you are ready to implement these techniques in practical scenarios.Conclusion:By the end of the AWS Machine Learning Mastery: From Basics to Hands-On Projects course, you will have gained a robust understanding of AWS Machine Learning. You'll be proficient in sourcing, preparing, and analyzing data, as well as building and deploying machine learning models on AWS. This course is designed to provide you with practical skills that can be directly applied in real-world scenarios, making you a valuable asset in any data-driven organization. Whether you are looking to advance your career, transition into a new role, or simply expand your knowledge, this course provides the tools and confidence needed to succeed in the dynamic field of machine learning.
Overview
Section 1: Introduction
Lecture 1 Introduction to AWS Machine Learning (AML)
Section 2: Datasource
Lecture 2 Lifecycle of AML
Lecture 3 Connecting to Data Source in AML
Lecture 4 Creating Data Scheme in AML
Section 3: Value
Lecture 5 Invaild Value and Varible Target in AML
Lecture 6 ML Models in AML
Lecture 7 Manging ML Object in AML
Section 4: Datasource Handson
Lecture 8 Creating DataSource Handson
Lecture 9 Creating DataSource Handson Continues
Lecture 10 Example of Data Insight In AML
Lecture 11 More on Data Insight In AML
Section 5: ML Model Handson
Lecture 12 ML Model Example in Data Sources
Lecture 13 Creating ML Model Evaluating
Lecture 14 Advanced Setting In ML Model
Lecture 15 Creating ML Model for Batch Prediction
Lecture 16 Batch Prediction Result
Lecture 17 Overvies of ML Model Handson
Lecture 18 ML objects Handson in ML
Aspiring Data Scientists & Machine Learning Engineers: Individuals looking to break into the field of data science and machine learning, especially those interested in leveraging AWS's powerful ML services.,Developers & Software Engineers: Developers who wish to expand their skill set by integrating machine learning capabilities into their applications.,Data Analysts & BI Professionals: Analysts aiming to enhance their data insights using predictive modeling and machine learning.,AWS Enthusiasts & Cloud Practitioners: Individuals who are already familiar with AWS services and want to explore its machine learning capabilities.,Tech Managers & Project Leads: IT managers and project leads looking to understand the potential of AWS Machine Learning for strategic decision-making.,Students & Academics: University students, researchers, and educators who want to apply AWS ML tools in academic projects or research.
Homepage

https://www.udemy.com/course/aws-machine-learning-from-basics-to-hands-on-projects/

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Free Download Accelerate SAP S/4HANA Transformation with Signavio
Published 11/2024
Created by Zaran Tech
MP4 | Video: h264, 1280x720 | Audio: AAC, 44.1 KHz, 2 Ch
Genre: eLearning | Language: English | Duration: 8 Lectures ( 4h 49m ) | Size: 2.2 GB

Master SAP S/4HANA Transformation: Optimize Business Processes with Signavio's Tools and Techniques
What you'll learn
Understand S/4HANA benefits and transformation challenges
Explore Signavio Process Transformation Suite
Master Process Explorer for current process analysis
Learn the structured process for S/4HANA transition
Understand key components and benefits
How to connect Signavio to SAP ERP & CRM systems (Service Now, Sucessfactors etc)
Requirements
Basic understanding of SAP systems and business processes
Familiarity with process management concepts is beneficial but not required
Basic understanding of SAP S/4HANA and its core functionalities
Foundational knowledge of Business Process Management (BPM) concepts
Basic understanding of Signavio Process Manager and its components
Description
The course "Accelerate SAP S/4HANA Transformation with Signavio," is designed for professionals aiming to master the end-to-end process optimization crucial for successful SAP S/4HANA transformations. As enterprises worldwide adopt SAP S/4HANA, the demand for consultants proficient in both S/4HANA and Signavio's process management tools has grown significantly. This course provides hands-on training, expert insights, and a structured curriculum that simplifies the complexities of SAP S/4HANA transformation projects, making it accessible even to those with limited prior experience.Throughout the course, participants will explore and utilize the full suite of Signavio tools, including Process Explorer, Process Intelligence, and the SAP Customer Evolution Kit. Course covers foundational knowledge on SAP S/4HANA and Signavio, exploring deployment models, best practices, and initial process mapping and optimization techniques. And later we dive deeper into practical applications, showcasing data analytics, integration techniques, and hands-on exercises with real-world scenarios. By the end of this workshop, attendees will be equipped to apply process mining, identify bottlenecks, and enhance cross-functional collaboration for streamlined transformations.Led by a certified instructor with over a decade of experience in process excellence, this course provides practical skills backed by real industry applications. Participants will receive a certificate of completion and have the opportunity to network within a growing community of SAP S/4HANA and Signavio professionals.
Who this course is for
SAP Consultants and Implementation Specialists
Business Process Analysts and Managers
IT Professionals involved in S/4HANA transformation projects
Change Management Professionals
Business Stakeholders in S/4HANA initiatives
Continuous Improvement Specialists
Homepage

https://www.udemy.com/course/accelerate-sap-s4hana-transformation-with-signavio/

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