Generative AI Essentials - Practical Use Cases

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Yogesh Raheja,Thinknyx Technologies,Dheeraj Sain

4:01:02

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1 - Getting Started with GenAI Essentials

1 - Course Introduction.mp4

04:17

2 - Course Handbook Generative AI Essentials Practical Use Cases.html

2 - Thinknyx-GenAI-Essentials.pdf

3 - Understanding AI Branches.mp4

11:18

4 - Introduction to Generative AI GenAI and its Evolution.mp4

08:57

5 - Application Field Trends of GenAI.mp4

07:46

6 - Checkout AI Ecosystem for the Absolute Beginners Course.html

7 - Optional AI Ecosystem Layers.mp4

06:14

2 - GenAI Terminologies

8 - Generative Adversarial Networks GANs.mp4

05:34

9 - Variational AutoEncoder VAEs.mp4

04:29

10 - Foundational Models FMs.mp4

05:12

11 - Large Language Models LLMs.mp4

06:00

12 - Retrieval Augmented Generation RAG.mp4

04:20

13 - Demo GenAI Toolset.mp4

06:54

3 - Prompt Engineering

14 - What is Prompt Engineering.mp4

06:16

15 - Prompt Anatomy and Best Practices.mp4

04:42

16 - Prompt Anatomy with ChatGPT.mp4

04:31

17 - Fine Tuning.mp4

05:30

18 - Demo Prompt Engineering using ChatGPT.mp4

10:22

19 - Checkout Mastering Prompt Engineering for GenAI Practical Workshop.html

4 - HandsOn Use Cases on GenAI Tools Platforms

20 - Overview about Use Cases.mp4

02:08

21 - Demo Use Case1 Email Composition.mp4

06:08

22 - Demo Use Case2 Summarization.mp4

05:16

23 - Demo Use Case3 Pdf Reader Chat with PDF.mp4

05:11

24 - Demo Use Case4 Content Creation blogs youtube video and more.mp4

06:25

25 - Demo Use Case5 Text to Image.mp4

07:11

26 - Demo Use Case6 Text to Video.mp4

04:08

27 - Demo Use Case7 Power Point Presentations.mp4

04:10

28 - Demo Use Case8 Product Fashion Photo Shoot.mp4

06:20

29 - Demo Use Case9 Design Your Brand logo.mp4

04:20

30 - Demo Use Case10 Capture and Share Insights from Meetings.mp4

05:51

31 - Demo Use Case11 Coding and Development in IT.mp4

04:09

32 - Demo Use Case12 Data Analysis.mp4

06:27

33 - Demo Use Case13 Building Website with GenAI.mp4

08:25

34 - Demo Use Case14 Deploying Website with GenAI.mp4

10:41

5 - Responsible Generative AI

35 - Potential Risk Involved.mp4

06:16

36 - Ethical AI.mp4

03:19

37 - AI Best Practices.mp4

03:53

6 - Live Capstone Project for Practice

38 - Project Overview.mp4

03:37

39 - Amazon Bedrock Overview.mp4

07:36

40 - Demo Amazon Bedrock Service.mp4

09:39

41 - Capstone Project Your own GenAI application.mp4

03:48

42 - Demo Capstone Project Your own Chatbot using AWS Bedrock Service.mp4

13:42

7 - More Learnings

43 - More Learnings.html

Description

Learn Generative AI Essentials with lectures, quizzes, real world use cases with hands-on demos and exercises

What You'll Learn?

AI Branches
Getting Started with Generative AI
Prompt Engineering, Anatomy and Framework
Generative Adversarial Networks (GANs)
Variational Autoencoder (VAE's)
Foundational Models (FMs)
Large Language Models (LLMs)
Retrieval Augmented Generation (RAG)
Trending Handson Use cases for Emails, PDF's, Text to Image & Video, Music Composition, Power Point Presentations, Designing Brand Logos, Data Analysis and more
AI - Best Practices
AWS Bedrock Project
Capstone Project - Your own GenAI application

Who is this for?

AI & ML Engineers

Anyone who wants to get started with AI Ecosystem (AI, ML, DL and Generative AI) Journey

Aspiring AI/Generative AI Enthusiasts

Business Professionals and Leaders, Entrepreneurs, CXOs, Business Managers, CHRO's

Data Scientists/Data Engineers

What You Need to Know?

No prior experience is required

Laptop/Desktop with Internet Connectivity anfd that's it

More details

Description
What's Covered in this Course?
The "Generative AI Essentials - Practical Use Cases" course is tailored for learners of all levels, from beginners to seasoned professionals eager to explore the world of Generative AI through effective Prompt Engineering. This course serves as your gateway to mastering generative AI, offering essential concepts and practical, hands-on experience.

We'll begin with an overview of Generative AI, tracing its evolution within the broader AI ecosystem, and then cover essential GenAI terminologies. Following this, we'll examine the fundamental concepts of prompt engineering and its best practices. The core of this course is practical use casesâ€”domain-specific scenarios designed to streamline and enhance your daily workflows. We will also address the potential risks and challenges of using Generative AI. Finally, we'll conclude with an exciting capstone project utilizing AWS Bedrock.

Whether you're new to AI or have some experience, this course will guide you through foundational concepts and each stage of learning.

What is Generative AI?
Generative AI is a subset of artificial intelligence capable of creating new content, including images, videos, music, text, code, and more. It achieves this by learning from extensive datasets of existing information and leveraging that knowledge to produce fresh, clean, and precise outputs.

Legal Notice:
ChatGPT is an open-source, community-driven software managed by the OpenAI. ChatGPT/OpenAI and the ChatGPT/OpenAI logo are trademarks or registered trademarks of The OpenAI in one or many countries. The OpenAI and other parties may also have trademark rights in other terms used herein. This course is not certified, accredited, affiliated with, nor endorsed by The OpenAI.

Course Structure:
Lectures
Demos
Quizzes
Assignments

Course Contents:
Getting Started with GenAI
GenAI Terminologies:
- Generative adversarial networks (GANs)
- Variational Autoencoder (VAEs)
- Foundational Models (FMs)
- Large Language Models (LLMs)
- Retrieval Augmented Generation (RAG)
Prompt Engineering
Hands-On Use Cases on GenAI Tools & Platforms:
- Email Composition
- Summarization
- Pdf Reader | Chat with PDF
- Content Creation: blogs, YouTube video etc
- Text to Image
- Text to Video
- Creating Presentations
- Product & Fashion Photo Shoots
- Design Your Brand logo
- Capture and Share Insights from Virtual Meetings
- Coding and Development
- Data Analysis
- Building Website with Generative AI
- Deploying Website with Generative AI
Responsible Generative AI
Potential Risks
Ethical Considerations
Best Practices
Capstone Project using AWS Bedrock

All sections of this course are demonstrated live, providing step-by-step guidance to help you set up your local environment, perform all exercises, and learn through hands-on practice.
Who this course is for:
AI & ML Engineers
Anyone who wants to get started with AI Ecosystem (AI, ML, DL and Generative AI) Journey
Aspiring AI/Generative AI Enthusiasts
Business Professionals and Leaders, Entrepreneurs, CXOs, Business Managers, CHRO's
Data Scientists/Data Engineers

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Artificial Intelligence

Yogesh Raheja

Instructor's Courses

Yogesh Raheja is a certified DevOps and cloud expert with a decade of IT experience. He has expertise in technologies such as OS, source code management, build & release tools, continuous integration/deployment/delivery tools, containers, configuration management tools, monitoring, logging tools, and public/private clouds. He loves to share his technical expertise with audience worldwide at various forums, conferences, webinars, blogs, and LinkedIn. He has written books on IT automation named "Effective DevOps with AWS", "Automation with Puppet 5" and "Automation with Ansible" which has been published by "John & Wiley" and "Packt Publisher". He has also reviewed some of the DevOps books for multiple Publishers.

Thinknyx Technologies

Instructor's Courses

Thinknyx® Technologies is a team of professionals with years of experience in IT technology, ranging from Software Development to the Management of IT Infrastructure, Cloud, Automation, Container Management, Web and APP Development, Security, and Professional Services. Recognized as a reputable brand, Thinknyx® Technologies provides IT consulting services, offering comprehensive Information Technology and Soft Skills’ Training. Additionally, they offer Talent Acquisition and Recruitment solutions to diverse organizations worldwide.

Dheeraj Sain

Instructor's Courses

Dheeraj Sain is a seasoned instructor specializing in AI, ML, Generative AI, DevOps, and Cloud, with extensive experience in the IT industry. He has reviewed DevOps books for multiple publishers, further establishing his authority in the field.Dheeraj excels at leveraging AI to optimize and innovate within complex technological environments, adeptly guiding students through the intricacies of modern infrastructure and AI applications. Passionate about knowledge sharing, he actively contributes to the tech community through conferences, webinars, and blogs, making him a valuable resource for aspiring professionals.

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