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Generative AI for Everyone

This repository contains the full structure, resources, and hands-on notebooks for my Generative AI for Everyone YouTube Course.
The course is divided into 8 modules, starting from the basics of Generative AI and going all the way to the Future of GenAI.

Click here to watch playlist


📚 Course Modules

M1 – Introduction to Gen AI

  • Introduction to Gen AI
  • Course Preview/Index
  • Use Cases of Gen AI
  • LLMs in Gen AI
  • Transformers in Gen AI
  • Diffusion Models in Gen AI

M2 – Low Code / No Code AI Tools

  • Introduction to Low Code/No Code tools
  • Introduction to Zapier
  • Zapier Interface Walkthrough
  • Hands-on Project
  • Introduction to Make
  • Scenarios in Make
  • Make Interface Walkthrough
  • Hands-on Project

M3 – Prompt Engineering

  • Introduction to Prompt Engineering
  • Zero Shot Prompting
  • Few Shot Prompting
  • Chain of Thought Prompting
  • How to Write a Perfect Prompt
  • Hands-on ProjectBurger Bot

M4 – Introduction to RAG

  • Introduction to RAG
  • Core Components of RAG
  • Chunking with Practical
  • Embeddings with Practical
  • Insertion in Vector DB with Practical
  • Semantic Search with Practical
  • Asking a Query with Practical
  • Hands-on ProjectRAG Chain

M5 – RAG in LangChain

  • Introduction to LangChain
  • Pre-Built Modules Walkthrough
  • Hands-on Project

M6 – Agentic RAG in LangGraph

  • Introduction to Agents & Agentic RAG
  • Traditional RAG vs Agentic RAG
  • Introduction to LangGraph
  • Core Components of LangGraph
  • Types of Workflows
  • Conditional Workflow (Practical)
  • Parallel Workflow (Practical)
  • Sequential Workflow (Practical)
  • Iterative Workflow (Practical)
  • Memory and Checkpointers
  • Hands-on ProjectMovie Recommendation Agent System

M7 – Model Context Protocol (MCP)

  • Introduction to MCP
  • Core Components of MCP
  • Decoding MCP Architecture
  • Hands-on Project

M8 – Future of Generative AI

  • Human + AI Collaboration – The Future Workstyle
  • Will AI Take My Job? Or Create New Ones?
  • Global AI Race: Collaboration or Competition?
  • AI + Creativity: The Future of Art, Music, and Storytelling
  • Your Roadmap to the Future – Staying Relevant in the AI Era

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