Learn Generative AI - Tutorials, Projects and Advanced AI Concepts

Explore the comprehensive world of generative artificial intelligence through this extensive tutorial playlist covering fundamental concepts to advanced implementations. Master the foundations of generative AI and agentic AI systems while learning to build practical applications using cutting-edge frameworks like LangChain, LangGraph, and CrewAI. Discover how to run large language models locally with Ollama, implement retrieval-augmented generation (RAG) systems, and create intelligent chatbots and AI agents. Build real-world projects including ChatGPT clones, database chat interfaces, Q&A applications, and AI trip planners using various LLMs from GPT to open-source alternatives like Llama and DeepSeek. Learn the differences between generative AI and agentic AI, understand when to use RAG versus fine-tuning, and implement multi-agent systems for complex workflows. Gain hands-on experience with tools, memory systems, custom workflows, and AI automation while exploring advanced topics like Generative Adversarial Networks (GANs) and diffusion models. Access step-by-step tutorials, GitHub repositories, and practical code examples designed for beginners through experienced developers seeking to implement AI solutions in business, education, and research applications.

Syllabus

L-1 Generative AI for Beginners
L 2 Ollama | Run LLMs locally
L-3 LangChain Explained | Building Generative AI Apps from Scratch
L-4 Step-by-Step Guide to Building a ChatGPT Clone
L-5 Chat with database using LangChain
Run Llama 3.1 locally using LangChain
L-7 RAG (Retrieval Augmented Generation)
L-8 Build a Q&A App with RAG using Gemini Pro and Langchain
L-9 Build a Q&A App with RAG, LangChain, and Open-Source LLMs | Step-by-Step Guide
L-10 RAG Vs Fine-tuning
L-11 What is AI Agent and LLM Agent
L-12 LangChain Agents and Tools | Step by Step Implementation
L-13 Building Agents in LangChain from Scratch
L-14 What is LangGraph? LangChain vs LangGraph Explained
L-15 LangGraph: Getting Started: Step by Step tutorial to build Chatbot
L-16 Build AI Workflows in LangGraph with Agents & LLMs
L-17 LangGraph Chatbot Tutorial: Create & Integrate Custom Tools with LLM
L-18 How to Use Multiple Agents in LangGraph
L-19 How to Use RAG with LangGraph to Improve LLM Responses
L-20 How CrewAI Works: The Power of Multiple AI Agents Working Together
L-21 AI Trip Planner Tutorial | Build AI Travel Assistant with CrewAI, LangChain & Streamlit
How to Fine-Tune DeepSeek R1 LLM (Step-by-Step Tutorial)
DeepSeek R1 Explained: What It Is and How to Get Started
How to Use DeepSeek-R1 with LangChain & Streamlit
LangGraph + Deepseek R1: How to Build a Local AI Chatbot
How Qwen2.5-1M Works ?
How to Run Qwen 2.5 Locally (Multiple Methods)
Generative AI Vs Agentic AI
Generative Adversarial Networks: A Beginner's Guide to GANs
GANs Implementation: Creating Faces that Don't Exist
Understanding Diffusion Models: Step-by-Step Explanation | Math Explained