Complete Generative AI Engineering Course

Lesson 1: Generative AI Full Course Part 1 | Learn AI from Scratch (Beginner to Advanced Series)

This is the first part of the Complete Generative AI Course. It introduces generative AI concepts from scratch for beginners and sets up the foundation for the rest of the series. The video is practical and project-oriented, with a focus on learning by building.

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Lesson 2: RAG PART - 1 clearly in English | Generative AI Course Part 2 | Build AI Document Chatbot

This video covers Retrieval-Augmented Generation (RAG) from scratch. You will build an AI document chatbot that can answer questions based on your own documents. The lesson explains the RAG pipeline step by step with practical code.

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Lesson 3: Advanced RAG Part 2 | Hybrid Search in LangChain(FAISS + BM25 + Gemini) Build Your Own RAG Assistant

This is Part 2 of the Advanced RAG series. It focuses on hybrid search, combining FAISS (dense retrieval) with BM25 (sparse retrieval) using LangChain and Google Gemini. You will build a complete RAG assistant that improves retrieval quality.

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Lesson 4: Advanced RAG Part 3 | Re-Ranking Explained Practically CrossEncoder + LangChain +Groq 100% Practical

Part 3 of the Advanced RAG series covers re-ranking. You will learn how to use CrossEncoder to re-rank retrieved documents for better relevance. The practical implementation uses LangChain, Groq (Llama 3.3 70B), FAISS, BM25, and Gemini embeddings.

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Lesson 5: Build Smarter RAG with Query Transformation | Advanced RAG Part 4 | 100% Practical

Part 4 of the Advanced RAG series focuses on query transformation. You will learn techniques to rewrite or expand user queries to improve retrieval results. The lesson is fully practical and shows how to build smarter RAG systems.

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Lesson 6: RAG Evaluation from Scratch | Evaluate Any RAG System with RAGAS + Lang Chain (Complete Tutorial)

This video teaches how to evaluate RAG systems using RAGAS and LangChain. You will learn to measure the quality of your RAG application and identify areas for improvement. The tutorial builds the evaluation pipeline from scratch.

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Lesson 7: Build Your Own AI Agent from Scratch | Agentic AI Part 1 | Complete Beginner to Production

This is Part 1 of the Agentic AI course. You will build your first AI agent from scratch, writing real code and creating tools. The lesson explains how modern AI agents make decisions and take actions.

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Lesson 8: Agentic AI part2 | Upgrading Our AI Agent: The Next Level (From Prototype to Production)

Part 2 of the Agentic AI course takes your prototype agent to a production-ready system. You will upgrade the agent's architecture, memory, and tools, and learn deployment strategies. The focus is on clean code and practical development.

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Lesson 9: Agentic RAG Part 3: Building the AI Loop - Connecting LLMs to Vector DBs

Part 3 of the Agentic RAG series connects the LLM (agent core) to a vector database (memory). You will build the AI loop that allows the agent to retrieve and use long-term knowledge. This moves beyond simple question answering to active retrieval.

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Lesson 10: Agentic RAG Part 4: Adding Memory to Your AI (Vector DB & State Retention)

Part 4 of the Agentic RAG series adds memory to your AI. You will integrate short-term (session) and long-term (semantic and episodic) memory using a vector database. The lesson explains how to make stateless LLMs context-aware.

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Lesson 11: Master LangGraph: Build & Control Complex AI Workflows (Part 1)

This video is Part 1 of a LangGraph series. It teaches how to build stateful, multi-agent AI systems with branching logic, loops, human intervention, and persistent memory. You will learn to control complex AI workflows using LangGraph.

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