Generative AI Full Course in 1 Hour | GenAI Basics + Live Project using Python (2026)

In this 1-hour Generative AI crash course, you’ll learn everything a beginner needs to know about GenAI, along with a hands-on live project built using Python.

This video is designed for absolute beginners—no prior AI or machine learning experience required.

🚀 What you’ll learn in just 1 hour:

✔ What is Generative AI (clearly explained)
✔ Difference between AI, ML, DL & GenAI
✔ How Large Language Models (LLMs) work
✔ What are tokens, embeddings, and prompts
✔ How ChatGPT actually generates responses
✔ Introduction to vector databases & semantic search
✔ What is RAG (Retrieval Augmented Generation)
✔ Real-world GenAI architecture
✔ Tools used in GenAI (LangChain, OpenAI, FAISS)

🛠️ Live Project (Hands-On): https://github.com/Shweta0501/mychatbot

You’ll build a real Generative AI application where:

Users upload a PDF

Text is converted into embeddings

Documents are stored in a vector database

Questions are answered from the document itself

A working chatbot UI is created using Streamlit

This project shows how GenAI is used in real-world applications, not just theory.

🎯 Who this video is for:

Beginners starting with Generative AI

Python developers entering AI

Students & freshers

Professionals exploring AI tools

Anyone curious about ChatGPT and GenAI

🧠 Tech Stack Used:

Python

OpenAI / LLMs

LangChain

FAISS

Streamlit

Embeddings & Vector Search

By the end of this video, you’ll:
✔ Understand GenAI end to end
✔ Know how modern AI apps are built
✔ Have a live GenAI project you can showcase

📌 Perfect for interviews, portfolios, and real-world use cases.

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