Download Full Stack Generative and Agentic AI with Python For Free

What you’ll learn
Write Python programs from scratch, using Git for version control and Docker for deployment.
Use Pydantic to handle structured data and validation in Python applications.
Understand how Large Language Models (LLMs) work: tokenization, embeddings, attention, and transformers.
Call and integrate APIs from OpenAI and Gemini with Python.
Design effective prompts: zero-shot, one-shot, few-shot, chain-of-thought, persona-based, and structured prompting.
Run and deploy models locally using Ollama, Hugging Face, and Docker.
Implement Retrieval-Augmented Generation (RAG) pipelines with LangChain and vector databases.
Use LangGraph to design stateful AI systems with nodes, edges, and checkpointing.
Understand Model Context Protocol (MCP) and build MCP servers with Python.
Description
Welcome to the Complete AI & LLM Engineering Bootcamp – your one-stop course to learn Python, Git, Docker, Pydantic, LLMs, Agents, RAG, LangChain, LangGraph, and Multi-Modal AI from the ground up.
This is not just another theory course. By the end, you will be able to code, deploy, and scale real-world AI applications that use the same techniques powering ChatGPT, Gemini, and Claude.
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