School of Artificial Intelligence
Full Stack AI with Python, LLMs, RAG & Agents
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Course Overview
Build production-ready AI applications. Master Python, OpenAI APIs, LangChain, RAG, LangGraph, and MCP to create intelligent AI assistants and agents.
Course Modules
1
Python Refresher: Functions, OOP, Async, Generators, Pydantic
2
Generative AI: Transformers, LLMs, Tokens, Prompt Engineering, Embeddings
3
OpenAI APIs: Chat APIs, Vision, Function Calling, Structured Outputs
4
LangChain: Chains, Memory, Tools
5
Retrieval Augmented Generation: Vector Databases, Chroma, Pinecone, FAISS
6
LangGraph: Multi Agent Systems, Planning, Memory, Human Approval
7
Model Context Protocol (MCP): MCP Servers, Clients, Tool Integration
8
Production: Docker, FastAPI, Deployment, Monitoring
Practical Project
Build a complete AI Assistant