The Complete FastAPI Generative AI Bootcamp

About this course

Ready to build real-world AI applications instead of just making simple API calls ?In this course, you'll learn how to build production-ready AI applications using FastAPI, Large Language Models (LLMs), and modern AI engineering techniques. From AI assistants to advanced AI Agents, you'll gain hands-on experience by building practical projects from scratch.

This course goes beyond basic ChatGPT integrations. You'll learn Prompt Engineering, Structured Outputs, Streaming, Function Calling, AI Agents, Retrieval-Augmented Generation (RAG), Model Context Protocol (MCP), Long-Term Memory, Guardrails, and scalable Multi-Provider AI architectures used in real-world applications.

What You'll Learn

Build AI applications with FastAPI and the latest OpenAI SDK

Master Prompt Engineering, Structured Outputs, and Streaming

Create AI Agents and Agentic AI workflows

Implement Function Calling and AI Tools

Build RAG systems using embeddings and vector databases

Develop AI applications with short-term and long-term memory

Create and integrate MCP servers with AI agents

Design production-ready multi-provider AI architectures

Apply guardrails and evaluation techniques for reliable AI systems

Build real-world, portfolio-ready AI projects

Who This Course Is ForPython developers who want to build AI applications

Beginner FastAPI developers looking to integrate AI into their applications

Backend developers interested in AI Engineering

Freelancers, SaaS founders, and software engineers building AI-powered products

Prerequisites

Basic knowledge of PythonBasic understanding of FastAPI is recommended

No prior AI or Machine Learning experi

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