The Complete FastAPI Generative AI Bootcamp

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 For

• Python 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 Python

• Basic understanding of FastAPI is recommended

• No prior AI or Machine Learning experience is required