AI-Enabled Python Web Dev Scholarship

Introduction

Python Basic, Variables, Data Types, Conditional, Looping, and Function

Python Type Hint and Pydantic

FastAPI Basic and Routing

FastAPI Path and Query Parameters

SQLModel ORM and Database Models CRUD Operations and Database Sessions Database Migrations and Async Operations

Authentication with JWT and OAuth2

Middleware, testing, and error handling

Deployment and production optimization

OpenAI API setup and authentication

Text completion and prompt engineering

Integrating AI responses with FastAPI endpoints

Agent architecture and core components

Agent planning and reasoning logic

Building custom agent workflows from scratch

OpenAI Agent SDK fundamentals and setup

Agno Agentic AI framework and architecture

Building autonomous AI agents with FastAPI

Vector databases and embedding concepts

RAG architecture and document processing

Building basic RAG applications with FastAPI

Advanced RAG patterns and optimization

Sparse and Dense Retrieval

Combining RAG with agentic AI systems

Observability: tracing, metrics, and structured logging for AI apps

LLM Router: multi-provider routing, fallbacks, and cost optimization

Building Agent Harness for evaluation, guardrails, and safe execution

Production deployment, scalability, and performance optimization

Final project: Production-ready AI application