Agentic AI L8: Deploying agents and agentic systems Part 1

This video is the eighth lecture in a course on agentic AI, focusing on deploying agents and agentic systems. The instructor begins by recapping previous topics and outlining what will be covered, emphasizing the importance of deployment. He introduces FastAPI, a Python framework for building APIs, and explains its key features: asynchronous support, Pydantic for data validation, and automatic documentation generation. He then demonstrates how to create a simple FastAPI application with endpoints for CRUD operations on a book database, using an in-memory dictionary. The tutorial includes running the server with Uvicorn, testing endpoints via the interactive docs, and handling errors. The instructor discusses the concept of API endpoints as gateways for software components to communicate, and highlights security concerns like prompt injection. Finally, he outlines three main deployment approaches: embedding the agent in the application code, exposing it via an API, and using containers, with the first approach being the focus of this lecture.