This bootcamp covers the LangChain framework end-to-end, enabling you to build AI Agents in Python. You’ll explore prompt templates, chain composition, agent tooling, conversational memory, and document retrieval. Through interactive notebooks and detailed exercises, you’ll implement chatbots, automated workflows, question-answering systems, and custom agent chains. By course end, you’ll understand how to deploy and optimize LangChain-based agents for diverse tasks.

PydanticAI is an AI-driven agent that assists Python developers in creating and managing data models. It leverages advanced data validation to ensure that data adheres to defined formats and types. The agent helps streamline the process of data handling, making it more efficient and less error-prone by automatically generating validation errors and enforcing constraints as needed. This AI agent simplifies the integration of data validation in applications, making it a valuable tool for developers looking for reliability and speed in their coding practices.