AI Agents A-Z

Example Use Cases

• 1

  Be built and deployed using popular AI frameworks like CrewAI, LangChain, and AutoGen.

• 2

  Evaluation and performance analysis using rubric-based and positional bias assessments.

• 3

  That require multi-agent coordination, planning, reflection, and integration with local or cloud-based LLMs.

Description

This repository supports a live course and video series that guide users through foundational to advanced AI agent concepts, including frameworks like CrewAI, LangChain, AutoGen, and building agents from scratch. It offers practical hands-on exercises, notebooks for multiple agent frameworks, multi-agent systems, and modern agent paradigms. The content emphasizes real-world application, evaluation, and best practices for deploying AI agents effectively.