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by sinanuozdemir • Uncategorized
A comprehensive course and code repository for building, deploying, and evaluating AI agents using various frameworks and custom implementations.
Be built and deployed using popular AI frameworks like CrewAI, LangChain, and AutoGen.
Evaluation and performance analysis using rubric-based and positional bias assessments.
That require multi-agent coordination, planning, reflection, and integration with local or cloud-based LLMs.
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.
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