Mastering Agentic RAG & AI Evals

Part of The AI Evaluation Handbook

Hosted by Dr. Ryan Ahmed, Ph.D., MBA and Kukesh Kodess

Wed, Jun 17, 2026

4:00 PM UTC (1 hour)

Virtual (Zoom)

Free to join

308 students

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Go deeper with a course

The Agentic AI Engineering Bootcamp & Certification
Dr. Ryan Ahmed and Kukesh Kodess
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What you'll learn

Mastering Agentic Retrieval Augmented Generation (RAG)

Build Agentic RAG pipelines using Claude Code & learn how AI agents improve retrieval & handle complex questions.

Evaluate AI Agents with Confidence

Discover how to measure retrieval quality, align AI judges with humans, and evaluate AI systems with confidence.

2026 AI Agent Learning Roadmap

Get a clear roadmap for mastering AI agents, automations, workflows, and tools that matter most in 2026.

Why this topic matters

Most RAG systems look impressive in demos but struggle in production. Agentic RAG introduces planning, iterative retrieval, and the ability to recognize when information is missing, resulting in more reliable and trustworthy AI systems. In this live session, you'll see where traditional RAG breaks, how agentic RAG improve performance, and how to evaluate AI systems before deploying in production.

You'll learn from

Dr. Ryan Ahmed, Ph.D., MBA

Professor, AI expert, & YouTuber who has taught 590,000+ learners worldwide.

Dr. Ryan Ahmed is a professor, corporate trainer, and best-selling online instructor specializing in AI, cloud computing, and data science. He holds an M.A.Sc., Ph.D., and MBA from McMaster University. He has taught 590,000+ learners across 160 countries on Udemy and Coursera and runs the “Prof. Ryan Ahmed” YouTube channel with 260,000+ subscribers and 4M views. Dr. Ahmed has delivered AI, Python, and data science training to leading institutions, including RBC, HSBC, Barclays, TD, BNY Mellon, Lazard, Jefferies, and the CFA Institute. He previously held senior roles at GM, Samsung, and Stellantis, is a P.Eng. in Ontario, a Udemy Instructor Partner, a Stanford-certified program manager, and has authored 60+ peer-reviewed papers, earning multiple IEEE best paper awards.

Kukesh Kodess

Director of Engineering @Launchpad.AI

Kukeshajanth Kodeswaran is a Director of Engineering at Launchpad.AI, where he builds production-grade AI/ML systems, multi-agent frameworks, and LLM-powered products. He has delivered AI solutions for clients including Nike, Levis, and Mr. Cooper, spanning price optimization, recommendation engines, marketing mix modeling, and autonomous data agents. Kukesh holds a Master's in Engineering from the University of Windsor, with research in self-driving cars and computer vision. He has deep multimodal AI expertise, having built virtual try-on and image-generation prototypes in the early Stable Diffusion era. He co-created 10+ best-selling courses on AI agents, LLMs, and data science with Dr. Ryan Ahmed on Udemy/Coursera. Kukesh is always experimenting at the frontier of what's next in AI.

ALUMNI/CLIENTS:

Meta
Microsoft
General Motors
HSBC
Samsung
See all products from Dr. Ryan Ahmed, Ph.D., MBA

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