Tue, Jun 2, 2026
5:00 PM UTC (1 hour)
Virtual (Zoom)
Free to join
Go deeper with a course
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Tue, Jun 2, 2026
5:00 PM UTC (1 hour)
Virtual (Zoom)
Free to join
Go deeper with a course
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What you'll learn
Build Agentic AI workflows in Claude Cowork without Coding
Run AI Agents from Your Phone with Dispatch Mode
2026 AI Agent Learning Roadmap
Why this topic matters
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.
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