Ship a Real AI Agent to Production with Claude Code & Codex

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

Fri, Jul 17, 2026

3:00 PM UTC (1 hour)

Virtual (Zoom)

Free to join

107 students

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

Choose the right AI agent architecture

Learn the main agentic AI patterns and how to pick the one that fits your problem using problem-first framework.

Deploy a real agent to production, live

Watch an agent research, write, translate, verify, and publish, then ship live, with the full repo shared.

Control token cost by design

See how your architecture decides what an agent costs to run, and how to keep it low from the start.

Why this topic matters

Building AI agents is one of the top skills to learn in 2026. Most AI agents die between the demo and production. In this hands-on session, you'll go problem-first: define the job, pick the architecture, and deploy a working agent live. Watch one research, write, translate, verify, & publish content, then ship to production. You'll leave with the full repo and a repeatable way to design any agent.

You'll learn from

Dr. Ryan Ahmed, Ph.D., MBA

Professor, AI expert, & YouTuber who has taught 600,000+ 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 600,000+ 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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