Build Agentic AI Systems with Claude Code & Codex in 60 Min

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

Wed, Aug 26, 2026

4:00 PM UTC (1 hour)

Virtual (Zoom)

Free to join

Invite your network

Go deeper with a course

AI Agents for Business Certification: Automate Finance, Marketing & Sales
Dr. Ryan Ahmed and Kukesh Kodess
View syllabus

What you'll learn

Build & Deploy a Production Agent with Memory & Tools

Design agents with persistent memory, state management & guardrails, then take them from demo to production.

Orchestrate Multi-Agent Teams with Subagents & Handoffs

Build agent swarms that plan, delegate & pass context between models without losing state or dropping work.

Automate Agent Development with Claude Code & Codex

Use Claude Code & Codex to generate, refactor & debug agent workflows, plus MCP servers for secure data access.

Agentic AI Engineer Learning Path & Skills in 2026

Walk away with a clear learning roadmap of tools, skills & how to become an Agentic AI engineer in 2026.

Why this topic matters

Most developers are stuck building API wrappers. Real agentic engineering means managing state, memory, tool use & multi-agent coordination in systems that survive production. In this session we build agentic AI systems live with Claude Code & Codex, then map the exact skills you need in 2026. Bonus: attendees get a downloadable Agentic AI Engineering roadmap.

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

Sign up to join this lesson

By continuing, you agree to Maven's Terms and Privacy Policy.