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Build a Real AI Agent in 60 Minutes & 2026 Learning Roadmap

Hosted by Dr. Ryan Ahmed

Tue, Feb 24, 2026

6:00 PM UTC (1 hour)

Virtual (Zoom)

Free to join

3,315 students

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Go deeper with a course

The Agentic AI Engineering Bootcamp
Dr. Ryan Ahmed
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What you'll learn

Build & Deploy a Production-Ready AI Agent (Not Just a Demo)

Design, build, and deploy an AI agent with tools, memory, guardrails taking it from demo to a production workflow

Automate AI Agents Workflow Creation with Claude Code/Codex

Discover how Claude Code & Codex can generate, refine, and orchestrate agent workflows with Skills add-ons.

Agentic AI Engineer Learning Path & Skills in 2026

Learn the skills, tools, and learning roadmap needed to become an Agentic AI engineer in 2026

Why this topic matters

Building AI agents is one of the most valuable skills of 2026. Unlike chatbots, AI agents can reason, use tools, and automate real workflows. This session shows how to build AI agents with tools, memory and guardrails, while outlining a clear path to becoming an Agentic AI engineer. Bonus: Attendees will receive an exclusive downloadable Agentic AI learning roadmap.

You'll learn from

Dr. Ryan Ahmed

Professor & AI expert | 510K+ students worldwide.

Dr. Ryan Ahmed is a professor, corporate trainer, and AI expert who has taught 510,000+ learners across 160 countries through best-selling courses on Udemy and Coursera. He specializes in applied AI, agentic systems, cloud computing, and data science, with a focus on building and deploying production-ready AI solutions.

He has delivered hands-on AI, Python, and data science training to leading institutions including RBC, HSBC, Barclays, TD, BNY Mellon, Lazard, Jefferies, and the CFA Institute, helping teams move from experimentation to real-world deployment.

Dr. Ahmed runs the Prof. Ryan Ahmed YouTube channel with 259,000+ subscribers and 3.5M views, where he teaches practical AI workflows and agent-based systems at scale. Prior to academia, he held senior engineering and leadership roles at GM, Samsung, and Stellantis.

He holds an M.A.Sc., Ph.D., and MBA from McMaster University, is a licensed Professional Engineer (P.Eng.) in Ontario, a Udemy Instructor Partner, and a Stanford-certified program manager. He has authored 60+ peer-reviewed publications, received multiple IEEE best paper awards, and bridges research, industry, and education to help professionals build reliable, high-impact AI systems.

General Motors
HSBC
Samsung
Barclays
Stellantis

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