Build Your First AI Agent, No Coding, No Experience

Hosted by Dr. Ryan Ahmed and Kukesh Kodess

Tue, Apr 14, 2026

4:00 PM UTC (1 hour)

Virtual (Zoom)

Free to join

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Go deeper with a course

The Agentic AI Engineering Bootcamp & Certification
Dr. Ryan Ahmed
View syllabus

What you'll learn

Build an AI agent from scratch without writing any code

Use OpenAI's Agent Builder to design a working AI agent with a system prompt, tools, and guardrails

Connect your agent to real tools like web search and files

Wire external tools into your agent so it can search the web, read documents, and take real actions on your behalf

Get your 2026 agentic AI learning roadmap

Walk away with a clear roadmap of skills, tools, and resources to go from your first agent to full autonomous workflows

Why this topic matters

In 2025, you typed prompts. In 2026, your AI agents works for you. AI agents don't wait for instructions. They connect to your tools, remember your preferences, and take action on your behalf. The problem? Most people think you need to code to build one. You don't. In this session, you'll build a real AI agent in 60 minutes with zero coding. You'll also get a 2026 Agentic AI learning roadmap.

You'll learn from

Dr. Ryan Ahmed

Professor & AI expert | 540K+ students worldwide.

Dr. Ryan Ahmed is a professor, corporate trainer, and AI expert who has taught 540,000+ 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 260,000+ subscribers and 4M 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.

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

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