Staging environment
Aki Wijesundara, PhD
Manu Jayawardana
Free Lesson

AI Engineering in 30 Minutes: Become an AI-Native Engineer

30 min
Jun 29, 2026 6:00 PM

What you'll learn

Why your model isn't the problem — your pipeline is

Most "dumb AI" bugs are retrieval or ordering failures. Trace a bad output to the stage that broke.

How to make an AI system you can trust in production

Evals before vibes. The minimum testing setup that catches regressions before your users do.

Live build: turn a flaky prototype into something solid

Add retries, fallbacks, and guardrails so it fails safely instead of confidently making things up.

Why this topic matters

Anyone can wire up an API call and get an impressive demo. Shipping something that survives real users, weird inputs, and scale is a different job — and it's the one companies are actually hiring for. AI engineering is the layer between "it worked on my machine" and "it works for ten thousand people who'll try to break it." It's the gap between a cool weekend project and a product.

You'll learn from

Aki Wijesundara, PhD

Aki Wijesundara, PhD

AI Founder | Educator | Google AI Accelerator Alum

Manu Jayawardana

Manu Jayawardana

AI Advisor | Co-Founder & CEO at Krybe | Co-Founder of Snapdrum

Previously Students from

Google
Amazon Web Services
NVIDIA
OpenAI
Meta
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