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

Free Lesson

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

Hosted by Aki Wijesundara, PhD and Manu Jayawardana

69 students

In this video

What you'll learn

What context engineering actually is (and isn't)

Not prompt engineering with a new name. What the model sees, when, and in what structure — now a core AI hiring signal.

The 5 context decisions every AI system makes

The 5 layers: system prompts, retrieval, memory, tool results, history. We walk each one and where most teams go wrong.

Live teardown: debug a broken AI feature via context

A real failing workflow, fixed by restructuring context. No model swap, no fine-tuning. Just better context engineering.

Why this topic matters

The industry has shifted. Prompting gets you a demo; context engineering gets you production. The best AI engineers aren't writing cleverer prompts — they're designing systems that assemble the right context at the right time. It's the discipline behind RAG, agents, and memory. This lesson gives you the mental model. The AI Engineering Bootcamp gives you the full toolkit.

You'll learn from

Aki Wijesundara, PhD

AI Founder | Educator | Google AI Accelerator Alum

Aki Wijesundara is an AI leader with a PhD in Machine Learning and extensive experience mentoring startups at Google’s AI Accelerator. With a career spanning both research and applied AI, Aki has taught 5,000+ students worldwide how to design and deploy production-ready AI systems.

He has worked across cutting-edge areas of applied AI, from LangChain and RAG pipelines to observability and large-scale deployment. As a researcher and educator, Aki bridges the gap between theory and practice, making complex systems approachable and actionable for engineers, founders, and product leaders.

Aki is also a frequent speaker and advisor to organizations adopting AI, helping them transition from experimentation to production at scale.

Career highlights

Ex–Google AI Accelerator researcher focused on responsible AI and applied ML.
PhD in AI & Cognitive Systems with published research across top universities.
Former researcher with teams affiliated with MIT, University of Oxford, & King’s College London.
Co-founder of Snapdrum — delivered AI systems for finance, education, and healthcare.
Built and deployed AI product pipelines used by PMs, startups, and enterprise teams.
Instructor for multiple AI builder programs, helping 500+ professionals ship AI features fast.

Manu Jayawardana

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

Manu Jayawardana is a serial entrepreneur with multiple AI startup successes.

He is also the Co-Founder of Snapdrum, an AI consultancy helping companies integrate and automate their businesses using AI. Through Snapdrum, Manu has worked with top startups and enterprises across the U.S., Europe, and Asia, advising on automation, product development, and AI strategy.

Currently, Manu is the Co-Founder & CEO of Krybe, an AI voice agent startup in London transforming how businesses automate customer interactions. His experience spans fundraising, scaling products, and leading teams to deliver production-grade AI solutions adopted globally.

Career highlights

Co-Founder of Snapdrum — builds production-ready AI systems for Fortune 500s, YC startups, and global Series A–C companies.
Co-Founder of Krybe — ultra-realistic voice AI platform with 1000+ users and part of the NVIDIA Inception Program.
Built and scaled 10+ companies across AI, SaaS, analytics, and EdTech, including a B2B analytics product that grew 10× in one year.
Former Entrepreneur First Unlock Fellow, selected for high-potential AI founders.

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