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Free Lesson

Becoming an AI Engineer in 2026

30 min
Jan 13, 2026 5:00 PM
Virtual (Zoom)

In this video

What you'll learn

A practical picture of the AI engineer role in 2026

Understand how the role is evolving beyond model training into systems, products, and workflows.

The core skills AI engineers actually need

Learn which technical foundations, tools, and product skills matter most.

How AI engineers work with models, data, and infrastructure

See how real-world systems are built, deployed, and maintained.

Where to focus when learning or reskilling

Prioritize what to learn next and what to ignore.

How to grow from experimentation to production work

Understand the difference between demos and production-ready systems.

Why this topic matters

The AI engineer role is often described narrowly as model training or prompt writing. In practice, it’s about building reliable systems around AI. This session focuses on what the role actually looks like in 2026, helping builders invest time in skills that translate to real impact.

You'll learn from

Dr. Aki Wijesundara

Dr. Aki Wijesundara

AI Founder | Educator | Google AI Accelerator Alum

Manu Jayawardana

Manu Jayawardana

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

Previous students from

Google
Meta
Amazon Web Services
NVIDIA
OpenAI
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