Staging environment
Free Lesson

Design AI Projects Recruiters Care About

30 min
Jan 11, 2026 5:00 PM
Virtual (Zoom)

In this video

What you'll learn

How to choose AI project ideas that signal real skills

Learn how to select problems that demonstrate system thinking, not just model usage.

How to scope projects to real-world constraints

Understand how to show tradeoffs around data quality, cost, latency, and failure modes.

How to present AI projects clearly to recruiters

Learn how to document decisions, architecture, and outcomes in a way that’s easy to evaluate.

How to avoid common portfolio anti-patterns

Identify project choices and presentations that look impressive but fail to differentiate.

Why this topic matters

Many AI projects look impressive on the surface but fail to signal real engineering or product skill. Recruiters look for clear problem framing, sound system design, and evidence of thoughtful tradeoffs, not flashy demos. This session breaks down how to scope AI projects, show real-world constraints, and present your work in a way that clearly communicates your decisions and technical judgment.

You'll learn from

Dr. Aki Wijesundara

Dr. Aki Wijesundara

AI Founder | Educator | Google AI Accelerator Alum

Previous students from

Google
Meta
NVIDIA
OpenAI
Amazon Web Services
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