Launch Your AI Product Management & Engineering Career

Aki Wijesundara, PhD

AI Founder | Google AI Accelerator Alum

Manu Jayawardana

Exited AI Founder | Co-Founder, Snapdrum

Stop preparing for AI jobs that no longer exist.

AI roles are evolving faster than job descriptions.
Titles like AI Engineer and AI Product Manager mean wildly different things across companies, and most candidates fail not because they lack skill, but because they lack clear positioning, market awareness, and interview readiness.

This 8-week career accelerator is designed to help you understand how AI roles actually work inside real companies, and how hiring decisions are really made.

This is not a coding bootcamp. This is not a theory-heavy AI course.

It is a practical career accelerator for people who already have some AI exposure but want to turn it into a credible, hireable profile.

In 8 weeks, you’ll learn how to:
  • Choose the right AI role based on real market demand

  • Understand what hiring managers actually expect from AI Engineers vs AI PMs

  • Turn projects into strong, believable career narratives

  • Build an AI-focused CV that passes real hiring screens

  • Prepare for technical, product, and strategy interviews

  • Think long-term about your AI career — not just your next job

Each week combines:

  • Practical frameworks

  • Real hiring examples

  • Guided exercises

  • Live discussion and feedback

What you’ll learn

Build a clear and credible AI career profile, even if you already have AI experience but feel unsure how to position it.

  • How AI Engineer and AI Product Manager roles actually differ

  • How companies define and evaluate AI experience

  • What skills matter in practice and what can be deprioritized

  • Core responsibilities of AI Engineers vs AI PMs

  • Technical depth vs systems and product thinking

  • Working with data, models, and deployment at a high level

  • What makes an AI project credible to hiring managers

  • Framing trade-offs, constraints, and impact

  • Writing strong project and portfolio summaries

  • What AI technical interviews actually test

  • Explaining decisions clearly under pressure

  • Product and strategy interview frameworks

  • Building an AI-focused CV and LinkedIn profile

  • Applying strategically without burnout

  • Networking and referrals that feel natural

Learn directly from Aki & Manu

Aki Wijesundara, PhD

Aki Wijesundara, PhD

AI Founder | Educator | Google AI Accelerator Alum

Previous Students from
Google
Meta
NVIDIA
OpenAI
Amazon Web Services
Manu Jayawardana

Manu Jayawardana

Exited AI Founder (Rise AI: 35k Users) | Co-Founder of Krybe and Snapdrum.com

Previous Students from
Google
Boston Consulting Group (BCG)
McKinsey & Company
OpenAI
NVIDIA

Who this course is for

  • People targeting AI Engineer or AI Product Manager roles in 2026.

  • Individuals transitioning from software, data, or product backgrounds into AI roles.

  • Designed for capable candidates with AI projects or coursework preparing for AI interviews but unsure how to position themselves.

Course syllabus

8 live sessions • 242 lessons

Week 1

Feb 24—Mar 1

    Feb

    24

    The AI Job Market in 2026

    Tue 2/249:30 PM—11:30 PM (UTC)

    Difference between AI Engineer, ML Engineer, SWE, and AI PM roles

    5 items

    How companies define AI experience

    5 items

    Startup vs big tech vs enterprise expectations

    5 items

    Identify oversupplied vs scarce profiles

    5 items

    Choose your primary track

    5 items

    Resources

    5 items

    Articles

    6 items

Week 2

Mar 2—Mar 8

    Mar

    3

    Core Skills & Expectations by Role

    Tue 3/39:30 PM—11:30 PM (UTC)

    Key skills for AI Engineers and AI PMs

    5 items

    Systems thinking, data, models, and deployment (Engineer track)

    5 items

    Problem framing, metrics, and trade-offs (PM track)

    5 items

    Identify personal skill gaps

    5 items

    Resources

    6 items

    Articles

    6 items

Schedule

Live sessions

2 hrs / week

    • Tue, Feb 24

      9:30 PM—11:30 PM (UTC)

    • Tue, Mar 3

      9:30 PM—11:30 PM (UTC)

    • Mon, Mar 9

      9:30 PM—11:30 PM (UTC)

$999

USD

17 hours left to enroll