What you'll learn in Launch Your AI Product Management & Engineering Career
What you'll leave with
- 1A clear and credible AI career profile
- 2A polished CV and LinkedIn profile for AI roles
- 3Interview preparation frameworks for technical and product rounds
- 4A 90-day career acceleration plan
Course Curriculum
Week 1Understand the Real AI Job Market
Understand the Real AI Job Market
- Difference between AI Engineer, ML Engineer, SWE, and AI PM roles (5 modules)
- How companies define AI experience (5 modules)
- Startup vs big tech vs enterprise expectations (5 modules)
- Identify oversupplied vs scarce profiles (5 modules)
- Choose your primary track (5 modules)
- Resources and Articles
Week 2Understand Role Expectations
Understand Role Expectations
- Key skills for AI Engineers and AI PMs (5 modules)
- Systems thinking, data, models, and deployment — Engineer track (5 modules)
- Problem framing, metrics, and trade-offs — PM track (5 modules)
- Identify personal skill gaps (5 modules)
- Resources and Articles
Weeks 3–4Turn Experience Into Hiring Signal
Turn Experience Into Hiring Signal
- What makes an AI project credible to hiring managers
- Framing trade-offs, constraints, and impact
- Writing strong project and portfolio summaries
Weeks 5–6Prepare for Real Interviews
Prepare for Real Interviews
- What AI technical interviews actually test
- Product and strategy interview frameworks
- Explaining decisions clearly under pressure
Weeks 7–8Applications, Networking & Offers
Applications, Networking & Offers
- Building an AI-focused CV and LinkedIn profile
- Networking and referrals that feel natural
- Navigating offers and negotiations
Who Launch Your AI Product Management & Engineering Career is designed for
Prerequisites
Your Instructors
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.
Manu Jayawardana
Exited AI Founder | Co-Founder, Snapdrum | Co-Founder & CEO, Krybe
Manu Jayawardana is a serial entrepreneur with multiple AI startup successes. He exited Rise AI, a fintech app with over 35,000 users, to a private investor. He co-founded Snapdrum, delivering enterprise AI systems and scaling paid acquisition engines that drove 5,000+ premium customers. He is also Co-Founder & CEO of Krybe, a London-based Voice AI startup serving 1,000+ users and part of the NVIDIA Inception ecosystem. With a background in quant finance and AI engineering, he operates at the intersection of AI, distribution, and execution.
What Students Say
“The AI training approach is outstanding. Our team learned to build practical AI solutions that we could implement immediately in our educational platform. The hands-on methodology made complex AI concepts accessible to our entire development team.”
Kavi T.
CEO of Tilli Kids / Stanford PhD
“I sent my team through this training for upskilling, and the results have been remarkable. Within weeks, they became much more efficient at building automations and deploying AI agents at work. This program bridges the gap between theory and practice and it's had a real impact on our productivity.”
Aamir Faaiz
CEO of Bayseian
Frequently Asked Questions about Launch Your AI Product Management & Engineering Career
What will I learn in Launch Your AI Product Management & Engineering Career?
Understand how AI Engineer and AI PM roles actually differ in real companies. Know what skills matter in practice vs. what can be deprioritized. Turn your experience into clear hiring signals with strong project summaries. Prepare for real AI technical and product interviews. Build an AI-focused CV and LinkedIn profile that passes real hiring screens. Navigate job applications and offers strategically without burnout
Who is Launch Your AI Product Management & Engineering Career designed for?
People targeting AI Engineer or AI Product Manager roles in 2026. Individuals transitioning from software, data, or product backgrounds into AI roles. Capable candidates with AI projects or coursework preparing for AI interviews
What are the prerequisites for Launch Your AI Product Management & Engineering Career?
Some AI exposure or coursework. A desire to turn existing skills into a hireable profile
How long does Launch Your AI Product Management & Engineering Career take?
8 weeks. Format: Cohort-based career accelerator.
What will I leave with after completing Launch Your AI Product Management & Engineering Career?
A clear and credible AI career profile. A polished CV and LinkedIn profile for AI roles. Interview preparation frameworks for technical and product rounds. A 90-day career acceleration plan
Is Launch Your AI Product Management & Engineering Career available online?
Yes, Launch Your AI Product Management & Engineering Career is delivered entirely online as a cohort-based career accelerator.
Who teaches Launch Your AI Product Management & Engineering Career?
Aki Wijesundara, PhD — AI Founder | Educator | Google AI Accelerator Alum. Manu Jayawardana — Exited AI Founder | Co-Founder, Snapdrum | Co-Founder & CEO, Krybe
How do I enroll in Launch Your AI Product Management & Engineering Career?
You can enroll via Maven at https://maven.com/theaiinternship/break-into-ai-engineering-or-ai-pm. Click the "Enroll on Maven" button on this page.
Topics covered
Corporate Training & Team Upskilling
Train your entire team on Launch Your AI Product Management & Engineering Career. We offer corporate group training, custom cohorts, and enterprise licensing. Trusted by teams at Google, Meta, Oracle, and more.