AI-Powered Product Management
AI-Powered Product Management is a 16-hour, cohort-based course that teaches you to use AI as a structured thinking tool — for better decisions, sharper trade-offs, and portfolio-ready deliverables.
Who this is for:
✅ Product Managers and Business Analysts ready to operate with greater clarity, stronger stakeholder alignment, and a more advanced AI-powered workflow.
✅ Aspiring Product Managers and Career Switchers seeking a clearer path into product roles with portfolio-ready work that demonstrates real capability.
✅ Founders and Functional Leaders stepping into product ownership — whether running a lean team, leading a growth initiative, or bridging strategy and execution — who need structured product thinking and AI-fluency to make faster, higher-quality decisions without a dedicated PM.
Trainer Introduction
Hello,
I’m Mohamed Echout,
Pluralsight AI Course author | NVIDIA Certified Instructor | Technical Trainer at Global Knowledge
Mohamed is a seasoned instructor who helps product teams apply AI where it matters—in real decisions and delivery. He turns AI output into clearer trade-offs, stronger alignment, and more reliable execution, drawing on experience training teams across enterprises and international markets.
Is This You?
This course was built for one of three people. See which one fits.
This isn't a general AI literacy course. It's built for product people with real problems — and real pressure to perform.
You're already in the role. But AI is making it harder to trust your own work.
You've opened ChatGPT mid-sprint. You've used it for research, spec writing, maybe a stakeholder update. But you second-guess every output — and you can't always tell when it's wrong.
This course gives you a structured framework to use AI with confidence, and the audit skills to catch it when it fails you.
→ Stop guessing. Start shipping work you can stand behind.
You're breaking in — and you know a generic certification won't be enough.
Hiring managers have seen the certificates. They want proof you can do the work. This course gives you portfolio-ready deliverables — a real PRD, a risk checklist, a resume statement built around your experience — so you walk into interviews with evidence, not just talking points.
→ Come out with work samples, not just a badge.
Your role is shifting toward product decisions — and you weren't handed a playbook.
Engineers, analysts, and architects are being pulled into product trade-offs more than ever. But nobody gave you the mental model for it. This course teaches you how PMs think — and layers in AI workflows that fit the way you already work.
→ Get the language, the tools, and the confidence to own the room.
The real problem
AI is accelerating bad PM decisions, not just good ones.
The risk isn't that AI replaces PMs. It's that AI makes undisciplined PMs faster at being wrong.
"I use ChatGPT but I don't trust the output."
Without a structured prompt framework, AI gives you confident-sounding answers with no way to verify them. You need guardrails before you generate.
"My AI feature ideas don't survive stakeholder review."
Because you're pitching ideas, not decision-grade evidence. AI can help you build the latter — but only if you frame the problem correctly first.
"I have AI knowledge, but nothing to show for it."
Courses that end in a quiz don't help your portfolio. This one ends with real artifacts: a PRD, a risk checklist, and output you can show in interviews.
Portfolio deliverables
You won't just learn. You'll build things you can actually use.
Every deliverable is constructed during the course — live, with instructor guidance — so you leave with work product, not just notes.
01
AI Product Risk Checklist
A structured checklist for evaluating hallucination risk, misuse scenarios, and failure modes before any AI feature ships.
02
Mini AI Feature PRD
A complete product requirements document for an AI feature — built live using a structured PM workflow with instructor feedback.
03
Resume-Ready Output Statement
A hiring-signal statement that articulates what you built, the impact it demonstrates, and how to position it for PM roles.
04
AI-PM Decision Framework
A reusable mental model for locking the decision, clarifying user context, and setting AI guardrails — applicable to any future project.
Singapore Product Manager Salary Benchmarks
| Seniority | Typical Experience | Job titles | Typical Monthly Base Range (SGD) |
|---|---|---|---|
| Junior / entry-level | ~ 0 -2 years | Junior Product Manager, Product Analyst, Assistant Product Maager | $3500 - $5000 |
| Associate / executive | ~ 1-3 years | Associate Product Manager, Product Executive | $4800 - $6600 |
| Mid-level | ~3-6 years | Product Manager, Digital Product Manager, Product Owner | $5500 - $9000 |
| Senior Manager | ~ 5 -10 years | Senior Product Manager, Lead Product Manager, Group Product Manager | $7000 - $$17000 |
| Director / VP | ~ 10 - 15+ years | Director of Product, Head of Product, VP Product Management, Chief Product Officer | $12000 - $30000 |
Join Us Now
Reserve your seat and start building AI products that hold up in real-world use.