What PMs Must Know About AI (Before They Ship the Wrong Thing)
Dalibor Jovic
Director of AI
Hussam Ahmad
Leadership & Product Excellence Coach
Stop guessing where AI belongs in your product.
AI is no longer optional in product work.
Stakeholders ask for AI features.
Executives talk about “AI strategy.”
Customers expect smarter products.
And PMs are stuck in the middle, expected to lead AI decisions without clear guidance, shared language, or proven patterns.
Many PMs are asking:
Where does AI actually create value?
How do I avoid chasing AI hype or shipping gimmicks?
How do I design AI features users trust?
How do I turn vague AI ideas into real roadmaps?
AI features will ship—with or without you having clarity.
What PMs Must Know About AI exists to answer those questions, practically, clearly. It is not a technical AI course.
It is a product leadership course for the AI era, focused on the decisions PMs are now responsible for:
Identifying high‑impact AI opportunities
Designing AI user experiences that work in the real world
Making confident trade‑offs when AI is uncertain
Translating AI ideas into roadmaps, outcomes, and OKRs
Leading AI discussions without hype or fear
You’ll use a simple model called ALPHA™ (explained later) to learn how to think and act like an AI‑ready product leader
This course is built directly from the questions PMs asked in our most popular Lightning Lessons.
What you’ll learn
Gain the skills to think strategically, lead confidently, and transform from task‑focused PM to an impactful, outcome‑driven product leader.
Navigate AI idea → validation → launch.
Apply Lean thinking to AI bets without wasting months.
Avoid AI experiments that never turn into products.
Craft a compelling product vision and narrative your org can rally around.
Translate strategy into roadmaps that actually guide decisions.
Use OKRs to connect strategy → execution and eliminate thrash.
Run lean market research that uncovers real customer needs and jobs‑to‑be‑done.
Turn insights into crisp problem statements and opportunity areas.
Evaluate and prioritize AI opportunities using customer value, feasibility, and risk.
Communicate decisions and trade‑offs with authority—even when AI is uncertain.
Partner with Data/ML, Design, and Engineering without getting lost in the tech.
Facilitate discussions that cut through hype, align stakeholders, and drive focused AI bets.
Learn directly from Dalibor & Hussam
Dalibor Jovic
Developer‑turned‑AI director with 20 years and 200+ shipped software projects.
Hussam Ahmad
Product leader focused on strategy, execution, and human‑centric leadership
Who this course is for
You’re a PM or Senior PM expected to contribute to AI decisions
You’re stepping into a Lead or Principal Product role
You're a project managers transitioning to product
You're a startup founder shaping your first product function
You feel pressure to “have an AI plan,” but want clarity—not buzzwords
Prerequisites
You should already work on a digital product (B2B or B2C)
and feel some pressure to “have a plan” for AI—even if that plan is unclear right now.
Not a fit if:
You want an intro to AI/ML or hands‑on coding, don’t currently work on a product with real users or looking for a purely technical AI course
What's included
Live sessions
Learn directly from Dalibor Jovic & Hussam Ahmad in a real-time, interactive format.
Live, interactive sessions (no passive videos).
Interact directly and get everything clarified ongoing
Dedicated Q&A and feedback time each week.
We get online regularly to answer any questions that might come up in addition to feedback on your work + adjustments if needed.
A cohort of experienced PMs and product leaders to learn with.
Like-minded people sharing going the same path as you.
Templates, canvases, and examples you can reuse with your team.
All templates, canvases and example we share throughout the course are free for you to use.
Lifetime access to recordings for your cohort.
Revisit any particular session whenever needed
You’ll complete a portfolio‑ready capstone for a real or hypothetical product
This will include: Customer Insights Brief , Product Strategy, Outcome‑based Roadmap, OKRs. You’ll receive structured feedback from the instructor and peers—and leave with assets you can use immediately at work.
Maven Guarantee
Your purchase is backed by the Maven Guarantee.
Course syllabus
6 live sessions • 2 projects
Week 1
Jun
1
AI-Ready Product Leader - Live Session 1: Why PMs Fail at AI (and How Better Judgement Looks)
Mon 6/16:00 PM—8:00 PM (UTC)Jun
3
AI-Ready Product Leader - Live Session 2 (Q&A + feedback)
Wed 6/36:00 PM—7:30 PM (UTC)
Module 1 - Why AI Changes the PM Role (and What That Means for You)
Week 2
Jun
8
AI-Ready Product Leader - Live Session 3: From Customer Insight to AI Bets
Mon 6/86:00 PM—8:00 PM (UTC)Jun
10
AI-Ready Product Leader - Live Session 4 (Q&A + working session)
Wed 6/106:00 PM—7:30 PM (UTC)
Module 2 - From Customer Insight to AI Bets
Free resources
Schedule
Live sessions
2-3 hrs / week
2 Live Sessions per week
Mon, Jun 1
6:00 PM—8:00 PM (UTC)
Wed, Jun 3
6:00 PM—7:30 PM (UTC)
Mon, Jun 8
6:00 PM—8:00 PM (UTC)
per week for the capstone project
1-3 hrs / week
Time commitment for project/homework
Optional weekly Q&A /office hours
1 hr / week
What you’ll be able to do after the course
By the end of the cohort, you will be able to:
Identify High‑Impact AI Opportunities
Spot where AI can truly improve customer outcomes (and where it won’t)
Evaluate AI ideas using customer value, signals, feasibility, and risk
Avoid “AI theater” and low‑impact experiments
Design AI UX That Users Trust
Understand core AI UX patterns (copilots, assistants, recommenders, agents)
Design interactions that manage uncertainty and build confidence
Handle errors, explanations, and human oversight correctly
Turn AI Bets Into Executable Product Plans
Translate AI opportunities into clear roadmaps
Use outcomes and OKRs to control risk and prove value
Align teams without endless debates or vague strategy slides
Lead AI Conversations With Confidence
Communicate AI trade‑offs clearly to stakeholders
Partner effectively with design, data, and engineering
Facilitate alignment when “no one really knows the answer yet”
Frequently asked questions
🧩The ALPHA™ Model: a practical thinking tool for AI product leadership
Throughout the course, you’ll use the ALPHA™ Model, a lightweight framework for leading AI work without heavy process or dogma:
Aim → Learn → Prototype → Harden → Amplify
Aim: define outcomes and AI bets that matter
Learn: combine customer insight with data signals
Prototype: design AI experiences before building them
Harden: manage risk, trust, and uncertainty
Amplify: scale what works and measure real impact
This model becomes a shared language you can take back to your team.
Pricing
$1,495 is reasonable, but AI buyers often ask:
“Why this over books, YouTube, tools?”
This is not content you watch. It’s judgment you practice—with feedback. Hussam and Dalibor have together more than 55 years of experience and share gladely with you from this experience.
Most AI mistakes happen at the decision level. That’s what this course is designed to fix. Don't let wrong decisions damage for you!
$1,495
USD