AI Strategy Playbook For Product Managers
Pranav Bhasin
Ex-Amazon AI Product Leader
Build AI products that stand out and deliver real value
"What's our AI strategy?"
You're being asked this question daily, but do you have a clear strategy? How do you know if your strategy is the right one? How can you deliver more impact, faster?
This course gives you a framework to do just that.
Stop shipping AI features and start building real advantage that drives real customer value.
Turn a vague "add AI to this product" mandates into a clear strategy you can defend to your team and your leadership.
Design products with learning loops that improve on their own, instead of static features you keep patching.
Learn how to think big with AI, and why most PMs stop one level too early.
Apply all of it, live, to a real product decision you bring, and leave with a concrete plan to move it forward.
Learn by applying the playbook on your own problem, with feedback in the room.
What you’ll learn
Move from managing features to building AI products that create durable advantage.
Spot AI opportunities that actually drive customer value, and eliminates the ones that are noise.
Zoom out to identify the real problem, not just the one you were handed.
Translate "add AI to this product" into a specific bet with a clear reason it wins.
Communicate "why it matters" in language your team and leadership will get behind.
Build learning loops and self-correcting systems instead of features you keep patching.
Start thinking in intelligence layers, not one-off releases.
Learn mental models and judgment frameworks to see the bigger picture.
Take bigger bets with less fear, because you can see the path to them.
Understand the trade-offs that are essential to drive good judgment.
Resist the temptation to spread yourselves thin, even when AI is doing the work.
Apply the playbook live to a real call you're stuck on.
Walk out with a concrete next step, not just notes.
Workshop agenda
Session 1: Why strategy is your biggest lever in AI
Goal: Understand why strategy is the most important aspect when execution is cheap.
Session 2: High judgment frameworks, Making durable AI product decisions
Goal: Move from vague AI mandates into durable strategy you can defend.
Session 3: Thinking big, Taking decisions in ambiguity
Goal: Apply proven frameworks to deliver more impact, in highly ambiguous situations.
Session 4: Agentic Loops, Designing products that get better on their own
Goal: Build agentic loops and self correcting systems.
Bonus Session: Bring your own product problem
Goal: Apply the frameworks live on your product and go back with concrete next steps.
Learn directly from Pranav
Pranav Bhasin
Ex-Amazon AI Product Leader
Who this workshop is for
PMs leading AI features, growth, or platform initiatives
PMs working to define AI strategy with senior leadership
Product-minded founders and Senior leaders who want to build meaningful AI products
What's included
Live sessions
Learn directly from Pranav Bhasin in a real-time, interactive format.
Lifetime access
Go back to course content and recordings whenever you need to.
Community of peers
Stay accountable and share insights with like-minded professionals.
Certificate of completion
Share your new skills with your employer or on LinkedIn.
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Frequently asked questions
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Reimbursement
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Everything L&D needs: email template, receipts, and certificate of completion.
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USD
12–6pm EDT