AI Product Leader & Builder

Imagine your product work flowing from discovery to strategy, definition, delivery, launch and learning, with AI helping you connect the dots along the way.
Today, much of a PM's time goes into fragmented tasks: finding context, synthesizing feedback, preparing decisions, writing updates and keeping stakeholders aligned.
What if you could redesign that work?
In this four-week, hands-on program, you'll build your own AI Product Management Operating System using Claude Code.
You'll map your workflows, identify where AI adds value, create reusable product context, build an AI Thinking Partner, connect specialized agents, automate recurring work and prototype a product opportunity.
Each weekend, you'll add working capabilities to the same system, using your own product or program work or a supplied practice case.
You'll also learn to evaluate AI outputs, preserve evidence, challenge assumptions and establish human checkpoints for consequential decisions.
By the end, you'll have a working personal AI PM OS, practical experience building with AI, and a repeatable approach to improving how you work.
Your expertise stays at the center. AI helps the work flow.
Transform your PM workflow with AI, from problem discovery, strategy, execution, launch, learning, while keeping product judgment with you.
Map your current workflow across the product lifecycle and identify high-leverage opportunities for AI.
Decide what to automate, delegate, augment, or keep human-led.
Identify context debt, repetitive work, and decision bottlenecks that AI can help reduce.
Use AI to frame problems, challenge assumptions, explore alternatives, and pressure-test decisions.
Synthesize customer, market, competitive, stakeholder, and product evidence.
Move from research → insight → opportunity → strategic options while keeping decisions human-owned.
Translate customer problems and product ideas into clear concepts, flows, and prototype requirements.
Use AI-assisted tools to create functional prototypes and lightweight product experiences.
Prototype, test, learn, and iterate before committing significant resources.
Turn recurring PM work into structured, repeatable AI workflows.
Understand when you need a prompt, workflow, automation, or agent.
Design context, inputs, outputs, tools, constraints, and human checkpoints into your workflows.
Recognize common AI failure modes, including hallucinations, bias, overconfidence, and shallow reasoning.
Apply verification practices to research, analysis, recommendations, and customer-facing outputs.
Establish clear boundaries for human review, privacy, security, and responsible AI use.
Connect reusable context, thinking partners, workflows, automations, agents, and prototypes into your own system.
Apply AI across execution, stakeholder alignment, launch, and post-launch learning.
Create a practical 30-day plan to embed your AI PM OS into everyday work.

AI Product Leader (Oracle, S&P Global, Weill Cornell) | AI Strategist & Founder
The Experienced PM
You’re a PM with solid product fundamentals, but you want to rethink how you work and stay ahead as AI changes the role.
The AI-Curious PM
You’re already experimenting with ChatGPT, Claude, or other AI tools, but your workflow still feels fragmented and ad hoc.
The Ambitious Product Leader
You’re a product leader looking to become dramatically more effective without sacrificing product judgment.

Live sessions
Learn directly from Priyanka Shetty 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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Reimbursement
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Everything L&D needs: email template, receipts, and certificate of completion.
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Run a cohort for your org
A dedicated cohort with a custom schedule and curriculum, tailored to your team.
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