Productside Training

AI Product Management Training Course

AI is already part of your job, And PMs who can deliver with it (not just demo prompts) are the ones shaping strategy and influence.

In this hands-on course, you’ll cut through hype, sharpen your judgment, and apply AI to real product work: discovery, decisions, data, risks, and storytelling. You’ll finish with an AI Product Management Certification that proves you can lead AI initiatives confidently.

Format: Live online, cohort-based, instructor-led. (Small classes. Real coaching. Day-one usable.)

Who it’s for: PMs and product leaders who want to separate signal from noise, turn AI into business value, and stop building AI features no one asked for.

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Because the industry doesn’t need more AI theater. It needs PMs who can turn disruptive tech into customer and business outcomes.

We’ll teach you how to:

  • Spot real AI opportunities using our problem-first, outcome-led playbook.

  • Use AI responsibly, applying ethical checks, governance patterns, and risk modeling Legal will actually sign off on.

  • Work cross-functionally with Data, Eng, DevOps, and Security and do it credibly and effectively.

  • Create an AI business case that gets funded, using tiny bets, monetization options, and ROI-ready storytelling.

  • Use GenAI to work faster with clearer positioning, better hypotheses, better documentation, better team conversations.

You’ll walk away with an AI Investigations Workbook, reusable prompting patterns, templates, and a discovery-driven recommendation you can bring straight to your leadership team.

Less hype. More how.

This course gives you the practical, judgment-first skills to lead AI work responsibly and confidently: across discovery, strategy, validation, and stakeholder alignment. You’ll learn how to:

Cut Through AI Hype and Think Clearly

Build real AI literacy—what AI is, what it isn’t, where it breaks, and where it creates leverage. Learn to ground every AI decision in the problem space, not the novelty of the tech.

Use GenAI as a Strategic Partner (Not a Party Trick)

Structure prompts that clarify thinking, improve team conversations, and accelerate PM workflows. Create reusable prompt patterns you’ll actually use on Monday.

Turn AI Into Customer Insight

Use AI-augmented frameworks (JTBD, problem statements, pains/gains analysis) to surface opportunities worth solving—and articulate the “who/why” clearly to stakeholders.

Choose the Right AI Playing Field

Identify high-value AI plays—optimization, decision support, task reduction, enablement—and use proven industry analogues to craft defensible positioning for your AI concept.

Build a Data-Smart AI Strategy

Learn how AI depends on data: quality, pipelines, gaps, governance, and bias risks. Partner with data teams credibly and design a data flywheel that improves your AI over time.

De-Risk and Pressure-Test Your AI Bets

Spot feasibility, desirability, viability, and usability risks early. Assess external factors (regulation, market shifts, privacy constraints) and design mitigation plans before committing resources.

Validate With Tiny Bets, Not Costly Assumptions

Create solution hypotheses, design rapid experiments, storyboard concepts, and use lightweight validation methods (Concierge, Wizard of Oz, AI-generated content) to learn fast.

Make the Business Case for AI—Clearly and Confidently

Model monetization paths, estimate costs, and package your concept into a crisp go/no-go recommendation leadership will actually trust.

Leave With a Ready-to-Use AI Investigation Workbook

By the end, you’ll have a complete AI opportunity assessment—problems, outcomes, data realities, risks, hypotheses, experiments, recommendations—that you can bring straight into your next stakeholder meeting.

Yes—the certification is included.

You’ll take the AI Product Management Certification Exam (75 questions, 75 minutes, open-resource, two attempts) and earn a shareable Accredible badge for your résumé, performance reviews, and LinkedIn.

Why it matters:

  • Instructor-led Productside grads are 65% more likely to see career progression

  • 31% get promoted within a year

  • 22% see a salary increase

  • 13% land their first PM role post-certification

Because PMs who can speak confidently about AI (and back it up with frameworks) move faster than those who wait for “more clarity.”

We keep classes small so you actually get coached.

Expect:

  • Real-time instructor feedback

  • Team collaboration with other PMs

  • Reusable templates you’ll use in your day job

  • Structured momentum so you finish what you start

No videos collecting dust. No “learn at your own pace (and never finish).”

AI Product Managers need to make the right judgment calls.

We’ll help you:

  • Apply ethics, bias mitigation, and privacy checks PMs can actually use

  • Identify regulatory and compliance considerations early

  • Create guardrails that keep AI trustworthy without slowing teams down

  • Evaluate unknowns using PESTEL, viability, feasibility, desirability, usability

Responsible by default. Strategic by design.

By the end of the course, you’ll have:

  • An AI Investigation Workbook customized to your product

  • A clear AI play aligned to user needs and business outcomes

  • A solution hypothesis backed by experiments and data

  • A recommendation your execs can take seriously

  • Reusable prompt patterns, templates, and conversations

  • A validated Credible certification badge

  • Confidence to lead AI initiatives with clarity (not guesswork)

This is the class that helps you go from “AI-curious” to “AI-capable.”

Get certified. Instructor-led training graduates cite a 65% higher chance of promotion.

Live Online

Product Management CourseCourse DateCost

AI Product Management

M/T/W/TH, April 27, 2026 - April 30, 2026, 11am - 3:30pm ET
$2,200.00
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AI Product Management

M/T/W/TH, June 1, 2026 - June 4, 2026, 9am - 1:30pm ET
$2,200.00
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AI Product Management

M/T/W/TH, July 27, 2026 - July 30, 2026, 11am - 3:30pm ET
$2,200.00
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Hear from Our Graduates

Kimberly Johnson

Product Manager at The Home Depot

“I enjoyed the continuous learning and feedback. Being in a small group allowed us to be more interactive. This was the best business class I’ve had in a long time.”

Chris Barylski

Product Manager at Otava

“I would absolutely recommend that anyone either thinking about moving into the product management field or new to product management, take a look at Productside and the Optimal Product Management course.”

Eric Haar

Transition Specialist at CreativeOne

“The best part of training were the trainer’s stories, which really helped frame the content, and the group breakouts, which really helped solidify the concepts in a concrete way.”

Danielle Chapleau

Product Supply Manager at Card Kingdom

“I got everything I needed out of the class. I feel ready and prepared to take on my role with more context into how I should be approaching new and retiring products.”

Patrick Perl

Customer Experience Leadership at H&R Block

“The course highlighted that AI products should be focused on solving a problem, not just reducing expenses.”​

Jennifer Temple

Sr. Pricing Product Manager at RingCentral

“I got way more out of this class than I was expecting in how to apply Agile principles in my day job and communicate more effectively with stakeholders.”

Alexander Rojinski

Product Manager at Transplant Connect

“Taking the course was like completing a mini-MBA but focused entirely on Product Management and the Product Lifecycle.”

Chris Frandsen

CEO at AIPMM

“The Optimal Product Management course is well-structured and easy to navigate, making it perfect for busy professionals. I could easily fit in a module during lunch or a short break.”

Krasimir Dimitrov

PO/PM/Senior BA at Astea

“The launch readiness content is extremely relevant and valuable, providing techniques that can be directly applied to real-world scenarios.”

Nicole Torrillo

UCaaS Product Manager at Northland Communications

“I really like the resource templates provided. They explain the steps well, and the problem statement template makes defining the problem easier!”

Mike Freier

Principal and Lead Consultant at Product Management Consulting Group Inc.

“The AI course gave me hands-on experience with advanced prompting and buyer personas, which I can directly apply in my day-to-day work to improve market intelligence and storytelling.”

Sara Athanas

Digital Services Executive at Vodafone

“The Productside Blueprint provided a fresh perspective, emphasizing the importance of a customer-centric approach in product development.”

William Campbell

Head of Design at Actionstep

"“Roger is AWESOME. From his own war stories, to his ability to involve everyone, give time for questions and clarifications by giving more examples. Truly impressive.”"

Why Join Productside?

We don’t just teach product management – we’ve lived it. Our instructors have led products at Amazon, Microsoft, and Honeywell, and we’re here to guide you every step of the way.

  • Small Class Sizes: Less than 20 participants for a personalized experience.
  • Hands-On Learning: Practical exercises over theory, so you can apply what you learn.
  • Real-World Insights: Proven frameworks, no fluff.

Download the Syllabus Now

Frequently Asked Questions

You’ll apply GenAI (e.g., ChatGPT/Gemini) to discovery, strategy, roadmapping, prioritization, and stakeholder communication—using practical prompts and the AI Investigations Workbook you can reuse at work.

Yes. Upon completion you’ll take Productside’s AI for Product Managers Certification Exam and receive a shareable Accredible badge to validate your expertise. (AIPMM does not currently offer an AI-specific certification.)

This is a live online, instructor-led course delivered over multiple sessions with a mix of group and individual exercises.

Graduates use the certification and workflows to accelerate responsibility and role expansion, as they’re better equipped to drive AI-based product outcomes and communicate the business case.

Yes. The course is designed for day-one application. You’ll complete the AI Investigations Workbook during class to communicate your AI strategy internally.