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AI Masterclass for Product Managers

Event artwork for AI Masterclass for Product Managers

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About this event

What to expect

ProductTank Montréal's AI Masterclass cuts through the hype to deliver what product managers actually need: real workflows, practical implementations, and honest examples from PMs actively using AI in production. If you're tired of theoretical AI talks and vague "just use AI" advice, this extended-format session in Montreal is designed for you.

What Makes This Different

This isn't your typical 15-minute lightning talk followed by a sales pitch. ProductTank Montréal is dedicating 30 minutes to each speaker, giving them the space to walk through actual AI implementations — the messy parts, the lessons learned, and the workflows that actually work in production environments. You'll see real examples from product managers who have moved beyond experimentation and integrated AI into their daily product development cycles.

Who Should Attend

This masterclass is ideal for product managers, product owners, and product leaders looking to understand how AI can practically enhance their workflows. Whether you're evaluating AI tools for your team, struggling to move from pilot to production, or simply want to see what's actually working in the field, you'll gain actionable insights you can implement immediately.

The Format

The evening begins with doors opening at 5:30 PM, followed by welcome remarks at 6:30 PM. The core content — two 30-minute presentations showcasing real AI workflows — runs from 6:45 PM to 7:15 PM. After community announcements, the event transitions into networking sessions interspersed with a Q&A, giving you multiple opportunities to connect with speakers and fellow attendees. The structured format ensures you get deep technical content while still having time to discuss implementations and challenges with peers.

Real Workflows, No Fluff

Expect to see demonstrations of actual AI integrations in product management workflows — from research and analysis to feature prioritization and stakeholder communication. Speakers will share what worked, what didn't, and the practical considerations (cost, accuracy, team adoption) that don't make it into most AI presentations. This is the longer-form, detailed exploration that's been missing from the "AI in product" conversation.

The event takes place at Deck HQ on Peel Street, providing a professional venue for this focused learning session. With networking breaks built into the agenda, you'll have plenty of opportunity to discuss specific use ca

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