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AutoML

By Google Cloud

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Productivity4 steps

Draft-First LLM Augmentation

Never ask the model to do your job — write your version first, then have it improve it.

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Innovation4 steps

Fake the AI Before You Build It

Never train a model for an MVP — prototype the AI's output and test demand first.

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Influence4 steps

The Adjacent-Precedent De-Risk Pitch

Win leadership buy-in for a big AI bet by anchoring it to a past bet that already worked.

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Self-Mastery5 steps

The AI PM Upskilling Path

Learn the fundamentals, shadow a research scientist an hour a week, and build one model end to end.

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Leadership4 steps

The Four Challenges of AI Product Management

Uncertainty, pivots, data scarcity and a broken promo path — the four taxes of the AI PM role.

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Strategy4 steps

The Model Launch Bar

With probabilistic products, the PM — not the scientist — decides what accuracy is good enough to ship.

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Strategy4 steps

The Shiny Object Trap (Problem-First AI)

A regular PM ships the right product; an AI PM solves the right problem.

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Entrepreneurship6 steps

Treat Your Course Like a Product

Hypothesise the audience, interview them, iterate the ICP, and run three weeks — not one.

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