The Claude-Powered PM
Freddy Alcántara
Founder, o1 Labs | AI + Product Educator
Ship a Real AI Product Feature in Three Weeks, Without Writing Code
Your manager, your head of product, or someone in the C-suite wants an AI strategy "in the product by next quarter." You are the product manager who has to make it real, and no one handed you a method. In three weeks, this course gives you one: a repeatable process for taking any fuzzy AI product problem from a vague ask to a working prototype and a stakeholder-ready pitch, using the full Claude suite as your team. You will not watch someone else build. You will build, every week, and walk out with proof you can do it again.
What you’ll learn
Go from a vague executive AI ask to a working prototype and stakeholder pitch in three weeks, using Claude as your team.
Translate jargon like "figure out our AI strategy" into plain language your team can act on.
Pressure-test whether AI is actually the right solution, or whether a simpler fix wins.
Write a one-page problem brief your engineers, designers, and execs all read the same way.
Business, product, and AI-specific metrics that separate real signal from vanity metrics.
Set a quality bar for model behavior, so "good enough to ship" stops being a guess.
Decide upfront what evidence would tell you to kill the feature, not just scale it.
Use Claude Code and Claude Design to build in a single afternoon, no coding required.
Turn the prototype into a stakeholder demo that answers the budget question before it is asked.
Leave with a reusable prompt and spec pack you can point at your next AI problem.
Learn directly from Freddy
Freddy Alcántara
Founder & CEO, o1 Labs. 2,000+ professionals trained, 800+ in applied AI.
Who this course is for
Entry-to-mid-level PMs told to "figure out AI" with little guidance and no roadmap for where to start.
Aspiring PMs who want a portfolio piece proving they can ship an AI feature, not just talk about one.
Designers, analysts, and engineers doing product work who want the AI method, not just the tooling.
Prerequisites
One real AI problem you want to solve
Every exercise runs on your own problem, from work or a side project. Bring a fuzzy ask and leave with something you can use.
A Claude account on a paid plan
You need Claude Code and higher usage limits to build during live sessions. A short setup checklist goes out before week one.
Comfort with ambiguity, not with code
No engineering background needed. You do need a willingness to think out loud and change your mind when the evidence says so.
What's included
Live sessions
Learn directly from Freddy Alcántara 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.
Maven Guarantee
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Course syllabus
5 live sessions • 4 lessons • 3 projects
Week 1
Aug
15
Workshop 1: Interrogating the ask
Week 1 deliverable: your one-page concept brief
Week 2
Aug
19
Optional office hour: sharpen your concept brief
Aug
22
Workshop 2: Building in public
Week 2 deliverable: your prototype package
Schedule
Live sessions
1-3 hrs / week
A 90-minute working session every Saturday, plus an optional 60-minute office hour midweek where I give live feedback on what you are building.
Sat, Aug 15
3:00 PM—4:30 PM (UTC)
Wed, Aug 19
4:00 PM—5:00 PM (UTC)
Sat, Aug 22
3:00 PM—4:30 PM (UTC)
Projects
3 hrs / week
You build one AI feature of your own across the three weeks. This is where most of your time goes, and where the method actually becomes yours.
Why this is not another AI tutorial
There is no shortage of free content about AI. There is a real shortage of a method you can defend in a room full of skeptical stakeholders.
Most AI courses teach you tools. You watch a demo, you feel capable for a week, and then a vice president asks what problem this solves and how you will know it worked, and the tool knowledge does not help you.
This course is built the other way around. You bring one fuzzy AI ask. Every week you take it one step further: from vague request to sharp problem statement, from problem statement to a success framework with metrics you can defend, from framework to a working prototype and a pitch. You build in the live session, not after it. I give feedback while you are still in the mess, which is when feedback actually changes the outcome.
By the end you have artifacts you can show and a repeatable process you can run again on the next problem, without me.
Frequently asked questions
A note from Freddy
I have spent twenty years in product, design, and strategy across finance, media, defense, and startups, and the last five teaching it to more than two thousand people at General Assembly. The pattern I keep seeing is the same everywhere: smart, capable product people freeze on AI work, not because the technology is beyond them, but because nobody handed them a method.
That is what this course is. Not hype, not a tool tour. A method you can run on Monday, with me in the room while you run it the first time.
I teach the way I like to learn: plain language, real examples, and a room where you can say "I have no idea what I am doing" without it costing you anything. Come in assuming you are wrong about something important. That is where the good work starts.
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