Courses / Live bootcamps
AI Product Manager Bootcamp
Spec, ship and measure six AI features with real engineers.
- weeks, live on Zoom
- 12
- hours a week
- 15
- deployed projects
- 6
- minutes 1-1, every week
- 30
Who it is for, and what you receive.
Product, design and engineering people who want to spec, ship and measure AI features with real engineers. No code required.
Before you start
Product, design or engineering experience; no code required.
Skills
- product management
- AI literacy
- prototyping
- experimentation
- evals
- strategy
A week, about 15 hours
- Live on Zoom
- 4h
- Recorded lessons and exercises
- 6h
- The project
- 5h
- 1
Six deployed projects
Each graded by Nova against a published rubric and signed off by the instructor at the gate.
- 2
The recorded lessons
The track's lessons and exercises, graded line by line, open for twelve months after the cohort ends.
- 3
Live on Zoom every week
A 90-minute live code review, a 60-minute squad lab, 60 minutes of office hours, and a 30-minute 1-1 with your instructor.
- 4
Your hiring plan
Opened in week 1 and reviewed in every 1-1: target roles, the gap map, the proof list, weekly actions, an interview log, the outcome.
- 5
The record
Every grade and every project with its repository at square1ai.com/u/{handle}, and the recording of your viva, verifiable by any employer.
- 6
The certificate
A credential ID that resolves at square1ai.com/verify to the real completion.
- 7
The hiring sprint
Weeks 11 and 12: CV and portfolio from graded work, applications, mock interviews scored against the role, demo day.
- 8
Nova for twelve weeks
A tutor with every submission of yours in its memory, at 2am as well as in class.
Twelve weeks in six blocks.
Each block teaches for a week, then you build and deploy a project, then a gate checks it before the next block opens. The project and its gate are the block's record entry.
Live time each week on Zoom: a 90-minute class where the instructor reviews real submissions, a 60-minute squad lab, 60 minutes of office hours, and your own 30-minute 1-1. Nothing is lectured live; the recorded lessons do that.
- 1
AI literacy for PMs
Weeks 1 to 2Week 1
AI literacy for PMs
- What models can and cannot do
- Reading an eval
- Cost, latency and quality trade-offs
You build: A feature spec with eval criteria
Week 2
Project 1: the spec
- Measurable success
- Engineering review
You build: A spec reviewed by an engineer
Project 1, the gate at week 2
The spec
Spec an AI feature with success criteria an engineer can measure.
You hand in
- Spec
- Eval criteria
- Engineering review notes
The gate
The spec's success metric can be measured.
- 2
Discovery
Weeks 3 to 4Week 3
Discovery
- Finding AI-shaped problems
- Prototyping with no code
- User research on AI features
You build: A prototype
Week 4
Project 2: the prototype
- Testing with users
- Findings that change the spec
You build: A prototype tested with five users
Project 2, the gate at week 4
The prototype
Prototype it without code and test it with five users.
You hand in
- Prototype
- Research findings
- Revised spec
The gate
Findings change the spec.
- 3
Shipping
Weeks 5 to 6Week 5
Shipping
- Working with an AI engineering team
- Guardrails and policy as product decisions
- Launch
You build: A feature in build; squads form
Week 6
Project 3: shipped
- Launch checklists
- Evals running
You build: A feature shipped with a partner engineer
Project 3, the gate at week 6
Shipped
Ship the feature with a partner engineer, evals running.
You hand in
- Launched feature
- Guardrail decisions
- Launch checklist
The gate
The feature is live with its eval running.
- 4
Measuring
Weeks 7 to 8Week 7
Measuring
- Metrics for AI features
- Experiments
- Reading production traces
You build: An experiment
Week 8
Project 4: the experiment
- Decision memos
- Reading data honestly
You build: An experiment on the shipped feature with a memo
Project 4, the gate at week 8
The experiment
Measure it and decide.
You hand in
- Experiment design
- Results
- Decision memo
The gate
The decision follows from the data.
- 5
Strategy
Weeks 9 to 10Week 9
Strategy
- AI product strategy
- Build, buy, fine-tune
- Roadmaps under uncertainty
You build: A strategy draft
Week 10
Project 5 and the viva
- The strategy and roadmap
- Defending the bets
You build: An AI product strategy and roadmap; the viva
Project 5, the gate at week 10
The strategy
An AI product strategy and roadmap for a real product.
You hand in
- Strategy
- Roadmap
- Build-buy-fine-tune analysis
The gate
The viva: defend the strategy and its bets.
- 6
Employer brief and hiring sprint
Weeks 11 to 12Week 11
Employer brief
- A real problem from a hiring partner, in squads
- A partner's product problem
- Working to someone else's definition of done
You build: The employer brief in progress
Week 12
Hiring sprint
- CV and portfolio built from graded work
- Applications and follow-ups in the hiring plan
- Mock interviews scored against the role
- Demo day
You build: Project 6 delivered; demo day
Project 6, the gate at week 12
Employer brief
A partner's product problem.
You hand in
- The brief delivered
- Demo day
The gate
The brief's owner accepts the result.
What you can do by week 12.
Six shipped specs, prototypes, features and memos, and the AI literacy to make the right call in a room full of engineers.
- 1
Explain what models can and cannot do, read an eval, and trade off cost, latency and quality.
- 2
Find AI-shaped problems, prototype without code and run user research on AI features.
- 3
Ship an AI feature with an engineering team, treating guardrails and policy as product decisions.
- 4
Define metrics for AI features, run experiments and read production traces.
- 5
Write an AI product strategy and a roadmap under uncertainty, including build, buy or fine-tune.
- 6
Defend a strategy and its bets to a panel.
Roles this prepares you for
- AI product manager
- Product manager
- Technical product manager
- Product lead (AI)
No placement rate is shown, because there are no graduates to count yet. The roles above are what the projects are built for.
Your record at week 12.
Every exercise and project is graded by Nova against a rubric you can read, and every grade is kept on one page an employer can open and run. This is what the programme writes to it.
- Graded, line by line
- Nova reads every submission against the brief and the rubric and returns a score, what you did well and what to fix.
- Six gates
- A block does not open until the previous project passes its gate. You always know where you are and what is next.
- A weekly 1-1
- Thirty minutes with your instructor, who has already read your code before the call.
- One page an employer can run
- Every grade, project and the viva recording at /verify. An employer opens it, runs the code and watches you defend it.
Record, AI Product Manager Bootcamp
Example
- Week 2Graded, gate signed
The spec
The spec's success metric can be measured
- Week 4Graded, gate signed
The prototype
Findings change the spec
- Week 6Graded, gate signed
Shipped
The feature is live with its eval running
- Week 8Graded, gate signed
The experiment
The decision follows from the data
- Week 10Graded, gate signed
The strategy
A viva: defend the strategy and its bets
- Week 12Graded, gate signed
Employer brief
The brief's owner accepts the result
- Weeks 1 to 12Kept
Twelve 1-1 notes
What your instructor saw in your work each week, and what you agreed to do next.
- Week 12Kept
Your hiring plan and its outcome
Target roles, the gap map, applications, interviews and where you landed.
The entries, not the grades: those are yours to earn. The page lives at /verify and an employer needs no account to open it.
8 entries, twelve weeks. One email when applications open.
How we help you find a job.
The last block is not curriculum. It is the hiring sprint, and the proof you built in the ten weeks before it.
- 1
Your hiring plan, from week 1
Six parts you and your instructor keep: target roles, the gap map from real postings, the proof to send, weekly actions, an interview log, the outcome. Read before every 1-1.
- 2
The hiring sprint
Weeks 11 and 12: CV, portfolio, applications, mock interviews, and demo day in front of hiring partners.
- 3
A record an employer can run
Your six deployed projects and the recorded viva on /verify. An employer opens it, runs the code and watches you defend it.
- 4
The career agent
Paste a real job posting at /career and it maps the role to your graded work and what to do next.
- 5
The roles directory
Every role we prepare people for, what it pays and what it asks, at /roles.
One email when applications open.
Fifty seats, one instructor, twelve weeks. The waitlist hears the date and the price first, and nothing is charged before the cohort exists.