Everything an AI PM knows at Anthropic
A course built from 604 real AI PM job postings, not one instructor's opinion. Every chapter's written lessons and videos are updated as the market moves, so the course never goes stale.
The course, and everything around it.
- 103 AI PM lessons. 14 chapters, each with a video.
- 550+ Graded case studies. 530+ set at real companies.
- Unlimited Mock interviews. Type or talk, scored feedback.
- Unlimited Resume reviews. Tailored to the exact JD.
- 217 AI PM concepts. Mapped in the knowledge graph.
- 100+ Real JDs to mock against. OpenAI, Anthropic and more.
- 4,100+ Interview questions. Across every PM round.
- 90+ Job boards to search PM jobs. Across 300,000+ companies.
- 240+ Podcast summaries. New episodes every week.
- 110+ Book summaries. Chapter by chapter.
- 120+ PM interview experiences. Google, Meta, Microsoft and more.
- 100+ PM newsletters. Follow and read in one feed.
- Free AI PM game. Agents of Chaos: run an AI product team.
The course is built from 604 job descriptions at 95 companies.
- Anthropic
- OpenAI
- Scale AI
- Perplexity
- Cohere
- Sierra
- Harvey
- Glean
- Decagon
- Lovable
- Abridge
- Replit
- Suno
- Midjourney
- Ramp
- Linear
- Figma
- Vercel
Updated again and again since launch, so it never goes stale.
- Podcasts and leader talks
- Live job postings
- Model provider docs
Here is what a chapter looks like.
- Watch. You start with a narrated video we made for this lesson, which walks through the idea step by step.
- Read. The lesson note explains the idea in plain language, why it matters to a PM, and cites every source behind the claim.
- Apply. You answer a PDF case study in a real product, and the model scores each criterion, cites draft evidence, and shows a stronger rewrite.
The AI PM knowledge graph
What people ask before starting.
Do I get the whole course right away?
Yes. 14 chapters, 103 lessons, and 32 hours are live now. Thirteen of fourteen chapters end in a graded case study. The hiring chapter is different. What changes after purchase is the material, not whether it exists.
Why take this instead of Maven, Coursera, or YouTube?
A cohort usually teaches one instructor's style, a platform course stays general, and a playlist gives you no path. This course starts from 604 job postings across 95 companies, then turns that demand into a structured path with source material and practice.
Do I need a technical background to follow this?
No AI background is needed. It starts with core product work, then layers AI in the same order, explaining context windows, tokens, cost per million tokens, latency, evals, agents, and retrieval. You do not need prior model provider vocabulary.
Is there a free plan?
Yes. Free never expires and needs no card. You get the first lessons of the course, one mock interview and one resume review a day, plus the blog, book summaries, podcast summaries and question bank.
What does Pro add?
The whole course, unlimited mock interviews and resume reviews, graded case studies and more newsletter follows. The pricing page shows Free and Pro side by side.
How often is the course updated?
Every week. New job postings, leader talks and model provider docs are checked, and lessons, videos and concepts are added, rewritten or retired. Every change is dated in the public changelog.
Can anyone see the changelog?
Yes. The full changelog is open to everyone, free or paid, signed in or not. Open it from the course page or the homepage.
Are the videos updated too, or only the text?
Both. Each chapter's written lessons and its videos are refreshed when the material changes, so the video never drifts from the lesson.
How long does the course take?
About 32 hours across 14 chapters. Lessons are short and self paced, so most people do a few a week alongside a job.
How do the mock interviews work?
Pick a real job description, then answer by typing or talking. You get scored feedback on every answer, tied to what that role actually asks for.
What is the resume review?
Upload your resume and a job description. You get a review tailored to that exact role, with the gaps to close before you apply.
What is the AI PM game?
Agents of Chaos is a free browser game where you run an AI product team through a launch, making the calls an AI PM makes every day.
Do I get a certificate?
Yes. Finish every lesson in a chapter and you earn that chapter's certificate; finish all 14 chapters and you earn the course certificate. The graded assignments are optional. Each certificate carries your name (you can edit it), what you can now do, and a link and QR code anyone can use to verify it. Download it as a PDF or PNG, or add it to LinkedIn in one click.
Can I cancel or get a refund?
You can cancel any time from your profile. Refunds are available within 7 days if you have completed no more than two chapter assignments. Email arpit@allthingspm.app.
Who is this course for?
Product managers moving into AI, PMs already shipping AI features, and people preparing for AI PM interviews at companies like OpenAI, Anthropic and Google.
The curriculum
- 01 Making AI Product Decisions9 lessons, 230 min
- 02 Using SQL and Logs5 lessons, 92 min
- 03 Prototyping AI Products With Coding Tools6 lessons, 103 min
- 04 Discovering and Sizing AI Opportunities8 lessons, 231 min
- 05 Writing an AI PRD5 lessons, 85 min
- 06 Designing AI Agents and Tooling10 lessons, 184 min
- 07 Designing AI UX and Oversight7 lessons, 107 min
- 08 Designing Evals for AI Products9 lessons, 143 min
- 09 Measuring AI Product Economics9 lessons, 149 min
- 10 Deploying AI Products in Enterprises10 lessons, 151 min
- 11 Building Multimodal AI Products6 lessons, 114 min
- 12 Defining AI Guardrails and Agent Security7 lessons, 126 min
- 13 Leading Cross Functional AI Teams6 lessons, 102 min
- 14 Interviewing for AI PM Roles6 lessons, 86 min