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AI product discovery combines story-based interviews with reading conversation logs, tickets and traces, then roots every idea in one user behavior you can move. AllthingsPM teaches it as a full course chapter with a graded case.
AI product metrics are the four layers that connect a model to money: quality, adoption, task success and unit economics. This guide shows PMs how to build each layer, and AllthingsPM teaches it as a full course chapter with graded cases.
AI UX design patterns make a model's mistakes cheap to spot, fix and route around: pick the right surface, set the level of autonomy, gate irreversible actions, cite claims and turn the thumbs-down into an eval row. AllthingsPM teaches all seven in chapter 7 of its AI PM course.
The All-In Podcast is a weekly markets, tech and AI show hosted by Chamath Palihapitiya, Jason Calacanis, David Sacks and David Friedberg. For PMs, the best recent episodes cover systems of record in the agent era, Flock's trust decisions, Jensen Huang's platform strategy and Satya Nadella on multi-model architecture. AllthingsPM summarizes 19 of them into PM lessons.
GrowthSchool sells a 3 hour Product Management With AI workshop (₹499) and a 14 week PM Career Accelerator (₹29,499 to ₹79,999). AllthingsPM is the better buy for most PMs: a 103 lesson AI PM course, JD based mock interviews and 4,122 real questions for ₹8,400 a year, with a free tier.
IBM's AI Product Manager certificate on Coursera is 10 beginner courses of PM basics plus generative AI and prompting. AllthingsPM teaches modern AI PM work (evals, agents, AI PRDs) from 604 real job postings and adds JD-based mock interviews, for $108 a year with a free tier.
The best AI product management books in 2026 are Building AI-Powered Products by Marily Nika, AI Engineering by Chip Huyen and The Art of AI Product Development by Janna Lipenkova. Pair them with AllthingsPM, an AI PM course built from 604 job postings and updated weekly.
The best AI tools for product managers in 2026 start with AllthingsPM, an AI PM course built from 604 real job postings with mock interviews from any job description, then ChatGPT, Claude, Cursor, Lovable, ChatPRD, Granola and Perplexity for daily work.
A golden dataset is a small, reviewed set of real inputs with agreed pass criteria that you run on every change to your AI feature. Start with 20 to 50 cases drawn from real failures, label them pass or fail, and grow the set from production. AllthingsPM teaches the full method in its Evals chapter.
The best free alternative to a paid AI PM certification is AllthingsPM: free AI PM lessons built from 604 real job postings, a free JD mock interview every day and 4,122 real questions. For a free credential, add Pendo's AI-native PM badge or a Coursera certificate with financial aid.
The best HelloPM alternative is AllthingsPM: an AI PM course built from 604 real job postings plus mock interviews from any job description, for INR 8,400 a year with a free tier, against INR 75,000 for HelloPM's live program. NextLeap, Maven, Pendo and Coursera cover narrower needs.
Eight human-in-the-loop design patterns for AI products, from approval gates to escalation triggers, with when to use each, what the PM owns, and the AllthingsPM course lessons that teach them.
GoPractice's AI/ML Simulator is a well made, 60 hour, text based ML simulation for $1,190. For most PMs who want an AI PM job, AllthingsPM at $108 a year gives an AI PM course plus JD based mock interviews, 4,122 questions and resume review.
Kellogg's Professional Certificate in AI-Enabled Product Management is a five month, $7,025 general PM program; MIT xPRO's Designing and Building AI Products and Services is a ten week, $3,200 technical AI design course. AllthingsPM teaches AI PM from 604 real job postings, with JD-based mock interviews, for $108 a year.
Start with prompt engineering, add RAG when the model lacks your facts, and fine-tune only when behaviour stays inconsistent after both. AllthingsPM teaches this decision in its AI PM course and drills it in mock interviews.
An AI feature's real cost is its cost per successful task: tokens per attempt, times attempts, plus the cost of every failure, divided by the success rate. This guide shows the math with September 2026 model prices, and AllthingsPM teaches it in a graded course chapter.
Voice AI product management comes down to four decisions: cascaded or speech-to-speech, the latency budget, the spoken turn, and the per-minute bill. AllthingsPM teaches all four in its AI PM course and lets you rehearse them in voice mock interviews.
A free AI agent spec template for product managers: goal, scope, tools, tool contracts, risk levels, stop conditions, escalation and evals, with a worked tool contract and the AllthingsPM course lessons that teach each part.
A free LLM evaluation template for product managers: success criteria, a golden dataset, graders, judge validation, thresholds and a release gate, with a worked example and the AllthingsPM course chapter that teaches each step.
AI fluency for a product manager means you delegate the right work to AI, describe it well, judge the output, and own the result. Score yourself on this 8-row rubric, then close the gaps with the AllthingsPM AI PM course.
Duke's Coursera specialization teaches classic machine learning for PMs in three courses and about 51 hours. AllthingsPM teaches modern AI PM work (evals, agents, AI PRDs) from 604 real job postings and adds JD-based mock interviews, for $108 a year with a free tier.
AllthingsPM beats Product Faculty's AI Product Management Certification for most people chasing an AI PM job: a course built from 604 job postings plus mock interviews from any job description for $108 a year, against $5,000 for the Maven cohort.
For most people looking for a Product School alternative, AllthingsPM is the better value: a 103 lesson AI PM course built from 604 real job postings, mock interviews from any job description and 4,122 real questions for $12 a month or $108 a year. Product School's AI Product Management Certification costs $2,999 for 12 live hours.
The best AI PM interview prep resource is AllthingsPM: real AI product manager interview questions from OpenAI, Anthropic and 260 companies, each with an answer guide, and scored mocks built from any job description. Add a guide, a book and one coach session.
The cheapest complete alternative to a $2,500 to $5,000 AI PM cohort is AllthingsPM: an AI PM course built from 604 real PM job postings plus mock interviews from any job description, for $108 a year. Free and low cost options for each thing a cohort promises are listed below.
Duke's AI Product Management Specialization on Coursera is a solid, beginner friendly grounding in classic machine learning, rated 4.7, but it has no generative AI, no LLM evals and no interview practice. AllthingsPM covers those gaps.
Of the three Coursera AI PM certificates, IBM covers the most generative AI, Duke teaches classic machine learning and Microsoft is mostly enterprise PM basics. None of them includes interview practice.
An LLM predicts one token at a time, reads only what fits in its context window, and samples with a temperature setting. AllthingsPM explains all three in plain PM terms, with free course lessons and real interview questions to practise.
IBM's AI Product Manager certificate on Coursera is a solid beginner credential: 10 courses, about 126 hours, rated 4.7. It has no interview practice. AllthingsPM adds an AI PM course built from 604 job postings plus JD-based mock interviews for $108 a year.
Marily Nika's AI Product Management Bootcamp on Maven costs $2,500 for a 5 to 6 week live cohort with 19 live sessions, a capstone and engineering help. It is worth it if you want a shipped project and a network; for interview prep on your own money, cheaper options cover more.
Product Faculty's AI Product Management Certification is no longer $1,995: the Maven cohort now lists at $5,000. It is a strong live cohort, but for getting an AI PM job AllthingsPM gives you a job-built course plus JD mock interviews for $108 a year.
A product manager can make a first OpenAI API call in about fifteen minutes: get a key, set it as an environment variable, send one curl request to the Responses API, and read the usage block to learn what it cost. AllthingsPM teaches this in a free course lesson.
Product Faculty's AI PM Certification costs $5,000 for a 3 to 6 week cohort; Marily Nika's AI PM Bootcamp costs $2,500 for 5 to 6 weeks. For getting hired, AllthingsPM beats both: an AI PM course built from 604 job postings plus JD mock interviews for $108 a year.
We read 69 Staff or Principal and 92 Senior PM job descriptions at 83 AI-era companies. Staff AI PM roles ask for a median 8 years versus 5, and far more influence, ambiguity, evals and multi-team scope.
The a16z podcast (now The a16z Show) is mostly investor talk, but 33 recent episodes hide sharp product lessons on wedges, evals, agents, pricing and when to kill a product. AllthingsPM summarizes each one and turns the lessons into course lessons and mock interviews.
In 2026 OpenAI's product leaders used podcasts to say build for the model two to three months out, steer agents instead of rowing, focus hard and keep design human where there is no precedent. AllthingsPM summarizes the key episodes so you can read all four in about 40 minutes.
Most AI product manager jobs are in San Francisco: 67% of the 116 live AI PM postings in the AllthingsPM jobs catalog list the Bay Area, 28% list New York and 8% list London. Only 2% are remote eligible.
The best places to find AI product manager jobs in 2026 are AllthingsPM's Resume Job Match and jobs catalog (116 live AI PM roles at 18 AI companies, each with a mock), the labs' own careers pages, and startup boards like Wellfound and YC's Work at a Startup.
AI evals are the tests that decide whether an AI feature is good enough to ship. This guide gives PMs the full method: trace reading, failure taxonomy, golden sets, LLM judges and launch gates.
The biggest AI lessons from Lenny's Podcast for PMs: build for the model two to three months out, start evals with error analysis, automate verifiable work first, and delegate 100%, not 90%. AllthingsPM summarizes the episodes and turns the lessons into course lessons and mock interviews.
Real AI product manager interview questions from OpenAI, Anthropic, Sierra, Google, Meta and more, grouped by the areas 2026 loops test, with strong-answer outlines. Practice every one in a scored mock on AllthingsPM, which has 4,122 real questions from 260 companies.
In 286 AI-native PM job postings, the most-named tools are APIs (21 companies), MCP (18), SQL (16) and AI coding tools like Claude Code and Cursor (13). The AllthingsPM AI PM course, built from these 604 postings, teaches all four.
A copy-ready AI product manager job description template built from 116 real PM postings at 18 AI companies in the AllthingsPM jobs catalog, with what each section should say and how often real JDs ask for evals, agents, technical depth and years of experience.
The AI product manager skills that matter most in 2026 are technical fluency (90% of AI-native postings), PM craft (88%), enterprise deployment (79%), AI UX (78%), agents (73%) and evals (53%). AllthingsPM teaches each one in a course built from 604 real PM job postings.
For a PM who wants AI PM skills and the next job, AllthingsPM is the better Reforge alternative: an AI PM course built from 604 job postings plus mock interviews from any job description for $108 a year, against Reforge's $1,995 a year plus tax.
For most people preparing for AI PM roles, AllthingsPM is the best AI product management course: built from 604 real PM job postings, updated weekly, with JD-based mock interviews, for $108 a year. For evals depth, add Hamel Husain and Shreya Shankar's Maven course; for a free primer, DeepLearning.AI.
The best AI product manager certification path for most people is AllthingsPM: an AI PM course built from real job postings plus JD-based mock interviews for $108 a year. If you need a certificate on paper, Product Faculty, Marily Nika, Product School, IBM and Duke are the strongest options.
The best Lenny's Podcast episodes for PMs in 2026 are Shreyas Doshi, Marty Cagan, Brian Chesky, Boris Cherny and Hamel Husain with Shreya Shankar on evals, chosen from Lenny's own lists and YouTube views. AllthingsPM summarizes the newest episodes and turns them into practice with its AI PM course and JD mock interviews.
To become an AI product manager in 2026, learn the skills AI PM postings actually list, build and measure one small AI product, and aim for the role your background makes credible. AllthingsPM puts the course, real questions, live AI JDs and JD-based mocks for every step in one place.
For most people, no: none of 389 current PM job postings in the AllthingsPM corpus requires an AI PM certificate. Spend on skills and proof instead. AllthingsPM teaches the skills postings ask for, with mocks, for $108 a year.
Product School is worth it mainly when your employer pays: it costs $2,999 for one live certification and $3,999 to $4,999 a year for memberships. For self-funded learners, AllthingsPM gives an AI PM course built from 604 real job postings plus mock interviews from any job description for $108 a year.
The cheapest full alternative to Product School ($2,999 per certification) is AllthingsPM: an AI PM course built from 604 real job postings plus mock interviews from any job description, for $108 a year with a free tier. For a free badge use Pendo; for a big-name certificate, Coursera Plus.
A Product School certification costs $2,999 for one live course, $3,999 a year for Pro (1 course) or $4,999 a year for Unlimited (12 courses). AllthingsPM gives you an AI PM course, mock interviews from any job description and 4,122 real questions for $108 a year, with a free tier.
The best Reforge alternative for most PMs in 2026 is AllthingsPM: an AI PM course built from 604 real job postings plus mock interviews from any job description, for $108 a year with a free tier, against Reforge's $1,995 a year plus tax.
We read 604 PM job postings from 95 companies: 286 were AI-native, and they ask for agents (73%), evals (53%) and enterprise deployment (79%). AllthingsPM built its AI PM course and JD mock interviews from this data.
An AI PRD is a normal PRD plus an AI-or-not decision, a risk register, layered guardrails, escalation triggers, an eval plan as acceptance criteria and three-level metrics. Copy the template below, then learn and practise it in the AllthingsPM course and JD mock interviews.
An AI product manager owns a product whose core behavior comes from a model: they define good output and measure it with evals, trade off model quality, cost and latency, spec agents, design for wrong answers and get it deployed. AllthingsPM teaches and tests exactly this work, built from 604 real PM job postings.
A forward deployed product manager (FDPM) is a PM embedded with a few large customers who owns getting an AI product into production and decides what feeds back into the core product. Here is what OpenAI, Scale AI, Abridge, Cresta and Intercom ask for and pay, and how to prep with AllthingsPM.
Reading is the easy half.
The course grades the other half.
