Which certificate is actually worth it.

Generative AI Leader

Business-side GenAI fluency — the one to take first if you are a PM, not an engineer.

Professional ML Engineer

Deep and genuinely hard. Only worth it if you build or closely own ML systems.

Certified AI Practitioner

Vendor-neutral enough to be useful; the strongest foundational AI cert if your shop runs on AWS.

Certified ML Engineer – Associate

MLA-C01, with a cheaper beta variant at times. Hands-on and pipeline-heavy.

Azure AI Fundamentals (AI-900)

Free learning path, paid exam. Good vocabulary builder in a weekend.

Azure AI Engineer Associate (AI-102)

Hands-on build track. Expect to write code against Azure AI services.

Deep Learning Specialization

Andrew Ng's five-course sequence. Still the reference foundation.

Machine Learning Specialization

The modernised version of the original ML course. Start here if the maths intimidates you.

AI Engineering Professional Certificate

Broad and applied. Recognised more by HR filters than by engineers.

Deep Learning Institute

Workshop-based and infrastructure-heavy. For people who own the training stack.

Elements of AI

Free, no maths, genuinely well made. The one I send to non-technical stakeholders.

AI Essentials

Practical everyday-AI skills. Audit free; the certificate is paid.

Introduction to Generative AI path

The cheapest sensible preparation for the Gen AI Leader exam.

Short Courses library

60–120 minutes each, built with the model vendors. The fastest way to stay current.

LLM Course

Code-first and free. The certificate of competence is that you can now build things.

Learn micro-courses

Short, practical, notebook-based. Intro to ML and Feature Engineering are the useful two.

Practical Deep Learning for Coders

Top-down teaching. Needs real Python.

AI for Beginners

A complete open curriculum. Dry, but nothing is missing.

Learning resources

Strong on prompting and agent design, and unusually honest about limits.

OpenAI Academy

Good for getting a whole team to a shared vocabulary in an afternoon.

AI Product Management Specialization

The closest thing to a formal AI-PM credential. University-backed, not a course mill.

Membership programs

Expensive and worth it mid-career. Growth, strategy and AI tracks taught by operators.

Certified Product Manager

The framework enterprise B2B hiring managers recognise by name.

Professional Scrum Product Owner I

Cheap, widely recognised, and it clears the "do they know agile" filter.

SAFe Product Owner / Product Manager

Only if you're targeting large enterprises that run SAFe. There, close to a requirement.

Product Management Certification

Strong network and brand recognition; curriculum is foundational rather than deep.

Certified Product Manager (CPM)

Recognised in some enterprise hiring processes, invisible in most startups.

Certified Scrum Product Owner (CSPO)

Two days, no exam. Buys vocabulary and a network, not depth.

Cohort-based PM courses

Live and instructor-led, hit and miss. Check who's teaching, not the brand.

Article library (Marty Cagan)

No certificate, more useful than most. Read it before paying for anything.

Amplitude Academy

Product analytics with free completion badges. The metrics grounding most PMs are missing.

Digital Product Management

Free to audit. Solid academic grounding in the fundamentals.

Community library & talks

Conference talks and articles. Good for breadth and for spotting what's current.

Artifacts library

Real docs from real companies. Steal the structure, not the content.

Project Management Professional Certificate

Not product management, but the delivery mechanics most career-changers are missing.

Agile & team playbooks

Practical ceremony templates you can run on Monday. Ignore the tool marketing.

Free guides & templates

Strong on craft: specs, metrics, and market breakdowns.