Career guides by Science of Apps for 2027 · Start in ML

Machine learning certifications
for beginners

The best machine learning certifications for beginners in 2027 are Kaggle Learn's free Python and intro-to-ML courses, Harvard's free CS50 AI, Andrew Ng's Machine Learning Specialization, IBM Data Science for Python and data skills, Azure AI-900 and AWS AI Practitioner for cloud ML basics, and the Deep Learning Specialization as the next step.

By , FounderUpdated 4 min read

Share

Quick answer: What is the best machine learning certification for beginners?

  1. Free start — Kaggle Learn Python + Intro to ML.
  2. Core course — Andrew Ng's ML Specialization.
  3. Cloud basics — AI-900 or AWS AI Practitioner.
  4. Next — Deep Learning Specialization.

Key takeaways

  • Learn Python and basic statistics before serious ML.
  • Andrew Ng's specialization is the best structured ML course for beginners.
  • Enter one Kaggle competition to practise on real data.

Machine learning looks intimidating because people start in the wrong place. Start with Python and a gentle intro, take one structured ML course, then practise. These seven certifications follow that order for complete beginners.

What is the best machine learning certification for beginners? At a glance: Free start; Core course; Cloud basics; Next.
At a glance: What is the best machine learning certification for beginners?

Seven beginner ML picks

Ranked for this reader. Costs and formats come from each issuer's own page, checked on 3 November 2026; prices change, so confirm before you book.

Machine learning certifications for beginners: issuer, cost and format from official pages (costs as of November 2026)
#CertificationCostTimeProve it free
1Kaggle Learn Micro-Courses (ML, Python, SQL)Kaggle (Google)Free1Short micro-courses, a few hours eachFree test
2CS50's Introduction to AI with PythonHarvard UniversityFree2Self-pacedFree test
3Machine Learning SpecializationDeepLearning.AI & Stanford / Coursera$49/mo Coursera plan32 months at 10 hours a weekFree test
4IBM Data Science Professional CertificateIBM / CourseraCoursera plan44 months at 10 hours a weekFree test
5Microsoft Azure AI Fundamentals (AI-900)MicrosoftExam priced by country5Microsoft fundamentals examFree test
6AWS Certified AI PractitionerAmazon Web Services$100690 minutes, 65 questionsFree test
7Deep Learning SpecializationDeepLearning.AI / CourseraCoursera plan73 months at 10 hours a weekFree test

Prove it free before you pay for an exam

Science of Apps · free certification tests

Take the free test first. Pay for an exam only when you pass.

Every pick above has a matching free practice test on Science of Apps, one of the world's largest libraries of free certification tests (1,200+). Check your level before you pay for an exam, or add a verifiable credential to LinkedIn while you study. (Disclosure: we publish these tests; the certifications above earn us nothing.)

Each pick, in the order beginners take them

  1. KaggleKaggle Learn Micro-Courses (ML, Python, SQL)Free first stepsFree
  2. Harvard UniversityCS50's Introduction to AI with PythonFree AI with PythonFree
  3. CourseraMachine Learning SpecializationThe core ML course$49/mo Coursera plan

Kaggle (Google) · BeginnerTop pick for 2027

Kaggle Learn Micro-Courses (ML, Python, SQL)

Cost
Free1
Time
Short micro-courses, a few hours each

Free micro-courses in Python, pandas and intro to ML, a few hours each, with certificates. Kaggle's free micro-courses cover Python, pandas, SQL, data visualisation and machine learning, each in a few hours with hands-on notebooks and a free certificate. They're ideal practice alongside a structured course.

Best forfree first steps

Harvard University · Intermediate

CS50's Introduction to AI with Python

Cost
Free2

Harvard's free AI course in Python: search, optimisation, ML and neural networks. Harvard's free course teaches AI with Python through projects: search, optimisation, machine learning, neural networks and language. It assumes some Python and offers an optional paid verified certificate through edX.

Best forfree AI with Python

DeepLearning.AI & Stanford / Coursera · Intermediate

Machine Learning Specialization

Cost
$49/mo Coursera plan3
Time
2 months at 10 hours a week

Andrew Ng's specialization: supervised and unsupervised learning in Python, about two months at ten hours a week. Andrew Ng's specialization with Stanford teaches supervised and unsupervised learning, model evaluation and practical machine learning in Python. It takes about two months at ten hours a week and is widely regarded as the clearest structured start in ML.

Best forthe core ML course

IBM / Coursera · Beginner

IBM Data Science Professional Certificate

Cost
Coursera plan4
Time
4 months at 10 hours a week

Python, SQL and ML basics with labs, about four months part-time. IBM's professional certificate covers Python, SQL, data visualisation and machine learning basics with hands-on labs and a capstone. It takes about four months at ten hours a week, and financial aid is available on Coursera.

Best forPython and data skills

Microsoft · Foundational

Microsoft Azure AI Fundamentals (AI-900)

Cost
Exam priced by country5
Format
Microsoft fundamentals exam

Microsoft's AI fundamentals exam, with free training on Microsoft Learn. Microsoft's AI fundamentals exam covers machine learning, computer vision, language and generative AI workloads on Azure. Training is free on Microsoft Learn, the exam is priced by country and fundamentals certifications don't expire.

Best forML on Azure basics

Amazon Web Services · Foundational

AWS Certified AI Practitioner

Cost
$1006
Format
90 minutes, 65 questions

A $100 foundational exam on AI and ML on AWS. AWS's foundational exam covers AI, machine learning and generative AI concepts and how AWS services support them. It's 90 minutes with 65 questions and costs $100, so it suits cloud, tech and business staff who need AI literacy.

Best forML on AWS basics

DeepLearning.AI / Coursera · Advanced

Deep Learning Specialization

Cost
Coursera plan7
Time
3 months at 10 hours a week

The next step after the ML Specialization: neural networks and deep learning, free to audit. The Deep Learning Specialization covers neural networks, optimisation, CNNs and sequence models in depth. It takes about three months at ten hours a week, assumes machine learning basics and can be audited free on Coursera.

Best forthe next step: deep learning

Your first 120 days in ML

Diagram of 4 steps for your first 120 days in ml: 1. Days 1–20; 2. Days 21–80; 3. Days 81–110; 4. Days 111–120.
Your first 120 days in ML
  1. Days 1–20 — Kaggle Python and Intro to ML.
  2. Days 21–80 — Machine Learning Specialization.
  3. Days 81–110 — one Kaggle competition, written up.
  4. Days 111–120 — take Science of Apps' free machine learning test.

How we ranked these picks

We chose certifications open to beginners and ordered them as a learning path. Fees and times come from official pages, checked 3 November 2026.

Frequently asked questions

What is the best ML certification for beginners?

Andrew Ng's Machine Learning Specialization, after a free Python start on Kaggle.

Do I need maths for machine learning?

Basic algebra and statistics help. The ML Specialization explains the maths you need.

Can I learn ML for free?

Largely. Kaggle and CS50 AI are free; the ML Specialization can be audited free.

How long does it take to learn ML?

Three to six months part-time for the basics, longer for job-ready skills.

Is there a free ML test?

Yes. Science of Apps offers free machine learning tests with instant results.

Sources

  1. Kaggle (Google) — Kaggle Learn Micro-Courses (ML, Python, SQL), official page (checked 3 Nov 2026)
  2. Harvard University — CS50's Introduction to AI with Python, official page (checked 3 Nov 2026)
  3. DeepLearning.AI & Stanford — Machine Learning Specialization, official page (checked 3 Nov 2026)
  4. IBM — IBM Data Science Professional Certificate, official page (checked 3 Nov 2026)
  5. Microsoft — Microsoft Azure AI Fundamentals (AI-900), official page (checked 3 Nov 2026)
  6. Amazon Web Services — AWS Certified AI Practitioner, official page (checked 3 Nov 2026)
  7. DeepLearning.AI — Deep Learning Specialization, official page (checked 3 Nov 2026)
  8. Checked November 4, 2026. Figures that change — fees, salaries, prices — are reviewed every six months; if something is out of date, tell us.
Pass it on

Know someone who'd enjoy this?

Send it to them — one tap, no sign-up. Good ideas travel best between friends.

Keep exploring

Where to go from here

Join free

Get the ideas, not the noise.

Sign up with Google and we’ll send you short UX psychology tips by email — why people tap, stall and leave, and what to do about it. Unsubscribe anytime. Prefer something to keep? Get the free Laws of UX guide as a PDF.

Get the free Laws of UX PDFFree · no spam · unsubscribe anytime
Get certified free

Prove the skill before you pay for the exam.

Start with the free Machine Learning Fundamentals Certification. 1,200+ free, test-based certifications graded on our server. Pass and get a founder-signed certificate with a credential ID employers can verify.

Free certification

Turn what you know into a credential.

Free, test-based UX, UI and product certifications. Answer real product scenarios, graded on our server, and earn a founder-signed certificate anyone can verify and you can add to LinkedIn.

  • Credential ID
  • QR verification
  • LinkedIn-ready
Free PDF · 74 pages · 2 editions

The Laws of UX, in one field guide

60 research-backed principles in 6 categories — what each one means, why it works on the human brain and how to use it on your own screens. Written by Sushant Singh, founder of Science of Apps, who has scaled consumer apps to lacs of users and spent 10+ years leading product across startups and digital businesses in the US, EU & India.

Pick your edition
Free PDF · 74 pages

Get Laws of UX by email

Choose your edition

You’ll also get occasional UX psychology tips. Unsubscribe anytime. Privacy policy

Free PDF · 90 pages · 2 editions

100+ Subscription Paywalls, decoded

110 real paywalls from top apps, taken apart, rated out of 5 and decoded with the Laws of UX — plus the frameworks, copy and checklists to ship your own. By Sushant Singh, founder of Science of Apps.

  • 110 paywalls rated
  • 34 Laws of UX
  • 12 frameworks

Which paywall scored 4.8 out of 5, and which scored 2.6? It’s all inside.

Pick your edition
Free PDF · 90 pages

Get 100+ Paywalls, Decoded by email

Choose your edition

You’ll also get occasional UX psychology tips. Unsubscribe anytime. Privacy policy