By Quick answer: What is the best AI certification roadmap for 2027?
- Stage 1 — AI Essentials or AI for Everyone.
- Stage 2 — AI-900 or AWS AI Practitioner.
- Stage 3 — ML Specialization, LLM course.
- Stage 4–5 — AI-102, AWS MLE, Google Cloud PMLE.
Key takeaways
- Most professionals only need stages 1–2.
- Builders need Python before stage 3.
- Expert exams expect real production experience.
AI careers run from 'uses AI well at work' to 'builds production ML systems'. Most people only need the first steps; builders need the whole path. This roadmap lays out five stages, with the certification that proves each, so you know where to stop.
The roadmap at a glance
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.
| # | Certification | Cost | Time | Prove it free |
|---|---|---|---|---|
| 1 | Google AI EssentialsGoogle / Coursera | $49/mo Coursera plan1 | Under 10 hours (per course page) | Free test |
| 2 | AI For EveryoneDeepLearning.AI / Coursera | Free to audit on Coursera2 | About 7 hours | Free test |
| 3 | Microsoft Azure AI Fundamentals (AI-900)Microsoft | Exam priced by country3 | Microsoft fundamentals exam | Free test |
| 4 | AWS Certified AI PractitionerAmazon Web Services | $1004 | 90 minutes, 65 questions | Free test |
| 5 | Machine Learning SpecializationDeepLearning.AI & Stanford / Coursera | $49/mo Coursera plan5 | 2 months at 10 hours a week | Free test |
| 6 | Generative AI with Large Language ModelsDeepLearning.AI & AWS / Coursera | Coursera plan6 | 2 weeks at 10 hours a week | Free test |
| 7 | Microsoft Azure AI Engineer Associate (AI-102)Microsoft | Exam priced by country7 | 100 minutes | Free test |
| 8 | AWS Certified Machine Learning Engineer – AssociateAmazon Web Services | $1508 | Check issuer | Free test |
| 9 | Google Cloud Professional Machine Learning EngineerGoogle Cloud | $2009 | 2 hours, multiple choice | Free test |
Prove it free before you pay for an exam
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.)
- AI Literacy CertificationPractise for Google AI Essentials before you pay.Start free test →
- AI-900 Practice TestPractise for Microsoft Azure AI Fundamentals (AI-900) before you pay.Start free test →
- AWS AI Practitioner Practice ExamPractise for AWS Certified AI Practitioner before you pay.Start free test →
- Machine Learning Fundamentals CertificationPractise for Machine Learning Specialization before you pay.Start free test →
Each stage, and the certification for it
- CourseraGoogle AI EssentialsStage 1: AI at work$49/mo Coursera plan
- CourseraAI For EveryoneStage 1: AI literacyFree to audit on Coursera
- MicrosoftMicrosoft Azure AI Fundamentals (AI-900)Stage 2: Azure AI basicsExam priced by country
Google AI Essentials
- Cost
- $49/mo Coursera plan1
- Time
- Under 10 hours (per course page)
Stage 1: practical AI at work, under ten hours. Google's short course teaches practical generative AI for everyday work: drafting, research, analysis and using AI responsibly. It needs no technical background and takes under ten hours, so it suits almost any professional who wants to use AI tools with more confidence.
Best forstage 1: AI at work
AI For Everyone
- Cost
- Free to audit on Coursera2
- Time
- About 7 hours
Stage 1: non-technical AI literacy, about seven hours, free to audit. Andrew Ng's non-technical course explains what AI can and can't do, how AI projects work and how to plan for AI in an organisation. It takes about seven hours, can be audited free on Coursera and is a strong first step for managers and non-specialists.
Best forstage 1: AI literacy
Microsoft Azure AI Fundamentals (AI-900)
- Cost
- Exam priced by country3
- Format
- Microsoft fundamentals exam
Stage 2: AI fundamentals on Azure; 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 forstage 2: Azure AI basics
AWS Certified AI Practitioner
- Cost
- $1004
- Format
- 90 minutes, 65 questions
Stage 2: a $100 exam on AI and generative AI 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 forstage 2: AWS AI basics
Machine Learning Specialization
- Cost
- $49/mo Coursera plan5
- Time
- 2 months at 10 hours a week
Stage 3: machine learning in Python, about two months part-time. 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 forstage 3: machine learning
Generative AI with Large Language Models
- Cost
- Coursera plan6
- Time
- 2 weeks at 10 hours a week
Stage 3: how LLMs work and how to fine-tune and deploy them. DeepLearning.AI and AWS's course explains how large language models work, how to fine-tune and evaluate them and how to deploy them. It takes about two weeks at ten hours a week and suits developers and data scientists with Python.
Best forstage 3: LLMs
Microsoft Azure AI Engineer Associate (AI-102)
- Cost
- Exam priced by country7
- Format
- 100 minutes
Stage 4: building AI solutions on Azure, 100 minutes. Microsoft's associate exam proves you can build AI solutions on Azure, including generative AI, language and vision apps. It's a 100-minute exam priced by country, needs coding skills and renews free online each year.
Best forstage 4: AI apps on Azure
AWS Certified Machine Learning Engineer – Associate
- Cost
- $1508
Stage 4: building and running ML on AWS, $150. AWS's associate exam proves you can prepare data, train, deploy and monitor machine learning models on AWS. It costs $150 and expects hands-on ML and AWS experience, making it a strong credential for ML engineers.
Best forstage 4: ML on AWS
Google Cloud Professional Machine Learning Engineer
- Cost
- $2009
- Format
- 2 hours, multiple choice
Stage 5: Google Cloud's professional ML exam, $200, for production ML engineers. Google Cloud's professional exam tests production machine learning: framing problems, building pipelines and serving and monitoring models. It's two hours, costs $200 and is aimed at experienced ML engineers.
Best forstage 5: expert ML on Google Cloud
Where to stop on the roadmap
| You are… | Stop at |
|---|---|
| Any professional | Stage 1 |
| Manager or cloud staff | Stage 2 |
| Analyst moving to ML | Stage 3 |
| AI developer or ML engineer | Stage 4–5 |
Table: Where to stop on the AI roadmap
How we ranked these picks
We ordered AI certifications by prerequisite knowledge and exam level. Fees and times come from official pages, checked 3 November 2026.
Frequently asked questions
Where should I start learning AI?
Google AI Essentials or AI for Everyone. Both need no coding.
Do I need coding for the AI roadmap?
Not for stages 1–2. Stages 3–5 need Python.
How long does the full roadmap take?
Stages 1–2 take weeks. Reaching expert exams typically takes a year or more with hands-on work.
Which expert AI certification is best?
AWS ML Engineer, Azure AI-102 or Google Cloud Professional ML Engineer, matched to the cloud you use.
Is there a free AI test for each stage?
Yes. Science of Apps offers free AI tests from beginner to advanced with instant results.
Sources
- Google — Google AI Essentials, official page (checked 3 Nov 2026)
- DeepLearning.AI — AI For Everyone, official page (checked 3 Nov 2026)
- Microsoft — Microsoft Azure AI Fundamentals (AI-900), official page (checked 3 Nov 2026)
- Amazon Web Services — AWS Certified AI Practitioner, official page (checked 3 Nov 2026)
- DeepLearning.AI & Stanford — Machine Learning Specialization, official page (checked 3 Nov 2026)
- DeepLearning.AI & AWS — Generative AI with Large Language Models, official page (checked 3 Nov 2026)
- Microsoft — Microsoft Azure AI Engineer Associate (AI-102), official page (checked 3 Nov 2026)
- Amazon Web Services — AWS Certified Machine Learning Engineer – Associate, official page (checked 3 Nov 2026)
- Google Cloud — Google Cloud Professional Machine Learning Engineer, official page (checked 3 Nov 2026)
- Checked November 4, 2026. Figures that change — fees, salaries, prices — are reviewed every six months; if something is out of date, tell us.
Where to go from here
- The best online certifications of 2027 — the full top 10 across every field
- Free Online Certifications in 2027: 10 That Employers Respect — related guide
- Science of Apps free certification catalogue — 1,200+ free tests
- Career guides by Science of Apps for 2027The machine learning certification roadmap for 2027: from beginner to expertA machine learning certification roadmap for 2027: Kaggle and CS50 AI, the ML Specialization, Deep Learning and LLMs, then AWS MLE, DP-100 and GC PMLE.
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- Career guides by Science of Apps for 2027The Python certification roadmap for 2027: from beginner to expertA Python certification roadmap for 2027: Kaggle and CS50, PCEP and freeCodeCamp, IBM Data Science or Meta Back-End, then ML and AI.
- Career guides by Science of Apps for 2027The Power BI and Excel certification roadmap for 2027: from beginner to expertA Power BI and Excel certification roadmap for 2027: Microsoft Learn and Kaggle, Google Data Analytics, PL-300, then FMVA or Google Advanced.
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