Career guides by Science of Apps for 2027 · AI for analysts

The best AI certifications
for data analysts

The best AI certifications for data analysts in 2027 are Andrew Ng's ML Specialization, Azure DP-100, AWS Machine Learning Engineer, Databricks Generative AI Engineer, Azure AI-900 for fundamentals, Kaggle's free Intro to ML and Google AI Essentials for AI-assisted analysis.

By , FounderUpdated 4 min read

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Quick answer: Which AI certifications are best for data analysts?

  1. Foundations — ML Specialization, Kaggle.
  2. Cloud — DP-100, AWS MLE.
  3. GenAI — Databricks GenAI Engineer.
  4. Daily use — Google AI Essentials.

Key takeaways

  • Analysts already have the data skills AI needs.
  • Learn ML evaluation, not just model training.
  • AI-assisted analysis still needs human checks.

Data analysts are well placed to move into AI: they already know data, SQL and stakeholders. These seven certifications add machine learning and AI platforms on top.

Which AI certifications are best for data analysts? At a glance: Foundations; Cloud; GenAI; Daily use.
At a glance: Which AI certifications are best for data analysts?

Seven AI certifications for analysts

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.

The best AI certifications for data analysts in 2027: issuer, cost and format from official pages (costs as of November 2026)
#CertificationCostTimeProve it free
1Machine Learning SpecializationDeepLearning.AI & Stanford / Coursera$49/mo Coursera plan12 months at 10 hours a weekFree test
2Microsoft Azure Data Scientist Associate (DP-100)MicrosoftExam priced by country2Self-pacedFree test
3AWS Certified Machine Learning Engineer – AssociateAmazon Web Services$1503Check issuerFree test
4Databricks Certified Generative AI Engineer AssociateDatabricks$200490 minutesFree test
5Microsoft Azure AI Fundamentals (AI-900)MicrosoftExam priced by country5Microsoft fundamentals examFree test
6Kaggle Learn Micro-Courses (ML, Python, SQL)Kaggle (Google)Free6Short micro-courses, a few hours eachFree test
7Google AI EssentialsGoogle / Coursera$49/mo Coursera plan7Under 10 hours (per course page)Free 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 certification, and how it moves analysts into AI

  1. CourseraMachine Learning SpecializationML foundations$49/mo Coursera plan
  2. MicrosoftMicrosoft Azure Data Scientist Associate (DP-100)ML on AzureExam priced by country
  3. AWSAWS Certified Machine Learning Engineer – AssociateML on AWS$150

DeepLearning.AI & Stanford / Coursera · IntermediateTop pick for 2027

Machine Learning Specialization

Cost
$49/mo Coursera plan1
Time
2 months at 10 hours a week

Andrew Ng's ML course, 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 forML foundations

Microsoft · Associate

Microsoft Azure Data Scientist Associate (DP-100)

Cost
Exam priced by country2

Training and deploying models on Azure ML. Microsoft's associate exam proves you can train and deploy machine learning models with Azure Machine Learning. It's priced by country, needs Python and ML basics and renews free online each year.

Best forML on Azure

Amazon Web Services · Associate

AWS Certified Machine Learning Engineer – Associate

Cost
$1503

ML engineering 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 forML on AWS

Databricks · Associate

Databricks Certified Generative AI Engineer Associate

Cost
$2004
Format
90 minutes

LLM applications on Databricks. $200. Databricks' associate exam proves you can design and build LLM applications on the Databricks platform, from data preparation to evaluation. It's 90 minutes and costs $200, so it suits data and AI engineers whose teams use Databricks.

Best forGenAI on Databricks

Microsoft · Foundational

Microsoft Azure AI Fundamentals (AI-900)

Cost
Exam priced by country5
Format
Microsoft fundamentals exam

Microsoft's AI fundamentals exam. 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 forAI fundamentals

Kaggle (Google) · Beginner

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

Cost
Free6
Time
Short micro-courses, a few hours each

Free Intro to ML and intermediate ML courses. 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 ML practice

Google / Coursera · Beginner

Google AI Essentials

Cost
$49/mo Coursera plan7
Time
Under 10 hours (per course page)

Practical AI for analysis, 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 forAI-assisted analysis

Analyst to ML in six months

Diagram of 4 steps for analyst to ml in six months: 1. Month 1; 2. Months 2–3; 3. Months 4–5; 4. Month 6.
Analyst to ML in six months
  1. Month 1 — Kaggle Intro to ML.
  2. Months 2–3 — ML Specialization.
  3. Months 4–5 — DP-100 or AWS MLE prep with a project.
  4. Month 6 — take the exam and publish the project.

How we ranked these picks

We chose AI certifications that build on analysts' existing skills. Fees come from official pages, checked 3 November 2026.

Frequently asked questions

How do data analysts move into AI?

Learn ML (ML Specialization), then a cloud ML exam.

Is DP-100 good for analysts?

Yes if your employer uses Azure.

Do analysts need deep learning?

Not usually; classic ML covers most analyst use cases.

Can AI do data analysis?

It can speed it up; analysts check and interpret.

Is there a free AI test for analysts?

Yes. Science of Apps offers free ML and AI tests.

Sources

  1. DeepLearning.AI & Stanford — Machine Learning Specialization, official page (checked 3 Nov 2026)
  2. Microsoft — Microsoft Azure Data Scientist Associate (DP-100), official page (checked 3 Nov 2026)
  3. Amazon Web Services — AWS Certified Machine Learning Engineer – Associate, official page (checked 3 Nov 2026)
  4. Databricks — Databricks Certified Generative AI Engineer Associate, official page (checked 3 Nov 2026)
  5. Microsoft — Microsoft Azure AI Fundamentals (AI-900), official page (checked 3 Nov 2026)
  6. Kaggle (Google) — Kaggle Learn Micro-Courses (ML, Python, SQL), official page (checked 3 Nov 2026)
  7. Google — Google AI Essentials, 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.
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