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

The best AI certifications
for software engineers

The best AI certifications for software engineers in 2027 are Azure AI Engineer (AI-102), AWS Machine Learning Engineer, Databricks Generative AI Engineer ($200), Generative AI with LLMs, Anthropic Academy and OpenAI Academy (both free) for building with AI APIs, and Google Cloud Professional ML Engineer ($200) for senior ML work.

By , FounderUpdated 4 min read

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Quick answer: Which AI certifications are best for software engineers?

  1. Azure — AI-102.
  2. AWS — ML Engineer ($150).
  3. GenAI — Databricks GenAI Engineer, LLM course.
  4. Free — Anthropic and OpenAI academies.

Key takeaways

  • Engineers who can ship AI features are in demand.
  • Start with free API courses; certify on your cloud.
  • Build one AI feature end to end, with evaluation.

AI and ML specialists are among the fastest-growing roles in the WEF's 2025 report, and most AI work in companies is done by software engineers adding AI features. These seven certifications prove you can build with AI.

Which AI certifications are best for software engineers? At a glance: Azure; AWS; GenAI; Free.
At a glance: Which AI certifications are best for software engineers?

Seven AI certifications for engineers

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 software engineers in 2027: issuer, cost and format from official pages (costs as of November 2026)
#CertificationCostTimeProve it free
1Microsoft Azure AI Engineer Associate (AI-102)MicrosoftExam priced by country1100 minutesFree test
2AWS Certified Machine Learning Engineer – AssociateAmazon Web Services$1502Check issuerFree test
3Databricks Certified Generative AI Engineer AssociateDatabricks$200390 minutesFree test
4Generative AI with Large Language ModelsDeepLearning.AI & AWS / CourseraCoursera plan42 weeks at 10 hours a weekFree test
5Anthropic Academy – Claude CoursesAnthropicFree5Self-pacedFree test
6OpenAI AcademyOpenAIFree6Self-pacedFree test
7Google Cloud Professional Machine Learning EngineerGoogle Cloud$20072 hours, multiple choiceFree 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 what it lets you build

  1. MicrosoftMicrosoft Azure AI Engineer Associate (AI-102)AI apps on AzureExam priced by country
  2. AWSAWS Certified Machine Learning Engineer – AssociateML on AWS$150
  3. DatabricksDatabricks Certified Generative AI Engineer AssociateLLM apps on Databricks$200

Microsoft · AssociateTop pick for 2027

Microsoft Azure AI Engineer Associate (AI-102)

Cost
Exam priced by country1
Format
100 minutes

Building AI solutions on Azure, including generative AI apps. 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 forAI apps on Azure

Amazon Web Services · Associate

AWS Certified Machine Learning Engineer – Associate

Cost
$1502

Data preparation, training, deployment and monitoring 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
$2003
Format
90 minutes

Building LLM applications on Databricks. 90 minutes, $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 forLLM apps on Databricks

DeepLearning.AI & AWS / Coursera · Intermediate

Generative AI with Large Language Models

Cost
Coursera plan4
Time
2 weeks at 10 hours a week

How LLMs work, fine-tuning and deployment, about two weeks part-time. 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 forLLM fundamentals

Anthropic · Beginner–Intermediate

Anthropic Academy – Claude Courses

Cost
Free5

Anthropic Academy's free courses on building with Claude. Anthropic Academy's free courses teach how to use Claude well and how to build with Anthropic's API, from everyday prompting to developer workflows. They suit both professionals and developers.

Best forbuilding with Claude, free

OpenAI · Beginner

OpenAI Academy

Cost
Free6

OpenAI Academy's free learning on OpenAI's tools. OpenAI Academy's free learning covers using ChatGPT and OpenAI's tools effectively at work and in education. It's practical and tool-specific, so pair it with a tool-neutral course if you use several assistants.

Best forbuilding with OpenAI, free

Google Cloud · Professional

Google Cloud Professional Machine Learning Engineer

Cost
$2007
Format
2 hours, multiple choice

Google Cloud's professional ML exam 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 forsenior ML on Google Cloud

An AI feature to build

Checklist: An AI feature to build — Retrieval; Evaluation; Guardrails; Monitoring.
An AI feature to build
  • Retrieval — answer questions over your own documents.
  • Evaluation — a test set and a score.
  • Guardrails — handle bad input and failures.
  • Monitoring — log cost and quality.

How we ranked these picks

We ranked AI certifications by how directly they help engineers build and deploy AI features. Fees come from official pages, checked 3 November 2026.

Frequently asked questions

Which AI certification is best for developers?

Azure AI-102 or AWS ML Engineer, matched to your cloud.

Are free AI courses useful for engineers?

Yes; Anthropic and OpenAI academies teach their APIs.

Do I need ML theory to build AI apps?

Not for many LLM features; it helps for custom models.

Is Databricks GenAI worth it?

Yes if your company uses Databricks.

Is there a free AI test for developers?

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

Sources

  1. Microsoft — Microsoft Azure AI Engineer Associate (AI-102), official page (checked 3 Nov 2026)
  2. Amazon Web Services — AWS Certified Machine Learning Engineer – Associate, official page (checked 3 Nov 2026)
  3. Databricks — Databricks Certified Generative AI Engineer Associate, official page (checked 3 Nov 2026)
  4. DeepLearning.AI & AWS — Generative AI with Large Language Models, official page (checked 3 Nov 2026)
  5. Anthropic — Anthropic Academy – Claude Courses, official page (checked 3 Nov 2026)
  6. OpenAI — OpenAI Academy, official page (checked 3 Nov 2026)
  7. Google Cloud — Google Cloud Professional Machine Learning Engineer, 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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