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Jobs and career pathways

AI & ML Certification Prep jobs, salary benchmarks, and career pathways

Because this page spans multiple vendor paths, the salary section uses broad BLS occupation data rather than one provider-specific marketing claim.

Updated October 6, 2026

Where this exam tends to lead

These roles centre on related jobs and career pathways. The role targets below are the main search patterns this jobs page is built around.

AI & ML Certification PrepAI & ML Certification Prep SpecialistAI & ML Certification Prep Instructor

This page is built around related job searches now, with room for richer direct-ingestion job feeds later.

AI and ML salary benchmarks

Because this page spans multiple vendor paths, the salary section uses broad BLS occupation data rather than one provider-specific marketing claim.

Role / benchmarkPayWhy it matters
Data scientists$120,230 median annual wageMay 2025 figure. Strong broad benchmark for AI and ML career paths BLS Data Scientists
Data scientist job outlook35% projected growth, 2025 to 2035Much faster than average, with about 24,800 openings projected each year BLS Data Scientists
Computer and information technology occupations$109,470 median annual wageMay 2025 figure, against $50,980 for all occupations. Broad benchmark for technical careers where ML certification can become a differentiator BLS Computer and Information Technology Occupations

What is live, what is retired, and what each exam costs

FactCurrent detailSource
RETIRED — AWS Machine Learning – SpecialtyThe last day to take the AWS Certified Machine Learning – Specialty exam was March 31, 2026. Existing holders keep active status for 3 years from their earning dateAWS ML Specialty certification page
RETIRED — Azure AI Engineer Associate (AI-102)Microsoft states that this certification and its renewal assessment are retired. Any roadmap still pointing at AI-102 is out of dateMicrosoft Azure AI Engineer Associate page
LIVE — Google Cloud Professional ML Engineer120 minutes, 50–60 multiple choice and multiple select questions, $200 registration, offered in English and JapaneseGoogle Cloud Professional ML Engineer
Google recommended experience3+ years of industry experience including 1+ years designing and managing solutions on Google Cloud. There is no formal prerequisite, but the exam expects you to read Python and SQLGoogle Cloud Professional ML Engineer
Google content changeThe exam was updated to reflect the move from Vertex AI to the Gemini Enterprise Agent Platform and changes across the Google Cloud data and analytics stack. Study material written before that update describes services the exam no longer centers onGoogle Cloud Professional ML Engineer
LIVE — AWS ML Engineer – AssociateMLA-C01: 130 minutes, 65 questions, $150. This is the replacement path for the retired ML – Specialty examAWS ML Engineer Associate page
AWS version changeAn updated version, MLA-C02, opens for registration on September 1, 2026. If you are booking now, check which version your appointment covers before you buy study materialAWS ML Engineer Associate page
AWS recommended experienceAt least 1 year using Amazon SageMaker and other ML engineering AWS services, plus 1 year of hands-on experience with AWS servicesAWS ML Engineer Associate page
LIVE — Microsoft Exam AI-103Azure AI Apps and Agents Developer Associate. 120 minutes. Covers planning and managing an Azure AI solution, generative AI and agentic solutions, computer vision, text analysis, and information extraction, built around Python and Microsoft FoundryMicrosoft Azure AI Apps and Agents Developer Associate
LIVE — Microsoft Exam AI-300Machine Learning Operations Engineer Associate. 120 minutes, offered in English only. Covers MLOps and GenAIOps infrastructure, model lifecycle and operations, generative AI quality assurance and observability, and system optimizationMicrosoft Machine Learning Operations Engineer Associate
How to choose between the two Microsoft pathsAI-103 is the application and agent building path; AI-300 is the operations path for training, deploying, monitoring, and optimizing models. AI-300 is the closer analogue to the Google and AWS ML engineering examsMicrosoft Learn certification pages
Cluster realityThis is a platform-choice problem first and an exam-prep problem second. The cheapest and shortest live path is AWS at $150 and 130 minutes; the most expensive is Google at $200Google, AWS, and Microsoft official certification pages

Fetched job listings

These listings come from the latest automated jobs update run. If a board blocks or limits retrieval, use the live search links above.

6 listings captured

Official resources

Google Cloud Professional ML Engineer

Official page for the only one of the original three anchor exams still running.

AWS ML Engineer – Associate certification page

The replacement for the retired ML – Specialty exam, with MLA-C02 opening September 1, 2026.

AWS ML – Specialty retirement notice

States the March 31, 2026 final testing date and what happens to existing credentials.

Microsoft Exam AI-103 certification page

Azure AI Apps and Agents Developer Associate — the app and agent building path.

Microsoft Exam AI-300 certification page

Machine Learning Operations Engineer Associate — the MLOps and GenAIOps path.

External resources and benchmarks

BLS data scientist outlook

Grounds the AI/ML value proposition in neutral salary and growth data.

Google Cloud certification catalog

Useful when you need to compare the ML engineer path with adjacent Google Cloud certs.

Questions people ask before choosing this path

Is the AWS Machine Learning – Specialty exam still available?

No. AWS states that the last day to take the AWS Certified Machine Learning – Specialty exam was March 31, 2026. People who already hold it keep active status for three years from the date they earned it. The replacement path is AWS Certified Machine Learning Engineer – Associate.

Should I still study for AI-102?

No. Microsoft states that the Azure AI Engineer Associate certification and its renewal assessment are retired. The current Microsoft paths are Exam AI-103 for Azure AI Apps and Agents Developer Associate and Exam AI-300 for Machine Learning Operations Engineer Associate.

Which live AI/ML certification is the cheapest and shortest?

AWS Certified Machine Learning Engineer – Associate, at $150 for a 130-minute, 65-question exam. Google Cloud Professional Machine Learning Engineer is $200 for 120 minutes and 50–60 questions. Microsoft prices AI-103 and AI-300 by country, and both run 120 minutes.

Is this page for one exam or several?

Several. This guide covers the live Google, AWS, and Microsoft AI/ML certification paths, because most candidates are choosing between platforms before they commit to a single exam.

Which path is best for beginners?

Usually none of these. Every live exam here assumes about a year of hands-on platform experience — AWS asks for a year with SageMaker, Google recommends three years of industry experience. This guide works best for people who already have a technical base and need to choose a vendor direction.