AI and ML certifications for the technology reshaping every industry
27 certifications from AWS, Microsoft, Google, NVIDIA, Databricks, Snowflake, Oracle, Salesforce, GitHub and IAPP - from no-code fundamentals to building agents and running GPU clusters.
For a foundation, choose by platform: AWS Certified AI Practitioner (AIF-C01), Microsoft Azure AI Fundamentals (AI-901) or Google Cloud Generative AI Leader. All three suit non-developers. Developers can start at associate level - AI-103 on Azure, AWS Machine Learning Engineer Associate, or Databricks Generative AI Engineer Associate.
Microsoft retired AI-900 and AI-102 on June 30, 2026. AI-901 (Azure AI Fundamentals) replaces AI-900 and now requires annual renewal. AI-103 (Developing AI Apps and Agents on Azure) replaces AI-102, with a much stronger focus on Microsoft Foundry, generative AI and agents. Existing AI-102 certifications stay on record, but the old exams can no longer be scheduled.
Pick the cloud your employer runs on. AWS offers the broadest ladder, from AI Practitioner to the Generative AI Developer – Professional. Azure's AI-103 is the standard for building apps and agents with Microsoft Foundry. Google's Professional Machine Learning Engineer is the strongest credential for end-to-end ML engineering. Platform-neutral skills are covered by Databricks and Snowflake certifications.
NVIDIA's associate credentials (NCA-GENL, NCA-GENM, NCA-AIIO) validate foundations in LLMs, multimodal generative AI and AI infrastructure. The professional credentials (NCP-AII and NCP-AIN) target engineers who deploy GPU clusters and AI networking. They are most valuable if you work with NVIDIA hardware or GPU-heavy AI platforms.
The IAPP Artificial Intelligence Governance Professional (AIGP) is for privacy, compliance, risk, legal and technology professionals who govern AI. It covers AI concepts and risks, the laws, standards and frameworks that apply to AI - including the NIST AI RMF, ISO AI standards and the OECD principles - and how to set governance policies and controls across the AI lifecycle.
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