Best AI certifications
The best AI certifications in 2026
AI certifications now span everything from a first foundational credential to specialist generative-AI and machine-learning engineering tracks. The right one depends on your role and how deep you want to go, not on a single best badge.
This list is ordered from the most accessible starting point to the most advanced. Each entry notes who it suits and links to a full practice question set so you can gauge your readiness before you book.
- 1
Best first AI certification
A foundational credential covering core AI and generative-AI concepts on AWS, with no machine-learning prerequisites. The natural starting point if you are new to AI certifications.
Practise AIF-C01 questions - 2
Best for generative AI and LLMs
An associate-level focus on large language models, prompting, and the generative-AI stack. A strong next step once you have the fundamentals.
Practise NCA-GENL questions - 3
Best for multimodal generative AI
Extends the generative-AI track across text, image, and audio. Choose it if your work spans more than text alone.
Practise NCA-GENM questions - 4
Best for AI infrastructure and operations
Covers GPU architecture, deployment, and operating AI workloads - the platform side rather than the modelling side.
Practise NCA-AIIO questions - 5
Best for GPU-accelerated data science
RAPIDS, cuDF, cuML, and Dask for data scientists who want to scale their work onto GPUs.
Practise NCA-ADS questions - 6
Best for AI-assisted development
Proves you can use GitHub Copilot effectively and responsibly across the IDE, CLI, and chat. Aimed at working developers.
Practise GH-300 questions - 7
Best for AI governance and compliance
A non-technical, professional-level credential for governing AI risk, policy, and compliance. Increasingly relevant as AI regulation matures.
Practise AIGP questions - 8
Best for machine-learning engineers
A hands-on professional certification for building, deploying, and operating ML and generative-AI systems on Google Cloud. The most demanding option here.
Practise PMLE questions
Frequently asked questions
- Which AI certification should I start with?
- If you are new to AI, start with the AWS Certified AI Practitioner (AIF-C01). It is foundational and assumes no machine-learning background.
- Do I need to write code for an AI certification?
- It depends on the track. AI governance (AIGP) is non-technical, while the Google Professional Machine Learning Engineer is hands-on and code-heavy. The NVIDIA associate certifications sit in between.
- Are the NVIDIA AI certifications worth it?
- They are a good fit if you work specifically with generative AI, GPUs, or accelerated data science. The associate level is approachable once you know the fundamentals.
Browse the full certification catalogue for every exam we cover.