NVIDIA Generative AI LLMs Associate (NCA-GENL)
NVIDIA’s entry-level generative AI exam: machine learning basics, building LLM apps, experimentation and trustworthy AI, in one hour. Open to anyone; US$125.
Honest, standard-format guides to AI certifications from Anthropic, AWS, Microsoft, Google Cloud and GitHub. Each one gives a quick verdict, our 1–5 ratings, what the exam tests, and who should and shouldn’t take it.
NVIDIA’s entry-level generative AI exam: machine learning basics, building LLM apps, experimentation and trustworthy AI, in one hour. Open to anyone; US$125.
NVIDIA’s model-side LLM exam: fine-tuning, distributed training, GPU optimisation and deployment, for ML engineers with 2–3 years’ experience. Open to anyone; US$200.
NVIDIA’s agentic AI exam: agent architecture, development, evaluation, deployment and human oversight, with only 7% on NVIDIA’s own platform. Open to anyone; US$200.
GitHub’s exam on using Copilot well: features, agent mode, MCP, prompting, privacy and responsible use. Open to anyone; fee varies by country.
Google Cloud’s non-technical gen AI exam: fundamentals, Google’s AI products, better model output and business strategy. Open to anyone; US$99.
Google Cloud’s long-established ML exam: training, serving, pipelines and monitoring on Agent Platform and BigQuery ML. Open to anyone; US$200.
Google Cloud’s newest Professional exam: designing, building and securing agentic AI, with mandatory hands-on labs. Open to anyone; US$200 (registration reopens 2 November 2026).
Microsoft’s no-code exam on getting real work done with Microsoft 365 Copilot and its agents. Open to anyone; fee varies by country.
Microsoft’s no-code exam for leaders planning AI adoption: business value, Microsoft’s AI portfolio and rollout strategy. Open to anyone; fee varies by country.
Microsoft’s entry exam for building AI on Azure, replacing AI-900: AI concepts plus hands-on Microsoft Foundry. Open to anyone; US$99 in the US.