Microsoft · on Microsoft Learn
Validates designing, building and deploying generative AI and agentic solutions, computer vision, text analysis and information extraction using Python and Microsoft Foundry. The successor to AI-102, aimed at developers and AI engineers shipping production AI apps on Azure.
Working professionals and career changers. This is an intermediate certification in Professional Certifications, running about Exam: 120 minutes.
Exam fee varies by country (US associate-level Microsoft exams are typically $165). Microsoft page states price is based on the country or region of proctoring. This certification replaces the retired Azure AI Engineer Associate (AI-102). Seen 2026-11-01.
Validates the ability to build, deploy, monitor and operationalize ML models on AWS using SageMaker and related services; AWS recommends at least a year of hands-on experience. The main AWS credential for ML engineers and data scientists now that the ML Specialty exam has retired.
Validates using Databricks and MLflow to perform basic ML tasks including data exploration, feature engineering, model training, tuning and deployment. A practical credential for data scientists and engineers working in Databricks-based lakehouse environments.
A proctored exam on using GitHub Copilot responsibly, its features across plans, data and architecture, prompt engineering and context crafting, developer productivity, and privacy and content-exclusion safeguards. For developers and tech leads who want a recognised credential showing they can use an AI coding assistant well.