
CourseraMicrosoft's intermediate-level certificate is aimed at the engineering side of AI, not the modeling theory — deployment, scalability, and infrastructure are the throughline. It's a good match for anyone who already understands ML basics and wants to learn how those models actually get built into production systems.
Learners with some ML or software background ready to move into intermediate-level engineering work: building, deploying, and maintaining AI systems at scale rather than training models in a notebook.
Over 54,000 learners have enrolled, reflecting strong demand for engineers who can bridge the gap between AI research and reliable, production-grade systems.
Skills you'll gain: Artificial Intelligence and Machine Learning (AI\u002FML), Machine Learning, Data Preprocessing, Data Security, Scalability, Application Frameworks, Data Pipelines, Infrastructure Architecture, Data Cleansing, MLOps (Machine Learning Operations), Artificial Intelligence, AI Integrations, AI Workflows, Data Infrastructure, Data Management.
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