Operationalize machine learning and generative AI solutions (AI-300)
AI‑300 focuses on operationalizing machine learning and generative AI on Azure—covering MLOps, GenAIOps, automation, deployment, monitoring, and optimization of production AI systems.
This course covers building secure and scalable AI infrastructure, managing the full lifecycle of traditional machine learning models with Azure Machine Learning, and deploying, evaluating, monitoring, and optimizing generative AI applications and agents using Microsoft Foundry. Learners will gain hands-on knowledge of automation, continuous integration and delivery, infrastructure as code, and observability by using tools such as GitHub Actions, Azure CLI, and Bicep. The course emphasizes collaboration with data science and DevOps teams to deliver reliable, production-ready AI systems aligned with modern MLOps and GenAIOps best practices.
5 courses found
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- Delivery Format: Virtual Learning
- Date 16-19 November, 2026 | 9:00 AM to 5:00 PM
- Location: Virtual (Eastern Standard Time)
- Language: English
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Guaranteed To Run
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- Delivery Format: Virtual Learning
- Date 02-05 February, 2027 | 8:30 AM to 4:30 PM
- Location: Virtual (Eastern Standard Time)
- Language: English
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- Delivery Format: Virtual Learning
- Date 04-07 May, 2027 | 8:30 AM to 4:30 PM
- Location: Virtual (Eastern Standard Time)
- Language: English
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- Delivery Format: Virtual Learning
- Date 02-05 August, 2027 | 8:30 AM to 4:30 PM
- Location: Virtual (Eastern Standard Time)
- Language: English
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- Delivery Format: Virtual Learning
- Date 25-28 October, 2027 | 8:30 AM to 4:30 PM
- Location: Virtual (Eastern Standard Time)
- Language: English
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