Operationalize machine learning and generative AI solutions | AI-300 | AI300
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Operationalize machine learning and generative AI solutions | AI-300 | AI300
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Description
Operationalize machine learning and generative AI solutions | AI-300 | AI300
This course prepares learners to design, implement, and operate Machine Learning Operations (MLOps) and Generative AI Operations (GenAIOps) solutions on Azure. It 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…
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Operationalize machine learning and generative AI solutions | AI-300 | AI300
This course prepares learners to design, implement, and operate Machine Learning Operations (MLOps) and Generative AI Operations (GenAIOps) solutions on Azure. It 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.
Voorkennis
Basic understanding of machine learning concepts, Python programming, and familiarity with Azure Machine Learning and DevOps fundamentals is recommended.
Voor wie
This course is intended for data scientists, machine learning engineers, and DevOps professionals who want to design and operate production-grade AI solutions on Azure. It is suited for learners with experience in Python, a foundational understanding of machine learning concepts, and basic familiarity with DevOps practices such as source control, CI/CD, and command-line tools, who are preparing to implement MLOps and GenAIOps workflows using Azure-native services.
Doelstellingen
By the end of this course, learners will be able to design, deploy, automate, monitor, and optimize machine learning and generative AI solutions on Azure using MLOps and GenAIOps practices to deliver secure, scalable, and production‑ready AI systems.
Inhoud
– Operationalize machine learning models (MLOps)
– Operationalize generative AI applications (GenAIOps)
Exclusief examen
AI-300 | Operationalizing Machine Learning and Generative AI solutions
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Duur
4 dagen
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