Opleiding: Operationalize machine learning and generative AI solutions (AI-300)
Learn how to build and manage Azure-based MLOps and GenAIOps solutions from development through deployment.
Description
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.
Audience Profile
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 who are preparing to implement MLOps and GenAIOps workflows using Azure-native services.
Certification
This course prepares you for the Associate exam AI-300 (Microsoft Certified: Machine Learning Operations Engineer Associate).
Learning Goals
- Implement end-to-end machine learning operations (MLOps) with Azure Machine Learning [Apply]
Subjects
- Operationalize machine learning models (MLOps)
- Operationalize generative AI applications (GenAIOps)
- Experiment with Azure Machine Learning
- Perform hyperparameter tuning with Azure Machine Learning
- Run pipelines in Azure Machine Learning
- Trigger Azure Machine Learning jobs with GitHub Actions
- Trigger Github Actions with feature-based development
- Work with environments in GitHub Actions
- Deploy a model with Github Actions
- Plan and prepare GenAIOps solutions
- Manage prompts for agents in Microsoft Foundry with GitHub
- Evaluate and optimize AI agents through structured experiments
- Automate AI evaluations with Microsoft Foundry and GitHub Actions
- Monitor your generative AI application
- Analyze and debug your generative AI app with tracing
