• Course overview
  • Course details
  • Prerequisites

Course overview

About this course

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 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.

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Course details

Module 1: Experiment with Azure Machine Learning

Module 2: Perform hyperparameter tuning with Azure Machine Learning

Module 3: Run pipelines in Azure Machine Learning

Module 4: Trigger Azure Machine Learning jobs with GitHub Actions

Module 5: Trigger GitHub Actions with feature-based development

Module 6: Work with environments in GitHub Actions

Module 7: Deploy a model with GitHub Actions

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Prerequisites

  • Programming experience with Python or R
  • Experience developing and training machine learning models
  • Familiarity with basic Azure Machine Learning concepts

Our Technology Partners

Spectrum Networks is the Authorised Learning Partner for some of the leaders in IT technology for Digital Transformation