AI and machine learning courses, collected from official learning catalogs.
Microsoft Learn · artificial-intelligence, data-management
Relevant for: Researcher
Azure Databricks is a cloud-scale platform for data analytics and machine learning. Data scientists and machine learning engineers can use Azure Databricks to implement machine learning solutions at scale. (DP-3014)
Microsoft Learn · machine-learning
Relevant for: Developer, Researcher
Machine learning is the foundation for predictive modeling and artificial intelligence. Learn some of the core principles of machine learning and how to use common tools and frameworks to train, evaluate, and use machine learning models.
Microsoft Learn · artificial-intelligence
Relevant for: Developer, Researcher
Learn how to develop generative AI apps in Microsoft Foundry. (AI-3016)
DeepLearning.AI · AI and machine learning
Relevant for: Researcher
Understand the generative AI lifecycle. Describe transformer architecture powering LLMs. Apply training/tuning/inference methods. Hear from researchers on generative AI challenges/opportunities.
Microsoft Learn · machine-learning, data-analytics
Relevant for: Developer, Researcher
Explore the data science process and learn how to train machine learning models to accomplish artificial intelligence in Microsoft Fabric. (DP-604T00)
Microsoft Learn · artificial-intelligence, machine-learning
Relevant for: Developer, Researcher
Generative Artificial Intelligence (AI) engineering with Azure Databricks uses the platform's capabilities to explore, fine-tune, evaluate, and integrate advanced language models. By using Apache Spark's scalability and Azure Databricks' collaborative environment, you can design complex AI systems.
Microsoft Learn · AI and machine learning
Relevant for: Researcher
Introduction to machine learning operations (MLOps)
Microsoft Learn · artificial-intelligence
Relevant for: Developer, Researcher
Learn how Microsoft AI (MAI) models work and how to use them in your applications.
Microsoft Learn · AI and machine learning
Relevant for: Developer, Architect, Researcher, Security
Optimize your AI operations with the "Monitor AI Workloads on Azure" learning path. Through targeted modules, you learn to monitor Azure AI services, evaluate the performance of AI applications with Azure Monitor, and explore the fundamentals of monitoring AI models with Azure AI Foundry. This path equips professionals with the skills to ensure efficient, reliable, and high-performing AI workloads on Azure's robust platform. Start mastering AI monitoring strategies today!
Microsoft Learn · artificial-intelligence, machine-learning
Relevant for: Developer, Researcher
Learn the full GenAIOps lifecycle for generative AI applications, from planning and prompt management to evaluation, automated testing, monitoring, and tracing in production.
Microsoft Learn · artificial-intelligence, machine-learning
Relevant for: Researcher
Learn how to design, train, optimize, automate, deploy, and monitor machine learning models with Azure Machine Learning and GitHub Actions.
Microsoft Learn · data-analytics, data-engineering
Relevant for: Developer, Researcher
Explore how to work smarter with Copilot in Microsoft Fabric. Learn how to integrate, transform, store data, and create insightful reports using Copilot in Microsoft Fabric.
Microsoft Learn · machine-learning
Relevant for: Researcher
Work with generative artificial intelligence (AI) models in Azure Machine Learning
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