Azure Machine Learning
Learning
Learning Paths
In this learning path, you'll embark on an insightful exploration of Microsoft’s Responsible AI framework, learning how to apply ethical principles to the development and use of AI technologies. You start by learning the frameworks that shape Microsoft’s approach to responsible AI, focusing on the commitment to the six responsible AI principles. As you progress, you discover practical ways to integrate these principles into educational environments, ensuring that AI tools not only enhance learning experiences but also uphold values of fairness and privacy. The learning path concludes with hands-on exercises, translating theoretical knowledge into real-world practice. This learning path equips you with the necessary skills to implement responsible AI systems responsibly in any learning environment.
Levels: Beginner
Roles: K-12 Educator, Business User, Higher Education Educator, Data Engineer, School Leader
Modules
In today's fast-paced digital era, artificial intelligence (AI) is changing the way we train and educate. This learning path is designed to equip you with an understanding of how AI tools can transform a learning environment. Throughout this learning path, you'll explore how AI can elevate the training experience, build engaging content, and foster a more inclusive training environment. You'll also explore the advantages of integrating AI-powered productivity tools into your daily educational practices. By the end of this learning path, you'll be equipped to design and implement training ecosystems that apply AI tools to enhance the training process.
Levels: Beginner
Roles: K-12 Educator, Business User, Higher Education Educator, Data Engineer, School Leader
Modules
Discover the world of generative AI, including basic concepts, the different applications in various fields, and the skills necessary to use generative AI tools within training environments. Gain knowledge of large language models (LLMs), AI-powered image generators, and Microsoft Copilot. Explore prompt engineering, navigate the limitations of content created by generative AI models, and learn to utilize generative AI models into your trainings critically and responsibly.
Levels: Beginner
Roles: K-12 Educator, Business User, Higher Education Educator, Data Engineer, School Leader
Modules
Gain the foundational knowledge about the principles of artificial intelligence (AI) and how it's used in educational settings.
Levels: Beginner
Roles: K-12 Educator, Higher Education Educator, Business User, Data Engineer, School Leader
Modules
To train a machine learning model with Azure Machine Learning, you need to make data available and configure compute. After training your model and tracking model metrics with MLflow, you can decide to deploy your model to an endpoint for real-time predictions.
Levels: Beginner
Roles: Data Scientist
Modules
- Make data available in Azure Machine Learning
- Work with compute targets in Azure Machine Learning
- Work with environments in Azure Machine Learning
- Run a training script as a command job in Azure Machine Learning
- Track model training with MLflow in jobs
- Register an MLflow model in Azure Machine Learning
- Deploy a model to a managed online endpoint
Work with generative artificial intelligence (AI) models in Azure Machine Learning
Levels: Intermediate
Roles: Data Scientist
Modules
MLflow model management and responsible AI dashboard in Azure Machine Learning.
Levels: Beginner
Roles: Data Scientist
Modules
Learn how to work with data in Azure Machine Learning. Whether you want to access data in notebooks or scripts, you can read data directly, through datastores, or data assets.
Levels: Beginner
Roles: Data Scientist
Modules
Use notebooks for experimentation with the Azure Machine Learning Python SDK v2.
Levels: Beginner
Roles: Data Scientist
Modules
Learn the fundamentals of deep learning with PyTorch! This beginner friendly learning path will introduce key concepts to building machine learning models in multiple domains include speech, vision, and natural language processing.
Levels: Beginner, Intermediate
Roles: Data Scientist, Developer, Student
Modules
Design a machine learning solution with Azure Machine Learning v2
Levels: Beginner
Roles: Data Scientist
Modules
Azure Machine Learning compute targets and environments with Python SDK v2
Levels: Beginner
Roles: Data Scientist
Modules