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Experiment with Azure Machine Learning
Choose this module if you want to compare models by using automated machine learning, MLflow, and the Responsible AI dashboard.
- Microsoft Learn
- 1 hour
- Self-paced
- Free course
- Free badge
- Beginner
Free online
Learn Azure Machine Learning online: university courses, full YouTube courses, and courses with free certificates, from the IITs, MIT, Harvard, Google, Microsoft and more.
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Choose this module if you want to compare models by using automated machine learning, MLflow, and the Responsible AI dashboard.
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Learn how to prepare audio data, create spectrograms, and build a TensorFlow keyword classification model.
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Choose this module if you want to optimize model training by tuning hyperparameters with sweep jobs in Azure Machine Learning.
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This module provides an overview of Microsoft's responsible AI principles, guidelines, and standards.
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Learn about the history of natural language processing (NLP), including how the Transformer architecture revolutionized the field and helped us create large language models (LLMs). Work with LLMs in Azure Machine Learning through the foundation models in the model catalog.
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Learn how to perform different computer vision tasks using TensorFlow.
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Machine learning is the basis for most modern artificial intelligence solutions. A familiarity with the core concepts on which machine learning is based is an important foundation for understanding AI.
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Discover AI-powered image generators. Learn about image creation tools like Microsoft Image Creator. Understand their potential applications in the workplace and training settings and discover best practices for optimal results. Enhance your skills and transform your creative process with AI-powere…
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Learn about automation for machine learning, machine learning operations, and MLOps.
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Choose this module if you want to automate and validate model training with GitHub Actions and Azure Machine Learning pipelines.
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Discover Microsoft's commitment to ethical AI. Learn about the principles of responsible AI - fairness, reliability & safety, privacy & security, transparency, inclusiveness, and accountability specifically for a learning environment. Principles that are designed to guide and shape the future of AI…
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By understanding the basics of generative AI models, you empower yourself to make responsible decisions when using these models. This knowledge allows you to critically evaluate outputs, assess their reliability, and understand potential limitations leading to more informed and effective interactio…
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This module equips you to configure Azure's foundational security controls for AI workloads. You'll start by configuring Microsoft Entra ID security principals that define *who* and *what* can access your AI resources—from data scientists needing interactive workspace access to managed identities e…
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This module explores fundamental concepts in artificial intelligence (AI) and machine learning.
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In the rapidly advancing landscape of generative AI, the technology behind copilots continues to evolve. Understanding their potential and harnessing their capabilities is essential for any forward-looking entrepreneur. Whether you're a technologist, writer, entrepreneur, or innovator, we invite yo…
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In this module, you learn various AI-powered tools and how to effectively use them in your training sessions for an optimized learning experience.
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Choose this module if you want to design a machine learning training solution and select Azure Machine Learning services and compute.
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In this module, you learn how AI tools can help foster inclusive and adaptive learning environments, enabling trainers to address the varied needs of their learners.
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Choose this module if you want to register, deploy, monitor, and roll back models by using GitHub Actions and protected environments.
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In this module, we explore different neural network architectures for processing natural language texts.