AI-900: Introduction to AI in Azure

Unlock the potential of artificial intelligence with AI-900: Introduction to AI in Azure, an instructor-led training designed for business and technical professionals who want to understand how Microsoft Azure powers modern AI solutions. This foundational course introduces key AI concepts and shows how services like Azure AI Services, Azure Machine Learning, and Cognitive Services enable intelligent apps, workflows, and analytics.

Through real-world use cases and engaging instruction, you’ll explore machine learning, computer vision, natural language processing, and responsible AI principles—all without needing a background in data science or software development.

Audience Profile

This course is designed for:

• Business decision-makers and product managers exploring AI solutions in Azure

• Developers and technical professionals evaluating Azure AI tools and platforms

• Beginners preparing for the Microsoft Certified: Azure AI Fundamentals certification

• Organizations building intelligent applications, chatbots, or automations with AI

No prior coding or data science experience is required—just curiosity about AI and how it applies to real business problems.

What You’ll Learn

By the end of this Azure AI course, you’ll understand how Microsoft Azure enables AI across services and industries, with a strong foundation in terminology, ethical considerations, and platform capabilities.

Course Outline

1. Describe Artificial Intelligence Workloads and Considerations
Understand common AI workloads like machine learning, knowledge mining, and cognitive services. Learn how AI is transforming industries through real-world applications and decision-making enhancements.

2. Describe Fundamental Principles of Machine Learning on Azure
Explore supervised and unsupervised learning, model training, and evaluation. Learn how Azure Machine Learning simplifies the development, deployment, and lifecycle management of ML models.

3. Describe Features of Computer Vision Workloads on Azure
See how Azure AI Vision enables image and video analysis. Discover capabilities like object detection, facial recognition, and image classification using prebuilt and custom models.

4. Describe Features of Natural Language Processing (NLP) Workloads on Azure
Dive into language understanding, text analytics, translation, and speech-to-text with Azure AI Language and Speech services. Learn how Azure processes and interprets language at scale.

5. Describe Features of Conversational AI Workloads on Azure
Explore how to build AI-powered chatbots using Azure Bot Services and Copilot Studio. Understand key design patterns, integration with LLMs, and natural interactions across channels.

6. Understand Responsible AI
Review Microsoft’s approach to Responsible AI, including principles of fairness, transparency, privacy, and accountability. Learn how tools like Content Safety and AI dashboards help enforce ethical AI usage.

Hands-On Learning

This course is 40% to 50% hands-on, providing guided exercises and practical demos in the Azure portal. You'll get first-hand experience deploying intelligent solutions—no prior coding required.