Course data sheet
Introduction to AI in Azure (AI-901T00)
H54PBS
Table of Contents
Overview
This course introduces fundamental concepts related to artificial intelligence (AI), and the services in Microsoft Azure that can be used to create AI solutions. It teaches a mix of AI concepts and technology skills that are considered foundational to a successful career implementing AI solutions on Microsoft Azure.
Audience
This course is ideal for aspiring technology professionals at the beginning of their career in AI solution development.
Prerequisites
Before attending this course, you should have:
- Some knowledge of Python coding syntax and programming techniques
- Knowledge of core cloud concepts, including cloud storage, cloud compute, and cloud-based authentication and authorization
- A basic understanding of computing concepts and math
- A basic understanding of computing concepts and Python
Objectives
After completing this course, you should be able to:
- Understand AI concepts for developers and technology professionals
- Know how to get started with AI applications and agents on Azure
Certifications and related exams
This course prepares you for the following certification exam:
Exam AI-901: Microsoft Azure AI Fundamentals (beta)
Course outline
| Module 1: Introduction to AI Concepts | Curious about artificial intelligence? Want to understand what the buzz is about? This module introduces you to the world of AI.
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| Module 2: Introduction to Generative AI and Agents | Generative AI powers applications that can create content, answer questions, and assist with tasks. In this module, you'll explore the fundamentals of generative AI, including large language models (LLMs), prompts, and AI agents.
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| Module 3: Introduction to Natural Language Processing Concepts | Natural language processing (NLP) supports applications that can analyse text to infer semantic meaning.
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| Module 4: Introduction to AI Speech Concepts | Imagine AI apps and agents that you can talk to. Explore the concepts behind AI speech, including speech recognition and synthesis.
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| Module 5: Introduction to Computer Vision Concepts | Introduction to computer vision concepts.
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| Module 6: Introduction to AI-powered Information Extraction Concepts | AI information extraction enables you to extract data values from documents, images, and other unstructured data sources.
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| Module 7:Get Started with AI in Azure | Learn how Microsoft enables you to build AI with the latest technology, securely, and at scale.
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| Module 8: Get Started with Generative AI and Agents in Azure | Learn how to use generative AI models and agents with Microsoft Foundry.
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| Module 9: Get Started with Text Analysis in Azure | Explore Azure Language's text analysis features, which include sentiment analysis, key phrase extraction, named entity recognition, and language detection.
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| Module 10: Get Started with Speech in Azure | Learn how to recognize and synthesize speech using Azure Speech in Foundry Tools.
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| Module 11: Get Started with Computer Vision in Azure | This module introduces computer vision capabilities in Foundry, focusing on how developers can analyze images and generate visual content using multimodal, image‑generation, and video‑generation models.
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| Module 12: Get Started with AI-powered Information Extraction in Azure | AI gives you the power to unlock insights from your data. Learn how to use Azure Content Understanding in Foundry Tools to extract information from content.
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a50015214enw, H54PBS A.00, March 2026