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This course introduces fundamentals concepts related to artificial intelligence (AI), and the services in Microsoft Azure that can be used to create AI solutions. The course is not designed to teach students to become professional data scientists or software developers, but rather to build awareness of common AI workloads and the ability to identify Azure services to support them.
Learning Outcomes:
Describe the principles of responsible AI
Explore fundamental concepts of machine learning on Azure
Describe Artificial Intelligence (AI) workloads and considerations
- Describe features of generative AI workloads on Azure
Key Topics:
Identify features of common AI workloads, including machine learning, knowledge mining, and conversational AI
Identify common types of machine learning and their use cases
- Describe features of Natural Language Processing (NLP) workloads on Azure
Exam Details
This course is designed to build participants’ understanding of key concepts and domains covered in the AI-901: Microsoft Azure AI Fundamentals certification.
While the course provides foundational preparation aligned with the certification, the exam is not bundled and must be registered separately.
To maximise success, participants are strongly encouraged to complement the course with additional self-study, revision of course materials, and dedicated practice before attempting the exam.
Modiule 1. Introduction to AI concepts
This module introduces you to the world of AI.
Modiule 2. Introduction to machine learning concepts
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.
Modiule 3. Get started with machine learning in Azure
Learn how to design a model training solution for machine learning projects.
Modiule 4. 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.
Modiule 5. Get started with generative AI in Azure
Learn how you can build generative AI applications in Azure AI Foundry portal. Understand how to use Azure AI Foundry portal’s extensive model marketplace, playgrounds, and evolving features.
Modiule 6. Introduction to natural language processing concepts
Natural language processing (NLP) supports applications that can see, hear, speak with, and understand users. In this module you learn about the concepts that make NLP possible.
Modiule 7. Get started with natural language processing in Azure
Explore Azure AI Language's natural language processing (NLP) features, which include sentiment analysis, key phrase extraction, named entity recognition, and language detection.
Modiule 8. 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.
Modiule 9. Get started with speech in Azure
Learn how to recognize and synthesize speech by using Azure AI Speech.
Modiule 10. Introduction to computer vision concepts
Introduction to computer vision concepts
Modiule 11. Get started with computer vision in Azure
Azure AI Vision service enables software engineers to create intelligent solutions that extract information from images; a common task in many artificial intelligence (AI) scenarios.
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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