AI-900: Introduction to AI in Azure Fundamentals Training

AI-900 Introduction to AI in Azure Fundamentals Training

Microsoft Certified: Azure AI Fundamentals

Dynamics Edge courses and labs are enhanced Instructor-Led Training (ILT) materials, purpose-built for live, guided instruction, structured learning and practical, work-ready skills development.

Unlike Microsoft Learn paths—which are designed for self-paced study—our ILT content follows a carefully crafted curriculum tailored for real-time engagement, interactive Q&A, The structure and flow of our materials are intentionally different to support deeper learning and immediate application.

Overview

You can learn and apply Azure AI Fundamentals to prepare for other Azure role-based certifications like Azure Data Scientist Associate or Azure AI Engineer Associate,

Audience Profile

This certification is intended for you if you have both technical and non-technical backgrounds. Data science and software engineering experience are not required. However, you should have Basic cloud concepts and Client-server applications

AI-900: Introduction to AI in Azure Fundamentals Training

Module 1 – Fundamental AI Concepts

Understand machine learning
Understand computer vision
Understand natural language processing
Understand document intelligence and knowledge mining
Understand generative AI
Challenges and risks with AI
Understand Responsible AI

Module 2 – Fundamentals of machine learning

What is machine learning?
Types of machine learning
Regression
Binary classification
Multiclass classification
Clustering
Deep learning
Azure Machine Learning

Module 3 – Fundamentals of Azure AI services

AI services on the Azure platform
Create Azure AI service resources
Use Azure AI services
Understand authentication for Azure AI services

Module 4 – Fundamentals of Computer Vision

Images and image processing
Machine learning for computer vision
Azure AI Vision

Module 5 – Fundamentals of Facial Recognition

Understand Face analysis
Get started with Face analysis on Azure

Module 6 – Fundamentals of optical character recognition

Get started with Azure AI Vision
Get started with Vision Studio on Azure

Module 7 – Fundamentals of Text Analysis with the Language Service

Understand Text Analytics
Get started with text analysis

Module 8 – Fundamentals of question answering with the Language Service

Understand question answering
Get started with the Language service and Azure Bot Service

Module 9 – Fundamentals of conversational language understanding

Describe conversational language understanding
Get started with conversational language understanding in Azure

Module 10 – Fundamentals of Azure AI Speech

Understand speech recognition and synthesis
Get started with speech on Azure

Module 11 – Fundamentals of Azure AI Document Intelligence

Explore capabilities of document intelligence
Get started with receipt analysis on Azure

Module 12 – Fundamentals of Knowledge Mining and Azure AI Search

What is Azure AI Search?
Identify elements of a search solution
Use a skillset to define an enrichment pipeline
Understand indexes
Use an indexer to build an index
Persist enriched data in a knowledge store
Create an index in the Azure portal
Query data in an Azure AI Search index

Module 13 – Fundamentals of Generative AI

What is generative AI?
What are language models?
Using language models
What are copilots?
Microsoft Copilot
Considerations for Copilot prompts
Extending and developing copilots

Module 14 – Fundamentals of Azure OpenAI Service

What is generative AI
Describe Azure OpenAI
How to use Azure OpenAI
Understand OpenAI’s natural language capabilities
Understand OpenAI code generation capabilities
Understand OpenAI’s image generation capabilities
Describe Azure OpenAI’s access and responsible AI policies

Module 15 – Fundamentals of Responsible Generative AI

Plan a responsible generative AI solution
Identify potential harms
Measure potential harms
Mitigate potential harms
Operate a responsible generative AI solution