Microsoft Learn Series

Microsoft Azure AI Fundamentals (AI-900) Guide

Master Generative AI, Azure OpenAI Service, Microsoft Copilot Studio, Computer Vision, and Responsible AI with free Microsoft Learn paths.

~8 to 12 Hours (Self-Paced) Prepares for AI-900 Exam Beginner-Friendly

What is Microsoft Azure AI Fundamentals (AI-900)?

Microsoft Azure AI Fundamentals (AI-900) is designed to give learners a comprehensive understanding of artificial intelligence workloads, machine learning principles, and modern Generative AI services hosted on Microsoft Azure.

Through free interactive modules, you will explore Azure OpenAI Service capabilities, learn how to build custom AI assistants in Microsoft Copilot Studio, extract text with Azure AI Vision, and apply Responsible AI governance principles.

Learning Path & 5 Core Modules

1

Describe Artificial Intelligence Workloads & Considerations

Understand foundational AI concepts, Machine Learning paradigms (Supervised vs Unsupervised), Deep Learning, and Microsoft Responsible AI principles (Fairness, Reliability, Safety, Privacy, Inclusiveness, Transparency, Accountability).

2

Describe Fundamental Principles of Machine Learning on Azure

Learn automated machine learning (AutoML) with Azure Machine Learning studio, regression, classification, and clustering models.

3

Describe Features of Computer Vision Workloads

Explore image classification, object detection, optical character recognition (OCR), and spatial analysis using Azure AI Vision.

4

Describe Features of Natural Language Processing (NLP)

Analyze text sentiment, entity extraction, key phrase extraction, speech recognition, and translation using Azure AI Language.

5

Describe Features of Generative AI Workloads

Understand Large Language Models (LLMs), prompt engineering, fine-tuning, Azure OpenAI Service deployment, and building custom Copilots in Microsoft Copilot Studio.

Key AI Technologies Mastered

Azure OpenAI & Copilot

Deploying LLMs, prompt engineering, and Copilot Studio bots.

Azure AI Vision

Object detection, OCR document parsing, and facial analysis.

Azure AI Language

Sentiment analysis, entity recognition, and speech translation.

Responsible AI Principles

Ethics, privacy protection, fairness, and hallucination reduction.

Career Path & Next Steps

1. Practice AI & Prompting Tasks

Build practical portfolio proof of work tasks in structured prompt engineering, AI rubrics, and agent flows.

Explore AI & Prompting Tasks

2. View Google AI Essentials Guide

Compare Microsoft Azure AI with Google Generative AI tools and workplace prompt frameworks.

Google AI Essentials Guide

Frequently Asked Questions

How long does Microsoft Azure AI Fundamentals (AI-900) take to complete?

The learning paths take approximately 8 to 12 hours to complete on Microsoft Learn. It is completely self-paced and 100% free.

Does this guide cover Microsoft Copilot and Generative AI?

Yes! Microsoft updated the AI-900 curriculum to heavily feature Generative AI, Azure OpenAI Service, RAG (Retrieval-Augmented Generation), and Microsoft Copilot Studio.

Do I need a computer science degree or coding experience?

No prior programming background is required. AI-900 is beginner-friendly and designed for non-developers, analysts, and tech enthusiasts.