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Microsoft Azure AI Fundamentals AI-900 Exam Guide

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Microsoft Azure AI Fundamentals AI-900 Exam Guide

Instructor: Packt - Course Instructors

Included with

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11 modules

Gain insight into a topic and learn the fundamentals.

Beginner level

Recommended experience

1 week to complete

at 10 hours a week

Flexible schedule

Learn at your own pace

11 modules

Gain insight into a topic and learn the fundamentals.

Beginner level

Recommended experience

1 week to complete

at 10 hours a week

Flexible schedule

Learn at your own pace

What you'll learn

Discover and apply various AI workloads and services in Azure.
Understand Microsoft's principles for responsible AI development.
Explore the fundamentals of AI and machine learning in practical scenarios.

Skills you'll gain

Tools you'll learn

Details to know

Shareable certificate

Add to your LinkedIn profile

See how employees at top companies are mastering in-demand skills

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There are 11 modules in this course

This course provides a clear understanding of core AI concepts, Microsoft Azure AI services, and the essential strategies behind responsible and effective AI implementation. Learners will gain foundational knowledge that is increasingly valuable across technology, business, and data-driven roles.

By exploring real Azure tools and services, you will learn how to apply AI workloads, understand machine learning fundamentals, and recognize key use cases in computer vision, natural language processing, and generative AI. This course equips you with the practical insights needed to confidently prepare for the AI-900 certification and apply your skills professionally. The curriculum blends theory with hands-on examples, providing both conceptual clarity and demonstrations of Azure Machine Learning, Azure Cognitive Services, and Azure OpenAI Service. You’ll see how real-world AI solutions are designed, deployed, and evaluated. This course is ideal for beginners, aspiring AI practitioners, IT professionals, and business users looking to understand AI on Azure. No prior coding or data science experience is required.

In this section, we explore key features of Azure AI workloads, including data monitoring, content moderation, computer vision, and NLP, emphasizing their practical applications in business solutions.

What's included

2 videos4 readings1 assignment

2 videosTotal 2 minutes

Course Overview1 minute
Identify Features of Common AI Workloads - Overview Video1 minute

4 readingsTotal 35 minutes

Introduction5 minutes
Identify Features of Data Monitoring and Anomaly Detection Workloads10 minutes
Identify Computer Vision Workloads10 minutes
Identify Document Intelligence Workloads10 minutes

1 assignmentTotal 10 minutes

Exploring AI Workload Characteristics10 minutes

In this section, we cover key considerations for responsible AI development, including accountability, inclusiveness, and reliability.

What's included

1 video2 readings1 assignment

In this section, we explore regression, classification, and clustering machine learning techniques, focusing on their practical applications and evaluation metrics for data analysis and prediction.

What's included

1 video7 readings1 assignment

1 videoTotal 1 minute

Identify Common Machine Learning Techniques - Overview Video1 minute

7 readingsTotal 100 minutes

Introduction10 minutes
Unsupervised Machine Learning Techniques20 minutes
Mean Squared Error20 minutes
Specificity10 minutes
Evaluation Metrics20 minutes
Davies-Bouldin Index10 minutes
Identify Features of Deep Learning Techniques10 minutes

1 assignmentTotal 10 minutes

Foundations of Machine Learning Techniques10 minutes

In this section, we explore features, labels, and data preparation in machine learning, focusing on training and validation datasets and their roles in model development.

What's included

1 video3 readings1 assignment

In this section, we explore Azure ML capabilities, including AutoML, data services, and model deployment.

What's included

1 video5 readings1 assignment

In this section, we cover computer vision solutions, including image, object, and facial analysis features.

What's included

1 video3 readings1 assignment

In this section, we explore Azure AI Vision, Face, and Video Indexer services for image analysis, facial recognition, and video insights, emphasizing their pre-built and customizable machine learning capabilities.

What's included

1 video2 readings1 assignment

In this section, we explore NLP workload features like key phrase extraction, entity recognition, and sentiment analysis with practical applications.

What's included

1 video3 readings1 assignment

In this section, we explore Azure AI services for NLP tasks, focusing on language analysis, speech processing, and translation capabilities to support application development with text, speech, and multilingual content.

What's included

1 video1 reading1 assignment

In this section, we cover Generative AI features, ethical considerations, and real-world applications.

What's included

1 video5 readings1 assignment

1 videoTotal 1 minute

Identify Features of Generative AI Solutions - Overview Video1 minute

5 readingsTotal 65 minutes

Introduction20 minutes
Embeddings10 minutes
How Does Generative AI Put All This Together5 minutes
Identify Common Scenarios for Generative AI10 minutes
Identify Responsible AI Considerations for Generative AI20 minutes

1 assignmentTotal 10 minutes

Exploring Generative AI Technologies10 minutes

In this section, we cover Azure OpenAI Service's natural language, code, and image generation capabilities for AI applications in Azure.

What's included

1 video2 readings1 assignment

Instructor

Packt - Course Instructors

Packt

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Packt

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Frequently asked questions

Yes, you can preview the first video and view the syllabus before you enroll. You must purchase the course to access content not included in the preview.

If you decide to enroll in the course before the session start date, you will have access to all of the lecture videos and readings for the course. You’ll be able to submit assignments once the session starts.

Once you enroll and your session begins, you will have access to all videos and other resources, including reading items and the course discussion forum. You’ll be able to view and submit practice assessments, and complete required graded assignments to earn a grade and a Course Certificate.

Microsoft Azure AI Fundamentals AI-900 Exam Guide

Microsoft Azure AI Fundamentals AI-900 Exam Guide

What you'll learn

Skills you'll gain

Tools you'll learn

Details to know

See how employees at top companies are mastering in-demand skills

There are 11 modules in this course

Identify Features of Common AI Workloads

What's included

Identify the Guiding Principles for Responsible AI

What's included

Identify Common Machine Learning Techniques

What's included

Describe Core Machine Learning Concepts

What's included

Describe Azure Machine Learning Capabilities

What's included

Identify Common Types of Computer Vision Solutions

What's included

Identify Azure Tools and Services for Computer Vision Tasks

What's included

Identify Features of Common NLP Workload Scenarios

What's included

Identify Azure Tools and Services for NLP Workloads

What's included

Identify Features of Generative AI Solutions

What's included

Identify Capabilities of Azure OpenAI Service

What's included

Instructor

Offered by

Explore more from Cloud Computing

AI-900 - Azure AI Fundamentals and Two Practice Tests

AI-900 MS Azure AI Fundamentals

Preparing for AI-900: Microsoft Azure AI Fundamentals exam

Exam Prep AI-900: Microsoft Certified Azure AI Fundamentals

Why people choose Coursera for their career

Felipe M.

Jennifer J.

Larry W.

Chaitanya A.

Open new doors with Coursera Plus

Advance your career with an online degree

Join over 3,400 global companies that choose Coursera for Business

Frequently asked questions

Can I preview a course before enrolling?

When will I have access to the lectures and assignments?

What will I get when I enroll?

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