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.
Microsoft Azure AI Fundamentals AI-900 Exam Guide
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.
Details to know
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Recently updated!
February 2026
Assessments
11 assignments
Taught in English
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There are 11 modules in this course
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
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
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
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
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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.
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