Microsoft Azure AI Fundamentals (AI-900) Training
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.
Azure AI Fundamentals (AI-900)
Course Overview
The hands-on exercises in the course are based on Learn modules, and students are encouraged to use the content on Learn as reference materials to reinforce what they learn in the class and to explore topics in more depth.
Course Objectives
In this course, you will:
- Describe Artificial Intelligence workloads and considerations (20–25%)
- Describe fundamental principles of machine learning on Azure (25–30%)
- Describe features of computer vision workloads on Azure (15–20%)
- Describe features of Natural Language Processing (NLP) workloads on Azure (25–30%)
Course Outline
- Lesson 1: Explore Fundamentals of Artificial Intelligence
- In this module, you’ll learn about common uses of artificial intelligence (AI), and the different types of workload associated with AI. You’ll then explore considerations and principles for responsible AI development.
- Lessons
- Introduction to Artificial Intelligence
- Artificial Intelligence in Microsoft Azure
- After completing this module, students will be able to:
- Describe Artificial Intelligence workloads and considerations
- Lesson 2: Explore Fundamentals of Machine Learning
- Machine learning is the foundation for modern AI solutions. In this module, you’ll learn about some fundamental machine learning concepts, and how to use the Azure Machine Learning service to create and publish machine learning models.
- Lessons
- Introduction to Machine Learning
- Azure Machine Learning
- After completing this module, students will be able to:
- Describe fundamental principles of machine learning on Azure
- Lesson 3: Explore Fundamentals of Computer Vision
- Computer vision is the area of AI that deals with understanding the world visually, through images, video files, and cameras. In this module, you’ll explore multiple computer vision techniques and services.
- Lessons
- Computer Vision Concepts
- Creating Computer Vision solutions in Azure
- After completing this module, students will be able to:
- Describe features of computer vision workloads on Azure
- Lesson 4: Explore Fundamentals of Natural Language Processing
- This module describes scenarios for AI solutions that can process written and spoken language. You’ll learn about Azure services that can be used to build solutions that analyze text, recognize and synthesize speech, translate between languages, and interpret commands.
- Lessons
- Introduction to Natural Language Processing
- Building Natural Language Solutions in Azure
- After completing this module, students will be able to:
- Describe features of Natural Language Processing (NLP) workloads on Azure
Intended Audience
The Azure AI Fundamentals course is designed for anyone interested in learning about the types of solution artificial intelligence (AI) makes possible, and the services on Microsoft Azure that you can use to create them. You don’t need to have any experience of using Microsoft Azure before taking this course, but a basic level of familiarity with computer technology and the Internet is assumed. Some of the concepts covered in the course require a basic understanding of mathematics, such as the ability to interpret charts. The course includes hands-on activities that involve working with data and running code, so a knowledge of fundamental programming principles will be helpful.
Prerequisites
Prerequisite certification is not required before taking this course. Successful Azure AI Fundamental students start with some basic awareness of computing and internet concepts, and an interest in using Azure AI services.
Specifically:
- Experience using computers and the internet
- Interest in use cases for AI applications and machine learning models
- A willingness to learn through hands-on exploration
Follow-On Courses
Related training topics
Justify your training
Use this sample request letter — copy it into an email to your manager and personalize the bracketed details to make the case for the time and budget.
Sample training request letter
Subject: Request for AI & AI Security training from Applied Technology Academy
[Decision Maker Name],
I'm writing to request time and budget approval to complete Applied Technology Academy's course, Microsoft Azure AI Fundamentals (AI-900) Training. The information below outlines how this training benefits our organization, the tasks I'll be able to perform after completing it, and relevant cost and funding details.
Course Description
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. Applied Technology Academy is an award-winning, SBA-certified woman-owned training provider (est. 2008) whose instructors are active practitioners; the course is hands-on with virtual labs and a learn-by-doing methodology.
Course Objectives
Once I've completed the course, I'll have hands-on, job-ready skills in ai & ai security that I can apply immediately to our work.
Expected Organizational Benefits
After completing this course, I will be better equipped to apply these skills directly to our projects, reduce our reliance on outside expertise, strengthen our team's capabilities, and share what I learn with colleagues.
Expected Cost & Funding
Course fee: [request an itemized quote at the link below]. Applied Technology Academy supports multiple funding paths that may reduce or cover this cost: GSA MAS purchasing and government purchase orders, military credentialing funding (Army CA, AF COOL, CG COOL), VA GI Bill and VR&E, ATA Flexible Spending, and student financing. Private team cohorts are available if colleagues should attend with me.
Conclusion
This training provides practical, hands-on experience I can apply immediately to strengthen our work in ai & ai security. Additional course information is available at https://appliedtechnologyacademy.com/microsoft-training/microsoft-azure-ai-fundamentals-ai-900/.
Thank you for your consideration,
[Your Name]
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