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Azure AI Fundamentals & Beyond (AI-900 & AI-050) (3 after-hours sessions)

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Azure AI Fundamentals & Beyond (AI-900 & AI-050) (3 after-hours sessions) Course Outline

Special Note to New Hampshire Residents
This course has not yet been approved by the New Hampshire Department of Education. Please contact us for an update on when the class will be available in New Hampshire.

Special Microsoft AI Summit Event
This class is a specially-priced certification event that is subsidized by Microsoft. It combines content from two courses as well as a certification exam voucher.

NOTE: This course is in a cohort-based learning format that combines live, instructor-led training with self-paced study. The course will meet online with the instructor for approximately 2 hours each week (3 live sessions spread over a 3-week period. Hover your mouse on the course date to view dates & times). In addition to the live class time participants should expect to spend 2 to 3 hours per week on self-study and labs.

This course introduces fundamental 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.

The course combines Microsoft Official content for AI Fundamentals certification and goes beyond the fundamentals with content from the AI-050 course, Developing Generative AI Solutions with Azure OpenAI Service.

Preparation for Microsoft exam: AI-900

Bonus: Certification Voucher
As a part of the Microsoft Generative AI Summit, participants are eligible to receive a free Certification Exam Voucher for the AI Fundamentals certification offered by Microsoft.

Audience profile
The Azure AI Fundamentals course is designed for anyone interested in learning about the types of solutions 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 using Microsoft Azure before taking this course, but a basic familiarity with computer technology and the Internet is assumed.

Some of the concepts covered 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 is helpful.

Familiarity with computers and using a web browser.

Skills gained
• Describe Artificial Intelligence workloads and considerations
• Describe fundamental principles of machine learning on Azure
• Describe features of computer vision workloads on Azure
• Describe features of Natural Language Processing (NLP) workloads on Azure
• Describe features of conversational AI workloads on Azure


Module 1: Introduction to AI
In this module, you'll learn about common uses of artificial intelligence (AI) and the different types of workloads associated with AI. You'll then explore considerations and principles for responsible AI development.
Artificial Intelligence in Azure
Responsible AI

Module 2: 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.
Introduction to Machine Learning
Azure Machine Learning

Module 3: Computer Vision
Computer vision is an 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.
Computer Vision Concepts
Computer Vision in Azure

Module 4: 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.

Module 5: Conversational AI
Conversational AI enables users to engage in a dialog with an AI agent, or bot, through communication channels such as email, webchat interfaces, social media, and others. This module describes some basic principles for working with bots and gives you an opportunity to create a bot that can respond intelligently to user questions.
Conversational AI Concepts
Conversational AI in Azure


Introduction to OpenAI Service
What is generative AI
Azure OpenAI
How to use Azure OpenAI
OpenAI's natural language capabilities
OpenAI code generation capabilities
OpenAI's image generation capabilities
Azure OpenAI's access and responsible AI policies
Exercise - Explore Azure OpenAI Service

Get started with Azure OpenAI Service
Access Azure OpenAI Service
Use Azure OpenAI Studio
Explore types of generative AI models
Deploy generative AI models
Use prompts to get completions from models
Test models in Azure OpenAI Studio's playgrounds
Exercise - Get started with Azure OpenAI Service

Build natural language solutions with Azure OpenAI Service
Integrate Azure OpenAI into your app
Use Azure OpenAI REST API
Use Azure OpenAI SDK
Exercise - Integrate Azure OpenAI into your app

Apply prompt engineering with Azure OpenAI Service
Understand prompt engineering
Write more effective prompts
Provide context to improve accuracy
Exercise - Utilize prompt engineering in your application

View outline in Word


Attend hands-on, instructor-led Azure AI Fundamentals & Beyond (AI-900 & AI-050) (3 after-hours sessions) training classes at ONLC's more than 300 locations. Not near one of our locations? Attend these same live classes from your home/office PC via our Remote Classroom Instruction (RCI) technology.

For additional training options, check out our list of Azure Courses and select the one that's right for you.


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