Microsoft Azure AI Fundamentals (authorized course AI 900T00)

Overview

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.

The course is designed as a blended learning experience that combines instructor-led training with online materials on the Microsoft Learn platform. 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.

Participant Profile

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.

After completing this course, you will be able to:

• Describe artificial intelligence workloads and related considerations
• Describe core principles of machine learning in Azure
• Describe features of computer vision solutions in Azure
• Describe features of natural language processing (NLP) solutions in Azure
• Describe features of conversational AI solutions in Azure

Prerequisites

Prerequisite certification is not required prior to attending this course. Azure AI Fundamentals course participants begin learning with a basic awareness of computer and internet concepts, along with a desire to leverage Azure AI services. In particular:

• Experience using computers and the Internet.
• Interest in AI application use cases and machine learning models.
• Eagerness to learn through hands-on exercises and experimentation.

Introduction to Artificial Intelligence

• Introduction to AI concepts and common AI workloads
• AI capabilities and use cases in Microsoft Azure
• Understanding machine learning, computer vision, natural language processing, and conversational AI
• Introduction to Responsible AI principles
• Key considerations for implementing AI solutions

Machine Learning

• Introduction to core machine learning concepts
• Understanding typical workloads and applications of machine learning
• Machine learning processes and model building
• Introduction to Microsoft Azure Machine Learning
• Working with datasets, models, and machine learning solutions in Azure
• Hands-on exploration of machine learning capabilities

Computer Vision

• Introduction to computer vision concepts and common applications
• Understanding image classification, object detection, and image analysis
• Optical Character Recognition (OCR) and text extraction
• Computer vision capabilities available in Azure
• Overview of Azure AI Vision services
• Hands-on exercises using computer vision solutions

Natural Language Processing (NLP)

• Introduction to Natural Language Processing (NLP)
• Understanding typical NLP workloads and applications
• Text analysis and language understanding
• Sentiment analysis and key phrase extraction
• Entity recognition and language detection
• Speech and language capabilities available in Azure
• Exploring Azure AI Language services through hands-on exercises

Conversational AI

• Introduction to conversational AI concepts
• Understanding chatbots and virtual agents
• Natural language understanding in conversational applications
• Conversational AI capabilities available in Azure
• Introduction to Azure AI services for building conversational solutions
• Hands-on exploration of conversational AI through exercises

Applying AI Concepts in Practice

• Selecting appropriate Azure AI services for typical business scenarios
• Identifying proper AI workloads based on requirements
• Combining Azure AI capabilities to build AI-driven solutions
• Overview of practical use cases and solution scenarios
• Summary of key Azure AI concepts and services
• Additional learning resources and next steps