Introduction to AI in Azure (AI-901T00)

Course Duration

1 Day

Audience

Employees of federal, state and local governments; and businesses working with the government.

Prerequisites

No required prerequisites. Helpful to have basic familiarity with computers and the internet, interest in AI workloads and applications, a basic understanding of math, and familiarity with fundamental programming concepts.

Course Description

This course introduces fundamental concepts related to artificial intelligence (AI), and the services in Microsoft Azure that can be used to create AI solutions. It teaches a mix of AI concepts and technology skills that are considered foundational to a successful career implementing AI solutions on Microsoft Azure.

Learning Objectives

• Describe fundamental AI concepts including generative AI, natural language processing, speech, and computer vision
• Identify Azure services available for building AI solutions
• Understand how large language models (LLMs) work and how to interact with them using prompts
• Get started with text analysis using Azure Language services
• Build speech-enabled applications using Azure Speech services
• Apply computer vision capabilities using multimodal models on Azure
• Extract information from documents and media using Azure AI services
• Use Microsoft Foundry to develop and deploy AI applications
• Understand responsible AI principles and apply them when building AI solutions

Course Outline

Module 1: Introduction to AI Concepts

• Generative AI and agents
• Text and natural language
• Speech
• Computer vision
• Information extraction
• Responsible AI

Module 2: Introduction to Generative AI and Agents

• Large language models (LLMs)
• Prompts
• AI agents

Module 3: Introduction to Natural Language Processing Concepts

• Tokenization
• Statistical text analysis
• Semantic language models

Module 4: Introduction to AI Speech Concepts

• Speech-enabled solutions
• Speech recognition
• Speech synthesis

Module 5: Introduction to Computer Vision Concepts

• Computer vision tasks and techniques
• Images and image processing
• Convolutional neural networks
• Vision transformers and multimodal models
• Image generation

Module 6: Introduction to AI-Powered Information Extraction Concepts

• Overview of information extraction
• Optical character recognition (OCR)
• Field extraction and mapping

Module 7: Get Started with AI in Azure

• Understand Azure
• Developing AI apps on Azure
• Microsoft Foundry for AI
• Using Microsoft Foundry endpoints

Module 8: Get Started with Generative AI and Agents in Azure

• Generative AI models
• Using a generative AI model
• Creating an agent

Module 9: Get Started with Text Analysis in Azure

• Azure Language
• Azure Language SDK
• Azure Language MCP

Module 10: Get Started with Speech in Azure

• Speech recognition
• Speech synthesis
• Creating a speech-capable agent

Module 11: Get Started with Computer Vision in Azure

• Multimodal models for image analysis
• Image generation models
• Video generation models

Module 12: Get Started with AI-Powered Information Extraction in Azure

• Extract information from documents
• Extract information from audio and video

Frequently Asked Questions