Skip to main content

Introduction to AI in Azure (AI-901T00)

H54PBS

Table of Contents

Table of Contents

    Course ID

    H54PBS

    Duration

    1 day

    Format

    ILT/VILT

    Overview

    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.

    Course ID

    H54PBS

    Duration

    1 day

    Format

    ILT/VILT

    Audience

    This course is ideal for aspiring technology professionals at the beginning of their career in AI solution development.

    Prerequisites

    Before attending this course, you should have:

    • Some knowledge of Python coding syntax and programming techniques
    • Knowledge of core cloud concepts, including cloud storage, cloud compute, and cloud-based authentication and authorization
    • A basic understanding of computing concepts and math
    • A basic understanding of computing concepts and Python

    Objectives

    After completing this course, you should be able to:

    • Understand AI concepts for developers and technology professionals
    • Know how to get started with AI applications and agents on Azure

    Certifications and related exams

    This course prepares you for the following certification exam:

    Exam AI-901: Microsoft Azure AI Fundamentals (beta)

    Divider

    Course outline

    Module 1: Introduction to AI Concepts


    Curious about artificial intelligence? Want to understand what the buzz is about? This module introduces you to the world of AI.

    • Introduction to AI
    • Generative AI and agents
    • Text and natural language
    • Speech
    • Computer vision
    • Information extraction
    • Responsible AI
    • Exercise - Explore a simple AI agent
    • Module assessment
    • Summary

    Module 2: Introduction to Generative AI and Agents

    Generative AI powers applications that can create content, answer questions, and assist with tasks. In this module, you'll explore the fundamentals of generative AI, including large language models (LLMs), prompts, and AI agents.

    • Introduction
    • Large language models (LLMs)
    • Prompts
    • AI agents
    • Exercise - Explore generative AI
    • Module assessment
    • Summary

    Module 3: Introduction to Natural Language Processing Concepts


    Natural language processing (NLP) supports applications that can analyse text to infer semantic meaning.

    • Introduction
    • Tokenization
    • Statistical text analysis.
    • Semantic language models
    • Exercise - Explore text analytics
    • Module assessment
    • Summary

    Module 4: Introduction to AI Speech Concepts


    Imagine AI apps and agents that you can talk to. Explore the concepts behind AI speech, including speech recognition and synthesis.

    • Introduction
    • Speech-enabled solutions
    • Speech recognition
    • Speech synthesis
    • Exercise - Explore AI speech
    • Module assessment
    • Summary

    Module 5: Introduction to Computer Vision Concepts


    Introduction to computer vision concepts.

    • Introduction
    • Computer vision tasks and techniques
    • Images and image processing
    • Convolutional neural networks
    • Vision transformers and multimodal models
    • Image generation
    • Exercise - Explore computer vision
    • Module assessment
    • Summary

    Module 6: Introduction to AI-powered Information Extraction Concepts


    AI information extraction enables you to extract data values from documents, images, and other unstructured data sources.

    • Introduction
    • Overview of information extraction
    • Optical character recognition (OCR)
    • Field extraction and mapping
    • Exercise - Explore AI information extraction
    • Module assessment
    • Summary

    Module 7:Get Started with AI in Azure


    Learn how Microsoft enables you to build AI with the latest technology, securely, and at scale.

    • Introduction
    • Understand Azure
    • Developing AI apps on Azure
    • Microsoft Foundry for AI
    • Using Microsoft Foundry endpoints
    • Exercise - Get started with Microsoft Foundry
    • Knowledge check
    • Summary

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

    Learn how to use generative AI models and agents with Microsoft Foundry.

    • Introduction
    • Generative AI models
    • Using a generative AI model
    • Creating an agent
    • Exercise - Get started with generative AI and agents in Microsoft Foundry
    • Knowledge check
    • Summary

    Module 9: Get Started with Text Analysis in Azure


    Explore Azure Language's text analysis features, which include sentiment analysis, key phrase extraction, named entity recognition, and language detection.

    • Introduction
    • Azure Language
    • Azure Language SDK
    • Azure Language MCP
    • Exercise - Get started with text analysis in Microsoft Foundry
    • Module assessment
    • Summary

    Module 10: Get Started with Speech in Azure


    Learn how to recognize and synthesize speech using Azure Speech in Foundry Tools.

    • Introduction
    • Speech recognition
    • Speech synthesis
    • Creating a speech-capable agent
    • Exercise - Get started with speech in Microsoft Foundry
    • Module assessment
    • Summary

    Module 11: Get Started with Computer Vision in Azure

    This module introduces computer vision capabilities in Foundry, focusing on how developers can analyze images and generate visual content using multimodal, image‑generation, and video‑generation models.

    • Introduction
    • Multimodal models for image analysis
    • Image generation models
    • Video generation models
    • Exercise - Get started with computer vision in Microsoft Foundry
    • Module assessment
    • Summary

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


    AI gives you the power to unlock insights from your data. Learn how to use Azure Content Understanding in Foundry Tools to extract information from content.

    • Introduction
    • Extract information from documents
    • Extract information from audio and video
    • Exercise - Get started with content understanding in Microsoft Foundry
    • Module assessment
    • Summary

    5 reasons to choose HPE as your training partner

    1. Learn HPE and in-demand IT industry technologies from expert instructors.
    2. Build career-advancing power skills.
    3. Enjoy personalized learning journeys aligned to your company’s needs.
    4. Choose how you learn: in-person, virtually, or online—anytime, anywhere.
    5. Sharpen your skills with access to real environments in virtual labs.

    Explore our simplified purchase options, including HPE Education Services – Learning Credits.

    Recommended for you