AI-901

AI-901 - Introduction to AI in Azure

Course Duration: 7 Hours

Delivery Methods: Classroom Training - Instructor Led or Online


COURSE OVERVIEW

This course covers the core principles of artificial intelligence and explores the specific Microsoft Azure services used to build AI-driven solutions. By blending conceptual knowledge with practical technical skills, it establishes the essential foundation required for a successful career in AI implementation on the Azure platform.


WHO SHOULD ATTEND?

This course is designed for entry-level technology professionals looking to build a career in AI solution development. While not mandatory, a foundational understanding of Python syntax and basic programming logic is highly beneficial. We also recommend that learners are familiar with core cloud concepts, specifically cloud storage, compute resources, and standard identity and access management (IAM).


COURSE OBJECTIVES

  • Experience using computers and the internet
  • Interest in AI workloads and applications
  • A basic understanding of math (interpreting charts, simple probability)
  • Familiarity with fundamental programming concepts (helpful but not required).

Course Outline

1 - Introduction to AI concepts
  • Generative AI and agents
  • Text and natural language
  • Speech
  • Computer vision
  • Information extraction
  • Responsible AI
  • Module assessment
2 - Introduction to generative AI and agents
  • Large language models (LLMs)
  • Prompts
  • AI agents
  • Module assessment
3 - Introduction to natural language processing concepts
  • Tokenization
  • Statistical text analysis.
  • Semantic language models
  • Module assessment
4 - Introduction to AI speech concepts
  • Speech-enabled solutions
  • Speech recognition
  • Speech synthesis
  • Module assessment
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 assessment
6 - Introduction to AI-powered information extraction concepts
  • Overview of information extraction
  • Optical character recognition (OCR)
  • Field extraction and mapping
  • Module assessment
7 - Get started with AI in Azure
  • Understand Azure
  • Developing AI apps on Azure
  • Microsoft Foundry for AI
  • Using Microsoft Foundry endpoints
8 - Get started with generative AI and agents in Azure
  • Generative AI models
  • Using a generative AI model
  • Creating an agent
9 - Get started with text analysis in Azure
  • Azure Language
  • Azure Language SDK
  • Azure Language MCP
  • Module assessment
10 - Get started with speech in Azure
  • Speech recognition
  • Speech synthesis
  • Creating a speech-capable agent
  • Module assessment
11 - Get started with computer vision in Azure
  • Multimodal models for image analysis
  • Image generation models
  • Video generation models
  • Module assessment
12 - Get started with AI-powered information extraction in Azure
  • Extract information from documents
  • Extract information from audio and video
  • Module assessment
Dates & Times
1 June 10 09:00 - 16:30 (Online)

* Actual dates may vary.