Introduction to AI in Azure AI-901

Module 1Introduction to AI concepts

• Generative AI and agents
• Text and natural language
• A willingness to learn through hands - on experience

Module 2

• Speech
• Computer vision
• Information extraction
• Responsible AI
• Module assessment
• Large language models (LLMs)
• Prompts
• AI agents
• Module assessment

Module 3Introduction to natural language processing

• concepts
• Tokenization
• Statistical text analysis.
• Semantic language models
• Module assessment

Module 4Introduction to AI speech concepts

• Speech- enabled solutions
• Speech recognition
• Speech synthesis
• Module assessment

Module 5Introduction 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

Module 6Introduction to AI - powered information extraction

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

Module 7Get started with AI in Azure

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

Module 8Get started with generative AI and agents in Azure

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

Module 9Get started with text analysis in Azure

• Azure Language
• Azure Language SDK
• Azure Language MCP
• Module assessment

Module 10Get started with speech in Azure

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

Module 11Get started with computer vision in Azure

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

Module 12Get started with AI -powered information extraction

• in Azure
• Extract information from documents
• Extract information from audio and video
• Module assessment