Course AI-901T00 Introduction to AI in Azure
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.
After completing this course, students will be able to:
On the course, participants will learn:
- The fundamentals of generative AI, including large language models (LLM), hints, and AI agents
- How to get started with AI tasks and solutions in Microsoft Foundry
- About extracting information using AI from documents, images, and other unstructured data sources
- About common AI tasks, such as generative AI and agents, text and speech analysis, computer vision, and information extraction
Audience Profile
This course is for aspiring technology professionals at the beginning of their career in AI solution development.
Before attending this course, students must have:
- a basic understanding of computing concepts and math
- Some knowledge of Python coding syntax and programming techniques is useful.
- Additionally, knowledge of core cloud concepts, including cloud storage, cloud compute, and cloud-based authentication and authorization is recommended.
1. Introduction to AI concepts
- Introduction to AI
- Generative AI and agents
- Text and natural language
- Speech
- Computer vision
- Information extraction
- Responsible AI
2. Introduction to generative AI and agents
- Large language models (LLMs)
- Prompts
- AI agents
3. Introduction to natural language processing concepts
- Tokenization
- Statistical text analysis.
- Semantic language models
4. Introduction to AI speech concepts
- Speech-enabled solutions
- Speech recognition
- Speech synthesis
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
6. Introduction to AI-powered information extraction concepts
- Overview of information extraction
- Optical character recognition (OCR)
- Field extraction and mapping
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
10. Get started with speech in Azure
- Speech recognition
- Speech synthesis
- Creating a speech-capable agent
11. Get started with computer vision in Azure
- Multimodal models for image analysis
- Image generation models
- Video generation models
12. Get started with AI-powered information extraction in Azure
- Extract information from documents
- Extract information from audio and video
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