AI-900 - Microsoft Azure AI Fundamentals
Course Duration: 7 Hours
Delivery Methods: Classroom Training - Instructor Led or Online
COURSE OVERVIEW
The course introduces fundamentals concepts related to artificial intelligence (AI), and the services in Microsoft Azure that can be used to create AI solutions. The course allows participants to build awareness of common AI workloads and the ability to identify Azure services to support them.
WHO SHOULD ATTEND?
This course is designed for participants that are interested in learning about the types of solution artificial intelligence (AI) makes possible, and the services on Microsoft Azure that you can use to create them. A basic level of familiarity with computer technology and the Internet is assumed. The course includes hands-on activities that involve working with data and running code, so a knowledge of fundamental programming principles will be helpful.
COURSE OBJECTIVES
- Fundamental AI Concepts
- Fundamentals of machine learning
- Fundamentals of Azure AI services
- Fundamentals of Computer Vision
- Fundamentals of Facial Recognition
- Fundamentals of optical character recognition
- Fundamentals of Text Analysis with the Language Service
- Fundamentals of question answering with the Language Service
- Fundamentals of conversational language understanding
- Fundamentals of Azure AI Speech
- Fundamentals of Generative AI
- Fundamentals of Azure OpenAI Service
- Fundamentals of Responsible Generative AI
Course Outline
- Understand machine learning
- Understand computer vision
- Understand natural language processing
- Understand document intelligence and knowledge mining
- Understand generative AI
- Challenges and risks with AI
- Understand Responsible AI
- What is machine learning?
- Types of machine learning
- Regression
- Binary classification
- Multiclass classification
- Clustering
- Deep learning
- Azure Machine Learning
- AI services on the Azure platform
- Create Azure AI service resources
- Use Azure AI services
- Understand authentication for Azure AI services
- Images and image processing
- Machine learning for computer vision
- Azure AI Vision
- Understand Face analysis
- Get started with Face analysis on Azure
- Get started with Azure AI Vision
- Get started with Vision Studio on Azure
- Understand Text Analytics
- Get started with text analysis
- Understand question answering
- Get started with the Language service and Azure Bot Service
- Describe conversational language understanding
- Get started with conversational language understanding in Azure
- Understand speech recognition and synthesis
- Get started with speech on Azure
- Explore capabilities of document intelligence
- Get started with receipt analysis on Azure
- What is Azure AI Search?
- Identify elements of a search solution
- Use a skillset to define an enrichment pipeline
- Understand indexes
- Use an indexer to build an index
- Persist enriched data in a knowledge store
- Create an index in the Azure portal
- Query data in an Azure AI Search index
- What is generative AI?
- What are language models?
- Using language models
- What are copilots?
- Microsoft Copilot
- Considerations for Copilot prompts
- Extending and developing copilots
- What is generative AI
- Describe Azure OpenAI
- How to use Azure OpenAI
- Understand OpenAI's natural language capabilities
- Understand OpenAI code generation capabilities
- Understand OpenAI's image generation capabilities
- Describe Azure OpenAI's access and responsible AI policies
- Plan a responsible generative AI solution
- Identify potential harms
- Measure potential harms
- Mitigate potential harms
- Operate a responsible generative AI solution
| Dates & Times | |
|---|---|
| 1 | February 11 09:00 - 16:30 (Online) |
* Actual dates may vary.