AI-900T00 Microsoft Azure AI Fundamentals
1. Fundamental AI Concepts
– 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
2. Fundamentals of Machine Learning
– What is machine learning?
– Types of machine learning
– Regression
– Binary classification
– Multiclass classification
– Clustering
– Deep learning
– Azure Machine Learning
3. Fundamentals of Azure AI Services
– AI services on the Azure platform
– Create Azure AI service resources
– Use Azure AI services
– Understand authentication for Azure AI services
4. Fundamentals of Computer Vision
– Images and image processing
– Machine learning for computer vision
– Azure AI Vision
5. Fundamentals of Facial Recognition
– Understand Face analysis
– Get started with Face analysis on Azure
6. Fundamentals of Optical Character Recognition
– Get started with Azure AI Vision
– Get started with Vision Studio on Azure
7. Fundamentals of Text Analysis with the Language Service
– Understand Text Analytics
– Get started with text analysis
8. Fundamentals of Question Answering with the Language Service
– Understand question answering
– Get started with the Language service and Azure Bot Service
9. Fundamentals of Conversational Language Understanding
– Describe conversational language understanding
– Get started with conversational language understanding in Azure
10. Fundamentals of Azure AI Speech
– Understand speech recognition and synthesis
– Get started with speech on Azure
11. Fundamentals of Azure AI Document Intelligence
– Explore capabilities of document intelligence
– Get started with receipt analysis on Azure
12. Fundamentals of Knowledge Mining and Azure AI Search
– 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
13. Fundamentals of Generative AI
– What is generative AI?
– What are language models?
– Using language models
– What are copilots?
– Microsoft Copilot
– Considerations for Copilot prompts
– Extending and developing copilots
14. Fundamentals of Azure OpenAI Service
– 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
15. Fundamentals of Responsible Generative AI
– Plan a responsible generative AI solution
– Identify potential harms
– Measure potential harms
– Mitigate potential harms
– Operate a responsible generative AI solution
This curriculum covers a wide range of fundamental AI and machine learning concepts along with practical applications using Azure AI services.