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Microsoft Azure AI Fundamentals
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Lesson 1: Microsoft Azure AI Fundamentals: AI Overview
1.1.1 Fundamental AI Concepts - Introduction
1.1.2 Understand machine learning
1.1.3 Understand computer vision
1.1.4 Understand natural language processing
1.1.5 Understand document intelligence and knowledge mining
1.1.6 Understand generative AI
1.1.7 Challenges and risks with AI
1.1.8 Understand Responsible AI
1.1.9 Summary
1.2.1 Fundamentals of machine learning - Introduction
1.2.2 What is machine learning
1.2.3 Types of machine learning
1.2.4 Regression
1.2.5 Binary classification
1.2.6 Multiclass classification
1.2.7 Clustering
1.2.8 Deep learning
1.2.9 Azure Machine Learning
1.2.10 Summary
1.3.1 Fundamentals of Azure AI services - Introduction
1.3.2 AI services on the Azure platform
1.3.3 Create Azure AI service resources
1.3.4 Use Azure AI services
1.3.5 Understand authentication for Azure AI services
1.3.6 Summary
Lesson 2: Microsoft Azure AI Fundamentals: Computer Vision
2.1.1 Fundamentals of Computer Vision - Introduction
2.1.2 Images and image processing
2.1.3 Machine learning for computer vision
2.1.4 Azure AI Vision
2.1.5 Summary
2.2.1 Fundamentals of Facial Recognition - Introduction
2.2.2 Understand Facial Analysis
2.2.3 Get started with facial analysis on Azure
2.2.4 Summary
2.3.1 Fundamentals of optical character recognition - Introduction
2.3.2 Get started with Azure AI Vision
2.3.3 Get started with Vision Studio on Azure
2.3.4 Summary
Lesson 3: Microsoft Azure AI Fundamentals: Natural Language Processing
3.2.1 Fundamentals of question answering with the Language Service - Introduction
3.2.2 Understand question answering
3.2.3 Get started with custom question answering
3.2.4 Summary
3.3.1 Fundamentals of conversational language understanding - Introduction
3.3.2 Describe conversational language understanding
3.3.3 Get started with conversational language understanding in Azure
3.3.4 Summary
3.4.1 Fundamentals of Azure AI Speech - Introduction
3.4.2 Understand speech recognition and synthesis
3.4.3 Get started with speech on Azure
3.4.4 Use Azure AI Speech
3.4.5 Summary
3.5.1 Describe monitoring tools in Azure - Introduction
3.5.2 Understand translation concepts
3.5.3 Understand translation in Azure
3.5.4 Get started with translation in Azure
3.5.5 Summary
Lesson 4: Microsoft Azure AI Fundamentals: Document Intelligence and Knowledge Mining
4.1.1 Fundamentals of Azure AI Document Intelligence - Introduction
4.1.2 Explore capabilities of document intelligence
4.1.3 Understand Azure AI Document Intelligence capabilities
4.1.4 Summary
4.2.1 Fundamentals of Knowledge Mining and Azure AI Search - Introduction
4.2.2 What is Azure AI Search?
4.2.3 Identify elements of a search solution
4.2.4 Create an index in the Azure portal
4.2.5 Query data in an Azure AI Search index
4.2.6 Summary
Lesson 5: Microsoft Azure AI Fundamentals: Generative AI
5.1.1 Fundamentals of Generative AI - Introduction
5.1.2 What is generative AI?
5.1.3 What are language models?
5.1.4 Using language models
5.1.5 Copilot and AI agents
5.1.6 Understand Microsoft Copilot
5.1.7 Considerations for prompts
5.1.8 Extending and developing copilot-like agents
5.1.9 Summary
5.2.1 Introduction to Azure AI Studio - Introduction
5.2.2 What is Azure AI Studio?
5.2.3 How does Azure AI Studio work
5.2.4 When to use Azure AI Studio
5.2.5 Summary
5.3.1 Responsible generative AI - Introduction
5.3.2 Plan a responsible generative AI solution
5.3.3 Identify potential harms
5.3.4 Measure potential harms
5.3.5 Mitigate potential harms
5.3.6 Operate a responsible generative AI solution
5.3.7 Summary
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Microsoft Azure AI Fundamentals
