Microsoft Azure AI Fundamentals AI-900 Exam Guide (Early Access)

Microsoft Azure AI Fundamentals (AI-900) Exam Guide
	Microsoft Azure AI Fundamentals (AI-900) Exam Guide
	Microsoft Azure AI Fundamentals (AI-900) Exam Guide
1 Identify Features of Common AI Workloads
	1 Identify Features of Common AI Workloads
	Identify features of data monitoring and anomaly detection workloads
	Identify computer vision workloads
	Identify natural language processing workloads
	Identify knowledge mining workloads
	Identify document intelligence workloads
	Identify features of generative AI workloads
	Summary
	Review Questions
2 Identify Guiding Principles for Responsible AI
	2 Identify Guiding Principles for Responsible AI
	Understanding ethical principles
	Understand explainable principles
	Summary
	Review Questions
3 Identify Common Machine Learning Techniques
	3 Identify Common Machine Learning Techniques
	Understand machine learning terminology
	Identify regression machine learning scenarios
	Identify classification machine learning scenarios
	Identify clustering machine learning scenarios
	Identify features of deep learning techniques
	Summary
	Review Questions
4 Describe Core Machine Learning Concepts
	4 Describe Core Machine Learning Concepts
	Identify features and labels in a dataset for machine learning
	Describe how training and validation datasets are used in machine learning
	Summary
	Review Questions
5 Describe Azure Machine Learning Capabilities
	5 Describe Azure Machine Learning Capabilities
	What is Azure Machine Learning?
	Describe capabilities of Automated Machine Learning
	Describe data and compute services for data science and machine learning
	Describe model management and deployment capabilities in Azure Machine Learning
	Build a machine learning model in Azure ML
	Summary
	Review Questions
6 Identify Common Types of Computer Vision Solutions
	6 Identify Common Types of Computer Vision Solutions
	Introduction to computer vision solutions
	Identify features of image classification solutions
	Identify features of object detection solutions
	Identify features of optical character recognition solutions
	Identify features of facial detection and facial analysis solutions
	Summary
	Review Questions
7 Identify Azure Tools and Services for Computer Vision Tasks
	7 Identify Azure Tools and Services for Computer Vision Tasks
	Technical requirements
	Describe capabilities of the Azure AI Vision service
	Describe the capabilities of the Azure AI Face detection service
	Describe capabilities of the Azure AI Video Indexer service
	Summary
	Review Questions
8 Identify Features of Common NLP Workload Scenarios
	8 Identify Features of Common NLP Workload Scenarios
	Introduction to Natural Language Processing
	Identify features and uses for key phrase extraction
	Identify features and uses for entity recognition
	Identify features and uses for sentiment analysis
	Identify features and uses for language modeling
	Identify features and uses for speech recognition and synthesis
	Identify features and uses for translation
	Summary
	Review Questions
9 Identify Azure Tools and Services for NLP Workloads
	9 Identify Azure Tools and Services for NLP Workloads
	Technical requirements
	Describe capabilities of the Azure AI Language service
	Describe capabilities of the Azure AI Speech service
	Describe capabilities of the Azure AI Translator service
	Summary
	Review Questions
10 Identify Features of Generative AI Solutions
	10 Identify Features of Generative AI Solutions
	What is Generative AI?
	Identify Features of Generative AI Models
	Identify Common Scenarios for Generative AI
	Identify Responsible AI Considerations for Generative AI
	Summary
	Review Questions
11 Identify capabilities of the Azure OpenAI Service
	11 Identify capabilities of the Azure OpenAI Service
	What is the Azure OpenAI Service?
	Describe natural language generation capabilities of Azure Open AI Service
	Describe code generation capabilities of Azure OpenAI Service
	Describe image generation capabilities of Azure OpenAI service
	Summary
	Review Questions