Microsoft Azure AI-900 Official Exam Outline:
- Describe Artificial Intelligence workloads and considerations (15-20%)
Identify features of common AI workloads
Identify guiding principles for responsible AI
- Describe fundamental principles of machine learning on Azure (30- 35%)
Identify common machine learning types
Describe core machine learning concepts
Identify core tasks in creating a machine learning solution
Describe capabilities of no-code machine learning with Azure Machine Learning studio
- Describe features of computer vision workloads on Azure (15-20%)
Identify common types of computer vision solution:
Identify Azure tools and services for computer vision tasks
- Describe features of Natural Language Processing (NLP) workloads on Azure (15-20%)
Identify features of common NLP Workload Scenarios
Identify Azure tools and services for NLP workloads
- Describe features of conversational AI workloads on Azure (15-20%)
Identify common use cases for conversational AI
Identify Azure services for conversational AI
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