Describe Artificial Intelligence workloads and considerations (20-25%)
Identify features of common AI workloads
• identify features of anomaly detection workloads
• identify computer vision workloads
• identify natural language processing workloads
• identify knowledge mining workloads
Identify guiding principles for responsible AI
• describe considerations for fairness in an AI solution
• describe considerations for reliability and safety in an AI solution
• describe considerations for privacy and security in an AI solution
• describe considerations for inclusiveness in an AI solution describe considerations for transparency in an AI solution
• describe considerations for accountability in an AI solution
Describe fundamental principles of machine learning on Azure (25-30%)
Identify common machine learning types
• identify regression machine learning scenarios
• identify classification machine learning scenarios
• identify clustering machine learning scenarios
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
Describe capabilities of visual tools in Azure Machine Learning Studio
• automated machine learning
• Azure Machine Learning designer
Describe features of computer vision workloads on Azure (15-20%)
Identify common types of computer vision solution
• identify features of image classification solutions
• identify features of object detection solutions
• identify features of optical character recognition solutions
• identify features of facial detection, facial recognition, and facial analysis solutions
Identify Azure tools and services for computer vision tasks
• identify capabilities of the Computer Vision service
• identify capabilities of the Custom Vision service
• identify capabilities of the Face service
• identify capabilities of the Form Recognizer service
Describe features of Natural Language Processing (NLP) workloads on Azure (25-30%)
Identify features of common NLP Workload Scenarios
• 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
Identify Azure tools and services for NLP workloads
• identify capabilities of the Language service
• identify capabilities of the Speech service
• identify capabilities of the Translator service
Identify considerations for conversational AI solutions on Azure
• identify features and uses for bots
• identify capabilities of the Azure Bot service