Chapter 1: Describe Artificial Intelligence workloads and considerations-Identify features of common AI workloads-Identify features of content moderation and personalization workloads
Chapter 3: Describe Artificial Intelligence workloads and considerations-Identify features of common AI workloads-Identify natural language processing workloads
Chapter 5: Describe Artificial Intelligence workloads and considerations-Identify features of common AI workloads-Identify document intelligence workloads
Chapter 6: Describe Artificial Intelligence workloads and considerations-Identify features of common AI workloads-Identify features of generative AI workloads
Chapter 7: Describe Artificial Intelligence workloads and considerations-Identify guiding principles for responsible AI-Describe considerations for fairness in an AI solution
Chapter 8: Describe Artificial Intelligence workloads and considerations-Identify guiding principles for responsible AI-Describe considerations for reliability and safety in an AI solution
Chapter 9: Describe Artificial Intelligence workloads and considerations-Identify guiding principles for responsible AI-Describe considerations for privacy and security in an AI solution
Chapter 10: Describe Artificial Intelligence workloads and considerations-Identify guiding principles for responsible AI-Describe considerations for inclusiveness in an AI solution
Chapter 11: Describe Artificial Intelligence workloads and considerations-Identify guiding principles for responsible AI-Describe considerations for transparency in an AI solution
Chapter 12: Describe Artificial Intelligence workloads and considerations-Identify guiding principles for responsible AI-Describe considerations for accountability in an AI solution
Chapter 13: Describe fundamental principles of machine learning on Azure-Identify common machine learning techniques-Identify regression machine learning scenarios
Chapter 14: Describe fundamental principles of machine learning on Azure-Identify common machine learning techniques-Identify classification machine learning scenarios
Chapter 15: Describe fundamental principles of machine learning on Azure-Identify common machine learning techniques-Identify clustering machine learning scenarios
Chapter 16: Describe fundamental principles of machine learning on Azure-Identify common machine learning techniques-Identify features of deep learning techniques
Chapter 17: Describe fundamental principles of machine learning on Azure-Describe core machine learning concepts-Identify features and labels in a dataset for machine learning
Chapter 18: Describe fundamental principles of machine learning on Azure-Describe core machine learning concepts-Describe how training and validation datasets are used in machine learning
Chapter 19: Describe fundamental principles of machine learning on Azure-Describe Azure Machine Learning capabilities-Describe capabilities of automated machine learning
Chapter 20: Describe fundamental principles of machine learning on Azure-Describe Azure Machine Learning capabilities-Describe data and compute services for data science and machine learning
Chapter 21: Describe fundamental principles of machine learning on Azure-Describe Azure Machine Learning capabilities-Describe model management and deployment capabilities in Azure Machine Learning
Chapter 22: Describe features of computer vision workloads on Azure-Identify common types of computer vision solution-Identify features of image classification solutions
Chapter 23: Describe features of computer vision workloads on Azure-Identify common types of computer vision solution-Identify features of object detection solutions
Chapter 24: Describe features of computer vision workloads on Azure-Identify common types of computer vision solution-Identify features of optical character recognition solutions
Chapter 25: Describe features of computer vision workloads on Azure-Identify common types of computer vision solution-Identify features of facial detection and facial analysis solutions
Chapter 26: Describe features of computer vision workloads on Azure-Identify Azure tools and services for computer vision tasks-Describe capabilities of the Azure AI Vision service
Chapter 27: Describe features of computer vision workloads on Azure-Identify Azure tools and services for computer vision tasks-Describe capabilities of the Azure AI Face detection service
Chapter 28: Describe features of Natural Language Processing (NLP) workloads on Azure-Identify features of common NLP Workload Scenarios-Identify features and uses for key phrase extraction
Chapter 29: Describe features of Natural Language Processing (NLP) workloads on Azure-Identify features of common NLP Workload Scenarios-Identify features and uses for entity recognition
Chapter 30: Describe features of Natural Language Processing (NLP) workloads on Azure-Identify features of common NLP Workload Scenarios-Identify features and uses for sentiment analysis
Chapter 31: Describe features of Natural Language Processing (NLP) workloads on Azure-Identify features of common NLP Workload Scenarios-Identify features and uses for language modeling
Chapter 32: Describe features of Natural Language Processing (NLP) workloads on Azure-Identify features of common NLP Workload Scenarios-Identify features and uses for speech recognition and synthesis
Chapter 33: Describe features of Natural Language Processing (NLP) workloads on Azure-Identify features of common NLP Workload Scenarios-Identify features and uses for translation
Chapter 34: Describe features of Natural Language Processing (NLP) workloads on Azure-Identify Azure tools and services for NLP workloads-Describe capabilities of the Azure AI Language service
Chapter 35: Describe features of Natural Language Processing (NLP) workloads on Azure-Identify Azure tools and services for NLP workloads-Describe capabilities of the Azure AI Speech service
Chapter 36: Describe features of generative AI workloads on Azure-Identify features of generative AI solutions-Identify features of generative AI models
Chapter 37: Describe features of generative AI workloads on Azure-Identify features of generative AI solutions-Identify common scenarios for generative AI
Chapter 38: Describe features of generative AI workloads on Azure-Identify features of generative AI solutions-Identify responsible AI considerations for generative AI
Chapter 39: Describe features of generative AI workloads on Azure-Identify capabilities of Azure OpenAI Service-Describe natural language generation capabilities of Azure OpenAI Service
Chapter 40: Describe features of generative AI workloads on Azure-Identify capabilities of Azure OpenAI Service-Describe code generation capabilities of Azure OpenAI Service
Chapter 41: Describe features of generative AI workloads on Azure-Identify capabilities of Azure OpenAI Service-Describe image generation capabilities of Azure OpenAI Service
