What this book covers
Chapter 1, Identify Features of Common AI Workloads, introduces some of the basic concepts of AI in the Azure platform space.
Chapter 2, Identify the Guiding Principles for Responsible AI, explains Microsoft’s principles for responsible AI, such as transparency and inclusiveness.
Chapter 3, Identify Common Machine Learning Techniques, explores machine learning techniques, such as clustering and regression.
Chapter 4, Describe Core Machine Learning Concepts, expands on the concepts of machine learning techniques with explanations of features, labels, training, and validation.
Chapter 5, Describe Azure Machine Learning Capabilities, focuses on the power of automated machine learning (AutoML) as well as the functional resources necessary for enabling machine learning in Azure.
Chapter 6, Identify Common Types of Computer Vision Solutions, introduces the concepts behind computer vision, such as optical character recognition and object detection.
Chapter 7, Identify Azure Tools and Services for Computer Vision Tasks, expands on the basics of computer vision with services such as Azure AI Vision and Azure AI Face.
Chapter 8, Identify Features of Common NLP Workload Scenarios, introduces the core foundational workload uses for natural language processing, such as sentiment analysis, translation, and key phrase extraction.
Chapter 9, Identify Azure Tools and Services for NLP Workloads, provides information about Azure’s natural language processing solutions, such as the Azure AI Translator and Azure AI Language services.
Chapter 10, Identify Features of Generative AI Solutions, explains the broad features and use cases for generative AI models.
Chapter 11, Identify Capabilities of Azure OpenAI Service, highlights the powerful features of Azure OpenAI Service, including text content and image generation.
Chapter 12, Accessing the Online Practice Resources.
