Description
Book SynopsisIntermediate-Advanced user level
Table of ContentsChapter 1: The Power of Cognitive Services Chapter Goal: This first chapter sets up the values, reasons, and impacts you can achieve through Microsoft Azure Cognitive Services. It provides an overview of the features and capabilities. The chapter also introduces you to our case study and structures that we’ll use throughout the rest of the book.
No of pages: 14
Sub - Topics
1. Overview of Azure Cognitive Services
2. Understanding the Use Cases
3. Exploring the Cognitive Services APIs: Vision, Speech, Language, Search, and Decision
4. Overview of Machine Leaning
5. The COVID-19 SmartApp Scenario
Chapter 2: The Azure Portal for Cognitive Services Chapter Goal: The aim of this chapter to get started with Microsoft Cognitive services by exploring the Azure Portal. This chapter will explore the Cognitive Azure Portal and some of the common features. Finally, the chapter will take you inside the Azure Marketplace for Bot Service, Cognitive Services, and Machine Learning.
No of pages: 18
Sub - Topics
1. Getting started with Azure Portal and Microsoft Cognitive Services
2. Azure Marketplace – an overview of AI + Machine Learning
3. Getting started with Azure Bot Service
4. Understanding software development kits (SDKs) – to get started with a favorite programing language [Ref. https://docs.microsoft.com/en-us/azure/cognitive-services/]
5. Setting up your Visual Studio template
Chapter 3: Vision – Identify and Analyze Images and Videos Chapter Goal: This chapter will provide insight on Computer Vision with a full of hands-on example, where we build an application to analyze an Image. There are two features currently in preview that this chapter will also cover: Form Recognizer and Ink Recognizer.
No of pages: 24
Sub - Topics
1. Understanding the Vision API with Computer Vision
2. Analyzing images
3. Identifying a face
4. Understanding the working behavior of vision APIs for Video Analysis
5. Recognizing forms, tables, and ink
6. Summary of the Vision API
Chapter 4: Language – Gain an Understanding of Unstructured Text and Models Chapter Goal: This chapter will provide insight on NLP (Natural language processing) by evaluating user sentiments. The chapter will also touch preview features – including Immersive Reader.
No of pages: 20
Sub - Topics
1. Creating and understanding language models
2. Training language models
3. Translating text to create your own translator application
4. Using QnA Maker to host conversational discussions about your data
5. Using Immersive Reader to understand text via audio and visual cues
6. Summary of the Language API
Chapter 5: Speech – Talk to Your Application Chapter Goal: This chapter will provide insight on speech services by evaluating translating text to speech and vice versa. Enabling a speaker and translating into multiple languages. The chapter will also touch a preview feature – Speaker Recognition. The Bing speech feature will not be covered as it is retiring soon.
No of pages: 18
Sub - Topics
1. Understanding speech and speech services
2. Converting speech into text and vice versa
3. Translating speech real-time into your application
4. Identifying the speaker from speech using Speaker Recognition
5. Customizing speech
6. Summary of the Speech API
Chapter 6: Decision – Make Smarter Decisions In Your Applications
Chapter Goal: This chapter will provide insight on decision services by adding content a moderation facility in the application. The chapter will also touch on a preview feature – Anomaly Detector.
No of pages: 17
Sub - Topics
1. Understanding the decision service and decision APIs
2. Creating an auto Content Moderator application
3. Creating personalized experiences with the Personalizer
4. Identifying future problems with the Anomaly Detector
5. Summary of the Decision API
Chapter 7: Search – Add Search Capabilities to Your Application Chapter Goal: This chapter will provide insight on Bing Search APIs by adding various search functionalities to the application.
No of pages: 18
Sub - Topics
1. Understanding search and the Bing Search APIs
2. Creating a smart application by adding Bing Search
3. Suggesting a user with auto suggestions
4. Summary of the Search API
Chapter 8: Deploy and Host Services Using Containers Chapter Goal: This chapter will provide a complete insight on Cognitive Services containers. In this chapter, we will highlight the key feature by creating an application. The application will deploy using Docker.
No of pages: 22
Sub - Topics
1. Getting started with Cognitive Services containers
2. Understanding deployment and how to deploy and run a container on an Azure container instance
3. Understand Docker compose and use it to deploy multiple containers
4. Understanding Azure Kubernetes Service and how to deploy an application to Azure Kubernetes Service
Chapter 9: Azure Bot Service Chapter Goal: This chapter will provide insight on Bot Service by creating the COVID-19 Bot.
No of pages: 24
Sub - Topics
1. Understanding Azure Bot services
2. Create a COVID-19 Bot using Azure Bot Service
3. Using the Azure Bot Builder SDK. Reference: https://docs.microsoft.com/en-us/azure/bot-service/dotnet/bot-builder-dotnet-sdk-quickstart?view=azure-bot-service-4.0
Chapter 10: Azure Machine Learning Chapter Goal: This chapter will lead the reader to fully understand Azure Machine Learning and how to use it. You can train your application to learn without being explicitly programmed. We will include forecasts and predictions. The chapter will cover a preview feature – Azure Machine Learning designer.
No of pages: 22
Sub - Topics
1. Building models with no-code, using the Azure Machine Learning designer
2. Publishing to Jupyter notebooks
3. Building ML models in Python or R
4. The ML Visual Studio Code extension
5. Commanding the ML CLI
6. Summary of ML
