Chapter 1: Azure Search with AI
Chapter Goals: In this chapter reader will learn about the only AI powered Cloud search offering by Microsoft, Azure Cognitive Search service. Using Cognitive Services with Azure Search with your web apps. Skip hiring search experts who know what an inverted index is. Don't worry about distributed systems expertise to scale your service to handle large amount of data. And forget about setting up, owning and managing the infrastructure. Let Azure Search do it all for you. When and How to use with step by step Demo creating an application.
Chapter Goals: In this Chapter reader will learn the built-in automatic tuning intelligence mechanism in Azure SQL Database. Automatic tuning is a fully managed intelligent performance service that uses built-in intelligence to continuously monitor queries executed on a database, and it automatically improves their performance. Automatic tuning in Azure SQL Database might be one of the most important features that one can enable on Azure SQL Database to optimize the performance of your queries.
Chapter Goals: In this Chapter, readers will explore the Azure Cognitive services, that can be leverage with Azure Integration Platform service, Azure Logic Apps. This gives developer a power to infuse an intelligent workflow in application. Will have a step by step demo to create a workflow with business use-case.
Chapter Goals: In this Chapter, readers will explore the Azure Cognitive services offerings, that can be leverage with Azure Serverless Offerings, Azure Functions. This gives developer a power to extend the scalable Functions with a smart and intelligent functional implementation in application. Will have a step by step demo on how to work with Cognitive extensions.
Chapter Goals: In this Chapter, readers will explore the Azure Cognitive services offerings, that can be leverage with No Code - PowerAutomate. This gives business an easy hand to present with a smart analysis in business workflow. Will have a step by step demo to create a workflow.
Show moreChapter 1: Azure Search with AI
Chapter Goals: In this chapter reader will learn about the only AI powered Cloud search offering by Microsoft, Azure Cognitive Search service. Using Cognitive Services with Azure Search with your web apps. Skip hiring search experts who know what an inverted index is. Don't worry about distributed systems expertise to scale your service to handle large amount of data. And forget about setting up, owning and managing the infrastructure. Let Azure Search do it all for you. When and How to use with step by step Demo creating an application.
Chapter Goals: In this Chapter reader will learn the built-in automatic tuning intelligence mechanism in Azure SQL Database. Automatic tuning is a fully managed intelligent performance service that uses built-in intelligence to continuously monitor queries executed on a database, and it automatically improves their performance. Automatic tuning in Azure SQL Database might be one of the most important features that one can enable on Azure SQL Database to optimize the performance of your queries.
Chapter Goals: In this Chapter, readers will explore the Azure Cognitive services, that can be leverage with Azure Integration Platform service, Azure Logic Apps. This gives developer a power to infuse an intelligent workflow in application. Will have a step by step demo to create a workflow with business use-case.
Chapter Goals: In this Chapter, readers will explore the Azure Cognitive services offerings, that can be leverage with Azure Serverless Offerings, Azure Functions. This gives developer a power to extend the scalable Functions with a smart and intelligent functional implementation in application. Will have a step by step demo on how to work with Cognitive extensions.
Chapter Goals: In this Chapter, readers will explore the Azure Cognitive services offerings, that can be leverage with No Code - PowerAutomate. This gives business an easy hand to present with a smart analysis in business workflow. Will have a step by step demo to create a workflow.
Show moreChapter 1: Working with Azure Cognitive Search.- Chapter 2: AI and Backend Service Offerings.- Chapter 3: AI Services with Azure iPaaS.- Chapter 4: AI Services with Server-less Offerings.- Chapter 5: AI with Low Code.
Kasam Shaikh, Cloud advocate, is a seasoned professional having 13 years of demonstrated industry experience working as Cloud Architect with one of the leading IT companies in Mumbai, INDIA. He is recognized as MVP by an online Tech community, also a Global AzureAI Speaker, and author of two best-selling books on Microsoft Azure and AI. He is the founder of Azure INDIA (az-INDIA) community, DearAzure, which is an online community for learning AzureAI. He owns a YouTube channel and shares his experience over his website www.kasamshaikh.com
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