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Introduction to Azure AI Search

Amy Coughlin

In this course, Introduction to Azure AI Search, you’ll learn to implement a basic Azure Cognitive Search solution and understand some of the AI-enabled features you can add to your search solutions. First, you’ll explore the basics of Azure Cognitive Search. Next, you’ll discover some advanced – and exciting – ways to enhance your search solutions and integrate search in your applications. Finally, you’ll learn how to manage and monitor Azure Cognitive Search applications. When you’re finished with this course, you’ll have the skills and knowledge needed to configure, run, and monitor a basic Azure Cognitive Search solution.

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Good to know

Know what's good
, what to watch for
, and possible dealbreakers
Explores the basics of Azure Cognitive Search, which is standard in industry
Teaches advanced ways to enhance search solutions and integrate search in applications
Develops skills to configure, run, and monitor a basic Azure Cognitive Search solution
Taught by Amy Coughlin, who are recognized for their work in Azure AI Search

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Career center

Learners who complete Introduction to Azure AI Search will develop knowledge and skills that may be useful to these careers:
Machine Learning Engineer
A Machine Learning Engineer develops, deploys, and maintains machine learning models. An Introduction to Azure AI Search can be useful for this role because it helps build a foundation in the basics of Azure Cognitive Search, as well as advanced ways to enhance search solutions and integrate search in applications.
Data Scientist
A Data Scientist builds models that predict future trends and patterns. An Introduction to Azure AI Search can be useful for this role because it helps build a foundation in retrieving data from various sources, preparing it for analysis, and building models to make accurate predictions.
Data Analyst
A Data Analyst collects, analyzes, and interprets data to identify trends and patterns. An Introduction to Azure AI Search may be useful for this role because it helps build a foundation in retrieving data from various sources, preparing it for analysis, and identifying trends and patterns.
Database Administrator
A Database Administrator manages and maintains databases. An Introduction to Azure AI Search may be useful for this role because it helps build a foundation in understanding how search can be used to improve the performance and efficiency of a database.
Web Developer
A Web Developer designs and develops websites and web applications. An Introduction to Azure AI Search may be useful for this role because it helps build a foundation in understanding how search can be used to improve the user experience of a website or web application.
Network Administrator
A Network Administrator manages and maintains computer networks. An Introduction to Azure AI Search may be useful for this role because it helps build a foundation in understanding how search can be used to improve the performance and efficiency of a computer network.
Product Manager
A Product Manager oversees the development and launch of new products or features. An Introduction to Azure AI Search may be useful for this role because it helps build a foundation in understanding how search can be used to improve the user experience of a product or feature.
Data Engineer
A Data Engineer designs, builds, and maintains data pipelines. An Introduction to Azure AI Search may be useful for this role because it helps build a foundation in understanding how search can be used to improve the efficiency and effectiveness of a data pipeline.
Security Analyst
A Security Analyst monitors and analyzes security threats and vulnerabilities. An Introduction to Azure AI Search may be useful for this role because it helps build a foundation in understanding how search can be used to improve the security of a computer system or network.
User Experience Designer
A User Experience Designer designs and evaluates user interfaces to ensure that they are easy to use and meet the needs of users. An Introduction to Azure AI Search may be useful for this role because it helps build a foundation in understanding how search can be used to improve the user experience of a product or feature.
Information Architect
An Information Architect designs and organizes information systems to meet the needs of users. An Introduction to Azure AI Search may be useful for this role because it helps build a foundation in understanding how search can be used to improve the organization and accessibility of information.
Project Manager
A Project Manager plans, executes, and closes projects. An Introduction to Azure AI Search may be useful for this role because it helps build a foundation in understanding how to manage and monitor Azure Cognitive Search applications.
System Administrator
A System Administrator manages and maintains computer systems and networks. An Introduction to Azure AI Search may be useful for this role because it helps build a foundation in understanding how search can be used to improve the performance and efficiency of a computer system or network.
Business Analyst
A Business Analyst identifies and analyzes business needs and develops solutions to improve efficiency and productivity. An Introduction to Azure AI Search may be useful for this role because it helps build a foundation in understanding how search can be used to improve the efficiency and productivity of business processes.
Software Engineer
A Software Engineer designs, develops, and tests software applications. An Introduction to Azure AI Search may be useful for this role because it provides an understanding of how to integrate search into software applications.

Reading list

We've selected five books that we think will supplement your learning. Use these to develop background knowledge, enrich your coursework, and gain a deeper understanding of the topics covered in Introduction to Azure AI Search.
Provides a deep dive into the Lucene search engine, which is the underlying technology behind Azure Cognitive Search. It valuable resource for developers who want to understand the inner workings of search engines.
Provides a comprehensive overview of Elasticsearch, which popular open-source search engine. It valuable resource for developers who want to learn about the different features and capabilities of Elasticsearch.
Provides a comprehensive overview of search patterns and best practices. It covers topics such as query parsing, result ranking, and user interaction. It valuable resource for developers who want to design and implement effective search solutions.
Provides a comprehensive overview of natural language processing (NLP) techniques. It covers topics such as text classification, sentiment analysis, and machine translation. It valuable resource for developers who want to add NLP capabilities to their search solutions.
Provides a comprehensive overview of deep learning concepts and algorithms. It covers topics such as convolutional neural networks, recurrent neural networks, and autoencoders. It valuable resource for developers who want to understand the theoretical foundations of AI-powered search features.

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