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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.
Register for this course and see more details by visiting:
OpenCourser.com/course/trlpfe/introduction
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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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Save Introduction to Azure AI Search to your list so you can find it easily later:
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Activities
Be better prepared
before
your course. Deepen your understanding
during
and
after
it. Supplement your coursework and achieve mastery of the topics covered
in Introduction to Azure AI Search with these
activities:
Walkthrough a Basic Azure Cognitive Search Tutorial
Show steps
Reinforce your understanding of Azure Cognitive Search by following a guided tutorial that takes you through its basics.
Browse courses on
Azure Cognitive Search
Show steps
-
Identify an Azure Cognitive Search tutorial
-
Follow the tutorial step-by-step
-
Implement the concepts in your own environment
Show all one activities
Walkthrough a Basic Azure Cognitive Search Tutorial
Show steps
Reinforce your understanding of Azure Cognitive Search by following a guided tutorial that takes you through its basics.
Browse courses on
Azure Cognitive Search
Show steps
Show steps
Show steps
- Identify an Azure Cognitive Search tutorial
- Follow the tutorial step-by-step
- Implement the concepts in your own environment
Show all one activities
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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.
For more career information including salaries, visit:
OpenCourser.com/course/trlpfe/introduction
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.
Save
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.
Save
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.
For more information about how these books relate to this course, visit:
OpenCourser.com/course/trlpfe/introduction
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Time
255 hours
Level
Intermediate
Via
Pluralsight
Instructor
Amy Coughlin
Language
English
Good to know
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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