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Build a Knowledge Mining Solution with Microsoft Azure

Jurgen Kevelaers

The Microsoft cloud includes a collection of services that help you create advanced AI solutions. This course will teach you how to build a knowledge mining solution with Azure Cognitive Search.

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The Microsoft cloud includes a collection of services that help you create advanced AI solutions. This course will teach you how to build a knowledge mining solution with Azure Cognitive Search.

The Designing and Implementing a Microsoft Azure AI Solution exam is for candidates that aspire to become specialists in managing AI solutions on Azure. In this course, Build a Knowledge Mining Solution with Microsoft Azure, you’ll learn to work with the Cognitive Search service. First, you’ll explore data sources and indexes. Next, you’ll discover how to implement a custom skill. Finally, you’ll learn how to create a knowledge store. When you’re finished with this course, you’ll have the skills and knowledge of Cognitive Search needed to implement an intelligent search solution in Azure.

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What's inside

Syllabus

Implementing a Cognitive Search Solution

Good to know

Know what's good
, what to watch for
, and possible dealbreakers
Teaches learners about data sources, indexes, custom skills, and knowledge stores, which are concepts essential to building knowledge mining solutions in the Microsoft cloud
Helps prepare learners for the Designing and Implementing a Microsoft Azure AI Solution exam, which can lead to advanced career opportunities and recognition
Provides hands-on labs and interactive materials, allowing learners to apply the concepts and skills learned throughout the course
Taught by Jurgen Kevelaers, who has extensive experience in the field of AI and data mining

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Activities

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Career center

Learners who complete Build a Knowledge Mining Solution with Microsoft Azure will develop knowledge and skills that may be useful to these careers:
Data Engineer
Data Engineers are responsible for designing and implementing data pipelines for organizations. It's a great field for those who are passionate about data and have an interest in solving business problems using data. This course can help equip you with the necessary knowledge in working with Microsoft Azure's Cognitive Search service for data indexing and knowledge mining.
Data Architect
A Data Architect plays a key role in designing, building, and maintaining an organization's data infrastructure, from data pipelines to storage. With the right foundational skills, a Data Architect can easily progress to more senior roles in data management. For those aspiring to be a Data Architect and to get a headstart in data management, this course can help build a foundation in using Microsoft Azure for cloud-based data storage, retrieval, and indexing.
Machine Learning Engineer
Machine Learning Engineers are the ones responsible for turning machine learning models into real-world applications. If you are passionate about machine learning and want to implement solutions using real-world data, this course may be useful as it can help you build practical skills in using Microsoft Azure's Cognitive Search service for knowledge mining.
Software Engineer
Software Engineers, in particular those in data-related fields, can benefit from this course. This course can provide foundational knowledge in working with Microsoft Azure Cognitive Search, a service used for building intelligent search solutions. While this course may not directly prepare one for a Software Engineering role, it can be a useful addition to one's skillset, especially for those who work on data-related software.
Data Analyst
This course can be useful for Data Analysts who want to gain experience using cloud-based data services. The course covers topics such as data sources and indexes, custom skills, and knowledge stores, all of which are relevant to the tasks of a Data Analyst.
Cloud Engineer
For those looking to gain experience in Microsoft Azure's Cognitive Search service, this course may be useful. Cloud Engineers can learn more about implementing a Cognitive Search solution, including working with data sources and indexes, creating custom skills, and building knowledge stores.
Risk Manager
This course may be useful for Risk Managers who want to gain experience with cloud-based data services. The course covers topics such as implementing a Cognitive Search solution, which can be relevant to the tasks of a Risk Manager.
Technical Writer
For Technical Writers interested in writing documentation related to cloud-based data services, this course may be useful. The course covers topics such as implementing a Cognitive Search solution, which can be relevant to the tasks of a Technical Writer.
Project Manager
This course may be helpful for Project Managers who want to gain experience with cloud-based data services. The course covers topics such as implementing a Cognitive Search solution, which can be useful for Project Managers who need to manage and organize data.
Information Architect
This course may be useful for Information Architects who want to gain experience with Microsoft Azure's Cognitive Search service. The course covers topics such as implementing a Cognitive Search solution, which can be relevant to the tasks of an Information Architect.
Data Scientist
For Data Scientists, this course may be useful as it can provide foundational knowledge in knowledge mining, a process of extracting insights from data. The course covers topics such as creating a knowledge store and implementing a custom skill, which can be relevant to the tasks of a Data Scientist.
Operations Research Analyst
This course may be helpful for Operations Research Analysts who want to gain experience with cloud-based data services. The course covers topics such as data sources and indexes, which can be useful for Operations Research Analysts who need to manage and organize data.
Database Administrator
This course may be helpful for Database Administrators who want to gain experience using cloud-based data services such as Microsoft Azure's Cognitive Search. The course covers topics such as data sources and indexes, which can be useful for Database Administrators who need to manage and organize data.
Product Manager
This course may be helpful for Product Managers who want to gain experience with cloud-based data services. The course covers topics such as creating a knowledge store, which can be useful for Product Managers who need to organize and analyze data.
Business Intelligence Analyst
This course may be useful for Business Intelligence Analysts who want to gain experience with Microsoft Azure's Cognitive Search service. The course covers topics such as creating a knowledge store, which can be useful for Business Intelligence Analysts who need to organize and analyze data.

Reading list

We've selected seven 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 Build a Knowledge Mining Solution with Microsoft Azure.
Provides comprehensive coverage of Python libraries and techniques for data mining and analysis.
Provides a concise and readable introduction to machine learning concepts essential for Cognitive Search.
Elasticsearch is another search platform that can be compared to Cognitive Search. can provide insight into search platform selection.

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