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Implement knowledge mining with Azure AI Search (AI-3022)

The Implement Knowledge Mining with Azure AI Search (AI-3022) course equips participants with the skills to design and implement powerful knowledge mining solutions. Learn how to utilize Azure AI Search to extract meaningful insights from unstructured data and build intelligent applications.

course: Implement knowledge mining with Azure AI Search (AI-3022)

Duration: 1 day

Format: Virtual or Classroom

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Overview

This one-day course provides a comprehensive understanding of Azure AI Search and its applications in knowledge mining. Participants will learn how to integrate cognitive skills, manage data ingestion pipelines, and design efficient search solutions. The course focuses on extracting insights from unstructured data and building intelligent search experiences, tailored for business applications. By the end, learners will be equipped to deploy Azure AI Search effectively for real-world scenarios, enhancing data discovery and decision-making processes.

This course includes
  • intructor-icon Instructor-led training
  • intructor-icon Personal Learning Path
  • intructor-icon Email, chat and phone support

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Who is this course for?

Who is the Implement knowledge mining with Azure AI Search (AI-3022) course for?

The Implement Knowledge Mining with Azure AI Search (AI-3022) course is designed for data analysts, AI developers, and IT professionals who want to enhance their skills in building intelligent search and data discovery solutions. It is ideal for those working with unstructured data who seek to leverage Azure AI Search to extract meaningful insights and create business-driven applications. This course is also suitable for professionals aiming to optimize decision-making processes through advanced AI-powered knowledge mining techniques.

Curriculum

What you will learn during our Implement knowledge mining with Azure AI Search (AI-3022) course.

  • Unlock the hidden insights in your data with Azure AI Search.
  • Manage capacity
  • Understand search components
  • Understand the indexing process
  • Search an index
  • Apply filtering and sorting
  • Enhance the index
  • Exercise Create a search solution
  • Use the power of artificial intelligence to enrich your data and find new insights with custom skills in Azure AI Search.
  • Define the custom skill schema
  • Add a custom skill
  • Custom text classification skill
  • Machine learning custom skill
  • Exercise Create a Custom Skill for Azure AI Search
  • Persist the output from an Azure AI Search enrichment pipeline for independent analysis or downstream processing.
  • Define projections
  • Define a knowledge store
  • Exercise Create a knowledge store
  • Use more advanced features of Azure AI Search to improve your existing search solutions. Learn how to change the ranking on documents, boost terms, and allow searching in multiple languages.
  • Improve the ranking of a document with term boosting
  • Improve the relevance of results by adding scoring profiles
  • Improve an index with analyzers and tokenized terms
  • Enhance an index to include multiple languages
  • Improve search experience by ordering results by distance from a given reference point
  • Exercise: Implement enhancements to search results
  • Use Azure Data Factory to add data that resides inside or outside the Azure platform into your search indexes.
  • Index data from external data sources using Azure Data Factory
  • Index any data using the Azure AI Search push API
  • Exercise: Add to an index using the push API
  • Maintain the performance, cost, and reliability of your Azure AI Search solutions.
  • Manage security of an Azure AI Search solution
  • Optimize performance of an Azure AI Search solution
  • Manage costs of an Azure AI Search solution
  • Improve reliability of an Azure AI Search solution
  • Monitor an Azure AI Search solution
  • Debug search issues using the Azure portal
  • Exercise Debug search issues
  • Learn how to perform L2 ranking with semantic ranker in Azure AI Search.
  • What is semantic ranking?
  • Set up semantic ranking
  • Exercise Use semantic ranking on an index
  • Learn how to perform vector search and retrieval in Azure AI Search.
  • What is vector search?
  • Prepare your search
  • Understand embedding
  • Exercise Use the REST API to run vector search queries

Preparation

How to best be prepared for our Implement knowledge mining with Azure AI Search (AI-3022) course.

  • Orange-check Basic understanding of Azure cognitive services and AI concepts.
  • Orange-check Familiarity with data ingestion pipelines and unstructured data management.
  • Orange-check Experience working with Azure tools and services is recommended but not mandatory.
  • Orange-check Knowledge of data discovery and business intelligence principles is an advantage.

Meet our instructors

Meet some of the Readynez Instructors you can meet on your course. They are experts, passionate about what they do, and dedicated to give back to their industry, their field, and those who want to learn, explore, and advance in their careers.

Michel Aguilera

Michel excels with a vast expertise in the fields of consulting, training and project management.

Michel excels with a vast expertise in the fields of consulting, training and project management. During his 20 year IT career he has acquired a wide range of skills, both technical and management wise.  He is a keen lover of challenges and keeps up to date with market expectations. Having a multi-cultural approach, he can even train in 5 different languages ​​with ease.

In addition to this, he is very experienced as a hands-on consultant and has worked with various integrations and migrations including Windows migrations, Datacenter consolidations, multiple solution integrations, ITSM implementations. He is also an expert on Cloud environments and in virtualization techniques as well (Operating systems and applications).

 

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Julian Sharp

Julian is an official Microsoft Business Application MVP and one of the most widely recognized experts on Dynamics 365.

Julian has been with Readynez almost since the start 15 years ago.

He has been an MCT since 2007 and he is a subject matter expert in all aspects of Dynamics 365 Customer Engagement through advice, optimization and training.

Julian has worked with Dynamics since first release and has over the past years used Azure to enhance solutions for users.

He is an official Microsoft Business Application MVP and is one of the most widely recognized experts for Power Platform and Dynamics 365 within the Microsoft Community.

He works as a Consultant on large international projects and and has extensive hands-on experience as well as numerous certifications.

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FAQ

FAQs for the Implement knowledge mining with Azure AI Search (AI-3022) course.

This course is designed to teach professionals how to use Azure AI Search to extract insights from unstructured data, enabling knowledge mining and building intelligent applications for data discovery and business decision-making.

Familiarize yourself with Azure fundamentals, including cognitive services and data processing concepts. Basic knowledge of data management and AI capabilities in Azure will help you make the most of the course.

Participants should have a basic understanding of Azure cognitive services, data ingestion pipelines, and fundamental AI concepts. Familiarity with Azure AI tools is an advantage.

The course is priced at €705, offering a full day of interactive learning and practical insights into Azure AI Search.

Topics include designing knowledge mining solutions, integrating cognitive skills, managing data ingestion pipelines, and implementing intelligent search applications using Azure AI Search.

Yes, this course enhances your skills in AI-powered data discovery, making you valuable in roles involving data analysis, AI applications, and intelligent solution design.

While the course does not offer certification, it provides hands-on knowledge essential for implementing Azure AI Search solutions effectively.

Yes, this course is available online, allowing you to participate remotely with live instruction and practical exercises.

The course is moderately challenging, focusing on hands-on exercises and real-world applications of Azure AI Search, making it accessible for professionals with basic Azure knowledge.

While the course itself does not directly impact salaries, it equips you with in-demand skills for AI and data-focused roles, often associated with salaries between €60,000 and €100,000 annually, depending on experience and location.

Reviews

Feedback from our delegates.

Johan Andersson

Johan Andersson

Easy to attend over Teams and an excellent instructor gave me great value for the time I invested.

Stephen Ridgway

Readynez is the best training provider I've used for many years. Their customer service is first class, prices are very competitive and instruction excellent.

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