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AI-3022: Implement knowledge mining with Azure AI Search Certification

The AI-3022 course helps learners discover data insights through Knowledge Mining with Azure AI Search. Vinsys helps organizations transform their data strategies. Our 1-day AI-3022 course provides participants with the necessary skills to build, enhance, and manage intelligent solutions through

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AI-3022: Implement knowledge mining with Azure AI Search Certification
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  • implement ai skills in azure ai search ai 3022 certification
Over two decades of expertise in technical and business training.
Strong presence in KSA and 15+ countries worldwide.
Advanced digital tools and simulation-based e-learning modules.
Industry-leading instructors with 1,000+ subject matter experts.
OverviewLearning ObjectivesWho Should AttendPrerequisiteOutline

Course Overview

The AI-3022: Implement Knowledge Mining with Azure AI Search training delivers all necessary information to develop and maintain complex search systems. The training demonstrates methods to extract vital information from diverse datasets using Azure AI Search operations. Users learn to create AI abilities while implementing complex search features with Azure AI-Language and Machine Learning models to enhance data quality.
The instructional content delivers complete guidance for creating intelligent search systems throughout their development sequence. At the beginning of the whole process stands the data ingestion phase. Relevance-based search optimization joins sorting options and filtering mechanisms to enhance search capability development in the system. The training program includes instruction on sophisticated semantic ranking methods and vector search techniques.
Through real-world training activities, participants gain practical experience in applying these concepts. Through the learning process, participants build search applications while they develop the ability to maintain reliability, performance, and cost efficiency. The curriculum shows participants how Azure Data Factory enables external data source connexions. The training provides participants with enough knowledge to utilize AI tools effectively to achieve successful knowledge-mining operations. The training gives participants the tools to build scalable, intelligent search solutions. The training program serves anyone who needs to maximize their data control and search optimization capabilities in present-day Azure AI Search applications.

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Course Objectives

By the end of this course, participants will be able to:

  • Build robust search solutions using Azure AI Search.
  • Develop custom AI skills to enhance data enrichment.
  • Implement advanced search features for improved search accuracy.
  • Integrate Azure AI-Language and Machine Learning models with search solutions.
  • Apply filtering, sorting, and boosting techniques to optimize search results.
  • Maintain search solutions for performance, cost-efficiency, and reliability.
  • Utilise semantic ranking to enhance search relevance.
  • Execute vector search and retrieval methods for better data insights.
  • Connect external data sources to Azure AI Search using Azure Data Factory.

Audience

The AI-3022: Implement Knowledge Mining with Azure AI Search course is designed for professionals and learners who want to use Azure AI tools to enhance their search and data analysis capabilities. 
Ideal participants include:

  • AI Engineers
  • Azure Developers
  • Solution Architects
  • Data Scientists
  • Application Developers
  • IT Professionals
  • Business Analysts

Eligibility Criteria

Participants should be familiar with Microsoft Azure and have experience in application development using C# or Python.

Course Outline

Module 1: Create an Azure AI Search Solution

  • Introduction
  • Manage capacity
  • Understand search components
  • Understand the indexing process
  • Search an index
  • Apply filtering and sorting
  • Enhance the index
  • Exercise: Create a search solution
  • Knowledge check
  • Summary

Module 2: Create a Custom Skill for Azure AI Search

  • Introduction
  • 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
  • Knowledge check
  • Summary

Module 3: Create a Knowledge Store with Azure AI Search

  • Introduction
  • Define projections
  • Define a knowledge store
  • Exercise: Create a knowledge store
  • Knowledge check
  • Summary

Module 4: Implement Advanced Search Features in Azure AI Search

  • Introduction
  • Improve the ranking of a document with term boosting
  • Improve the relevance of results by adding scoring profiles
  • Improve an index with analysers 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
  • Knowledge check
  • Summary

Module 5: Search Data Outside the Azure Platform in Azure AI Search

  • Using Azure Data Factory
  • Introduction
  • 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
  • Knowledge check
  • Summary

Module 6: Maintain an Azure AI Search Solution

  • Introduction
  • Manage security of an Azure AI Search solution
  • Optimise 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
  • Knowledge check
  • Summary

Module 7: Perform Search Reranking with Semantic Ranking in Azure AI Search

  • Introduction
  • What is semantic ranking?
  • Set up semantic ranking
  • Exercise: Use semantic ranking on an index
  • Knowledge check
  • Summary

Module 8: Perform Vector Search and Retrieval in Azure AI Search

  • Introduction
  • What is vector search?
  • Prepare your search
  • Understand embedding
  • Exercise: Use the REST API to run vector search queries
  • Knowledge check
  • Summary
     

Choose Your Preferred Mode

trainingoption

Online Training

  • Flexible learning schedule with 24/7 access to course materials
  • Access to recorded sessions for revision and reference.
  • Certification preparation with practice tests 
  • Accessible from anywhere with internet connectivity.
Enroll Now 
trainingoption

Corporate Training

  • Customised training modules aligned with business goals.
  • Group learning to enhance team collaboration and skills.
  • Post-training support and assessment for performance tracking.
  • Focus on specific skills to address organizational challenges.
Enroll Now 

FAQ’s

Why should I choose Vinsys for the AI-3022: Implement Knowledge Mining with Azure AI Search course?

Vinsys offers industry-leading training with expert instructors, hands-on labs, and practical insights, ensuring you gain real-world experience with Azure AI Search.

Does this course provide hands-on practical exercises?

Yes, the course includes practical labs and exercises to help you apply theoretical knowledge to real-world scenarios.

Will I learn the advanced features of Azure AI Search in this course?

Absolutely! The course covers advanced features such as semantic ranking, vector search, and enhancing search relevance.

How does this course help in optimizing data search performance?

You will learn techniques to enhance search indexing, apply sorting and filtering, and maintain performance and reliability.

Will this course teach me about enriching data using AI models?

Yes, you will learn to use Azure AI-Language and Machine Learning models for effective data enrichment.

Does the course cover both structured and unstructured data handling?

Yes, the course focuses on managing and extracting insights from both structured and unstructured data sources.

How does this course contribute to my professional development?

This course enhances your technical expertise and adds value to your professional profile, boosting your career prospects.

What tools and technologies are used during the course?

The course utilizes Microsoft Azure tools, including Azure AI Search, Azure Data Factory, and AI Language models.

Will I learn about integrating search solutions with existing applications?

Yes, the course includes modules on integrating AI-driven search solutions with enterprise applications.

Can this course help me improve search functionality in existing applications?

Yes, you will learn how to integrate advanced search features into existing applications to enhance search accuracy and efficiency.

Why Vinsys

whyVinsys
Seasoned Instructors
Seasoned Instructors
Official Vendor Partnerships
Official Vendor Partnerships
Authorized Courseware
Authorized Courseware
3,000+ Courses & 2,000+ Modules
3,000+ Courses & 2,000+ Modules
In Synch with Tech-advancements
In Synch with Tech-advancements
Customizable Blended Learning Options
Customizable Blended Learning Options

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Reviews

The AI-3022 program proved to be excellent. Participating in practical exercises enabled me to understand Azure AI Search concepts that were initially complex. The instructors delivered practical knowledge together with real-world applications, which provided the most valuable learning experience in the course. My learning experience has developed the required confidence to implement AI-powered search solutions.
Rajesh PrabhuProject Manager
Vinsys’s AI-3022 program taught me exceptionally well. The program's basic structure included interactive live sessions. The training gave me the skills to develop particular search solutions and optimize search performance management systems.
Ashish MudeAI Engineer
Our data team joined the Vinsys AI-3022 program; the results were impressive! The course helped them develop search solution development and maintenance abilities, which helped them with better data management systems. Vinsys greatly supported our organization’s business specifications.
Shailendra SinghAzure Developer
Vinsys’ AI-3022 training helped our organization adopt Azure AI Search without any problems. To improve the precision and efficiency of data search, the IT department used practical training methods under the guidance of experts. The course was very valuable to our organisation, and we got very good operational results due to it.
Abhilash KumarSolution Architect

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