Duration : 1 Day
6675 participants
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AI-3022: Implement knowledge mining (AI Skills) with Azure AI Search Certification
Through AI-3022, Vinsys delivers data empowerment tools based on Knowledge Mining with Azure AI Search. Participants learn data extraction methods from structured and unstructured information using Azure AI Search during the 1-day program. Develop skilled expertise for intelligent search solution
AI-3022: Implement knowledge mining
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Course Overview
The AI-3022: Implement Knowledge Mining with Azure AI Search course from Vinsys delivers a detailed approach to implementing Azure AI Search for extracting valuable insights from structured and unstructured data collections. The course demonstrates how to build search solutions that help organizations efficiently process large data volumes for analysis purposes.
You will learn to create specialized data skills, as well as advanced understanding methods and creative data application techniques. Participants will discover methods to generate knowledge stores that allow them to perform independent data analysis and subsequent processing steps.
Advanced search methods based on document ranking, semantic ranking, and vector search techniques enable optimised result outputs while supporting multi-language operations. Azure Data Factory assists learners in incorporating external data sources, thus enabling them to explore search capabilities that go beyond Azure systems. The hands-on training at Vinsys allows participants to develop practical search solutions through real-world scenario work that helps professionals create effective search systems for different business settings.
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Course Objectives
By the end of the course, participants will be able to:
- Create productive Azure AI Search solutions that extract valuable information from both structured and unstructured data sources.
- Develop unique skills inside Azure AI Search to enhance their data and create new valuable insights.
- Implement semantic ranking and vector search features will enhance search accuracy in the system.
- Integrate Azure Data Factory to integrate external data sources, which improves search functionality.
- Maintain search solution maintenance through optimization of performance and cost-efficiency, and reliability standards.
- Analyse search results through knowledge stores for independent analysis and downstream processing.
- Enhance indexing alongside search components to increase data retrieval speed and application performance.
- Evaluate scenarios and hands-on exercises should be used to evaluate the effectiveness of search solutions.
- Optimize the search solution architecture to handle complex business requirements and manage large datasets.
- Apply best practices to handle search components, data filtering mechanisms and sorting features and enrichment processes.
Audience
Ideal participants include:
- AI Engineers: Looking to integrate advanced search capabilities into AI-driven applications.
- Developers: Seeking to build powerful search and data analytics solutions using Azure technologies.
- Solution Architects: Aiming to design and implement search solutions within enterprise environments.
- Data Analysts: Interested in extracting insights from structured and unstructured data sources.
- IT Professionals: Aspiring to enhance data search and analysis within organizational applications.
- Business Analysts: Wanting to leverage search solutions to improve data-driven decision-making.
Eligibility Criteria
- Candidates should possess a basic understanding of Azure services and cloud infrastructure.
- Proficiency in C# or Python is required to build and implement effective search solutions using Azure AI Search.
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 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
- 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
- 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
- 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
Online Training
- Access courses anytime, anywhere through an internet connection.
- Learn at your own speed with recorded sessions and e-learning resources.
- Includes videos, quizzes, and assessments to enhance engagement.
- Receive guidance through live chat, forums, and virtual Q&A sessions.
Corporate Training
- Incorporate practical examples and case studies relevant to the business.
- Corporate trainers with extensive industry experience and knowledge.
- Track employee progress and assess performance improvement.
- Enhance employee skills through group learning and collaboration.
FAQ’s
Why should I choose Vinsys for the AI-3022: Implement Knowledge Mining with Azure AI Search course?
Vinsys offers expert-led training with practical insights, hands-on exercises, and a robust learning environment to ensure you gain real-world skills in implementing Azure AI Search solutions.
Will this course help me build custom search solutions for specific business needs?
Yes, the course covers how to create tailored search solutions using custom skills and advanced indexing techniques to meet unique business requirements.
How does this course enhance my problem-solving abilities?
This course strengthens your analytical thinking and problem-solving skills in real-world scenarios by teaching you how to extract insights from complex data sets and implement intelligent search solutions.
Can this course help me implement AI search solutions in my organization?
Absolutely! The course equips you with the knowledge and tools needed to create and maintain effective search solutions tailored to your business needs.
Does the course cover integrating external data sources with Azure AI Search?
Yes, you will learn how to use Azure Data Factory to integrate external data into your search solutions.
Will I learn how to maintain search solutions post-implementation?
The course covers best practices for maintaining performance, cost-efficiency, and reliability of search solutions.
Does this course offer practical insights into using semantic and vector search?
Yes, you will explore advanced search methods, including semantic ranking and vector search, to enhance data retrieval.
Can I apply what I learn immediately to real-world projects?
Yes, the course is designed to provide practical skills that can be directly applied to data search and analytics projects.
Are there opportunities to interact with the instructor or peers?
Yes, you can engage with instructors and fellow learners through live sessions, forums, and collaborative exercises.
How can this course help my organization improve data management?
Implementing Azure AI Search solutions can enhance data accessibility, streamline search processes, and support data-driven decision-making within your organization.
Why Vinsys
Seasoned Instructors
Official Vendor Partnerships
Authorized Courseware
3,000+ Courses & 2,000+ Modules
In Synch with Tech-advancements
Customizable Blended Learning Options
Reviews
The AI-3022 program from Vinsys completely transformed my understanding. Through practical workshops and real-life examples, I obtained practical knowledge about Azure AI Search. Thanks to my learning at Vinsys, I am able to deploy robust search solutions at my workplace, which greatly improves our data analytics operations.
Mitesh ChhabariaProject Manager
I strongly advise anyone who wants to study Azure AI Search to take this course. The Vinsys expert trainers simplified difficult ideas during the course, while the advanced semantic and vector search modules expanded my capabilities.
Shagun BansalIT Head
The programme had an organized structure and outstanding support provided by Vinsys. I enjoyed the hands-on activities most because they allowed me to immediately practice my newly learned concepts. The training program has given me the self-assurance to deploy search solutions within actual project environments.
Kousic ReddySenior Project Manager
The Vinsys AI-3022 training program delivered exceptional results to our data engineering. After completing the program, our staff acquired expertise in handling and analyzing data effectively using Azure AI Search. Vinsys created customized corporate training that enabled our search solutions to achieve exceptional improvements. This system provides outstanding value to organizations that want to boost their data-based decision-making processes.
Akshay PhatakTeam Lead
Search