Duration : 1 Day
9583 participants
Looking for Corporate TrainingLearn from industry-certified professionals with real-world expertise in Azure AI Search.
AI-3022: Implement knowledge mining with Azure AI Search Certification
Develop optimal skills for building and optimizing intelligent search solutions by opting for AI-3022: Implement Knowledge Mining with Azure AI Search training by Vinsys Qatar.
The one-day Intermediate-level course enables participants to construct AI-search applications and deploy c
AI-3022: Implement knowledge mining with Azure AI Search Certification
Gain practical experience with interactive labs and real-time exercises for seamless application.
Choose from live virtual or corporate training options for a convenient learning experience.
Cover everything from data ingestion to advanced search ranking in a structured format.
Course Overview
Professionals learn intelligent search solution development from structured and unstructured data sources through the AI-3022: Implement Knowledge Mining with Azure AI Search training program. This training instructs participants on building adaptable search applications with Azure AI Search, which provides advanced cloud-based search services enabled by AI features.
The course informs learners about indexing approaches together with query optimization and ranking algorithm development methods needed for building sophisticated search solutions. It enables users to build custom search capabilities that boost operation efficiency by utilizing Azure AI-Language with machine learning and semantic ranking functionality. Learners grasp vector search techniques, which allow them to build multilingual knowledge stores and enhance full-data search functionality.
Through practical Azure Data Factory exercises, participants learn how to ingest data for search optimization purposes efficiently. The curriculum includes practical lessons that help participants learn to optimize search queries and filters and improve document relevancy during the training sessions. The training system satisfies needs at different AI development levels because it enables professionals to develop efficient search systems with automated data retrieval solutions for improved business decision support.
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Course Objectives
This course is designed to develop hands-on expertise in implementing AI-powered search solutions using Azure AI Search. By the end of the training, participants will be able to:
- Design Azure AI Search to develop intelligent search solutions that extract insights from structured and unstructured data.
- Develop Efficient indexing strategies to boost query performance while improving filtering and sorting capabilities.
- Integrate custom AI skills, machine learning models, and semantic ranking to improve search functionality.
- Construct a knowledge store that will store enriched data outputs for further analysis and processing.
- Implement vector search methods to boost both search accuracy and results relevance.
- Optimize through term boosting and result ranking and multilingual support implementation to improve user engagement.
- Utilise Azure Data Factory for automated data processing to support search indexing operations.
- Evaluate search performance to apply cost-management strategies that ensure both efficiency and scalability.
- Apply security measures to protect search data by following industry best practices.
Audience
This course is ideal for professionals seeking to implement AI-powered search solutions using Azure AI Search. The training is tailored for:
AI Engineers
- Azure Developers
- Solution Architects
- Data Scientists
- Business Intelligence Professionals
- IT Professionals & Consultants
Eligibility Criteria
To enroll in the AI-3022: Implement Knowledge Mining with Azure AI Search course, participants should meet the following criteria:
- Familiarity with Azure services and cloud platforms.
- Experience with C# or Python for AI search implementation.
- Exposure to software development and API integration.
- Understanding of AI-driven search and NLP concepts.
- Suitable for developers, AI engineers, solution architects, and data professionals.
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
- Interactive virtual classes with expert trainers for real-time learning.
- Access recorded sessions and study at your own convenience.
- Course materials, e-books, and resources are available anytime.
- Learn from anywhere with a stable internet connection.
Corporate Training
- Enhance team productivity with focused skill-building sessions.
- Tailored curriculum to align with organizational goals.
- Flexibility to choose between in-office or online sessions.
- Economical pricing for teams and bulk enrolments.
FAQ’s
Why should I choose Vinsys for the AI-3022: Implement Knowledge Mining with Azure AI Search course?
Vinsys offers expert-led, hands-on training with certified instructors and real-world case studies. Our interactive virtual labs ensure practical learning of AI-driven search solutions. We provide flexible learning modes, post-training support, and certification guidance.
Currently, we are expanding in Middle Eastern countries, such as Qatar, UAE, and KSA to facilitate continuous learning.
What is the significance of vector search in Azure AI Search?
Vector search allows AI-powered retrieval based on similarity and contextual meaning rather than exact keyword matching. This course covers embedding models, REST API-based vector queries, and practical implementation of AI-driven vector search for intelligent search solutions.
Can I apply these skills to real-world business applications?
Yes! The course includes case studies and hands-on exercises to help professionals implement AI search in e-commerce, finance, healthcare, and enterprise applications. You’ll gain practical knowledge to optimize knowledge mining, automate search processes, and improve decision-making with AI.
What are the career benefits of completing this course?
This course boosts your eligibility for roles like AI Engineer, Azure Developer, and Data Scientist. Organizations need skilled professionals to enhance business intelligence, AI-driven automation, and search optimization. The course improves job prospects in cloud computing, AI, and data analytics.
What programming knowledge do I need before enrolling?
Basic knowledge of C# or Python is required for implementing AI search solutions. Familiarity with API development, data processing, and Azure services will be beneficial. The course focuses on search indexing, custom AI skill integration, and machine learning enhancements.
How does this course help in preparing for Microsoft certifications?
It aligns with Microsoft AI and cloud certification pathways, providing foundational knowledge for Azure AI exams. Skills gained support Microsoft Certified Azure AI Engineer Associate and related certifications. The training ensures hands-on proficiency in Azure AI Search solutions.
Can I integrate Azure AI Search with external data sources?
Yes, you will learn to ingest external data using Azure Data Factory and the AI Search push API. The course covers indexing structured and unstructured data from various platforms. This ensures seamless data retrieval, enrichment, and intelligent search functionality.
How does Azure AI Search improve search accuracy and relevance?
Azure AI Search uses semantic ranking, term boosting, and custom scoring profiles to enhance accuracy. It supports vector search, multi-language analysis, and AI-powered enrichment. These features ensure more relevant, contextual, and user-friendly search experiences.
What are the main challenges in implementing AI-powered search solutions?
Challenges include data indexing complexity, performance tuning, and integration with AI models. Managing costs, search ranking optimization, and security compliance require expertise. This course equips you with strategies to overcome these challenges effectively.
How can AI-powered search solutions benefit industries in the Middle East?
AI-powered search solutions can enhance digital transformation in banking, e-commerce, oil & gas, and government sectors across Qatar, KSA, and the UAE. The course provides hands-on skills to implement AI-driven search optimization for improved efficiency, knowledge mining, and decision-making.
Why Vinsys
Seasoned Instructors
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Authorized Courseware
3,000+ Courses & 2,000+ Modules
In Synch with Tech-advancements
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Reviews
Vinsys delivered an extensive exploration of Azure AI Search through its AI-3022 training. Through practical exercises, I learned to employ semantic ranking successfully, along with vector search and AI-driven indexing. The instructor provided detailed explanations of complicated subjects which simplified their application in actual projects.
Imran ShahinAI Engineer
The AI-3022 training is strongly recommended for experts who handle AI-based search solutions. I gained confidence in optimizing Azure AI Search performance after completing training on custom AI skills and data ingestion along with ranking optimization. The practical labs enhanced learning and provided practical insights.
Mahesh PatilAzure Developer
Vinsys delivered a structured learning program that combined advanced indexing methods with knowledge-mining concepts and machine-learning implementation techniques. The interactive training at Vinsys helped me create scalable AI search applications by working with experts who guided me through real-world case studies.
Rohit NagpalTeam Lead
Our organization received substantial benefits from the corporate training delivered by Vinsys. The training taught us essential search optimization methods, vector retrieval, and ranking model implementation. Our team succeeded in developing AI-driven knowledge-mining solutions by participating in expert sessions and applying hands-on learning.
Vipin SinghSolution Architect
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