Cloud Computing8
AI-3022: Implement Knowledge Mining with Azure AI Search
Duration
1 Day
Upcoming Batch
09 November 2026
Batch Options
4 hours & 8 hours
Language
English / Arabic
Course Overview
The AI-3022: Implement Knowledge Mining with Azure AI Search course is designed for professionals who want to build intelligent search solutions by extracting actionable insights from large volumes of structured and unstructured data. This course focuses on implementing knowledge mining pipelines using Azure AI Search, Azure Cognitive Services, and AI enrichment techniques to deliver powerful, scalable, and enterprise-ready search experiences.
Participants will gain hands-on experience in designing, configuring, and optimising Azure AI Search solutions that transform raw content—such as documents, PDFs, images, and databases—into searchable, enriched knowledge stores. The course covers advanced indexing strategies, skillsets, enrichment pipelines, semantic search, and integration with downstream applications.
By the end of this course, learners will be able to architect end-to-end knowledge mining solutions that enhance data discoverability, improve decision-making, and support intelligent applications across industries such as finance, healthcare, legal, e-commerce, and government sectors.
This course is ideal for organisations and professionals looking to modernise enterprise search, implement AI-driven information retrieval, and leverage Microsoft Azure’s AI capabilities at scale.
Key Learning Outcomes:
By completing this course, you will be able to:
- Design and implement Azure AI Search indexes for complex data sources
- Build AI enrichment pipelines using Azure Cognitive Services
- Extract entities, key phrases, sentiment, and metadata from unstructured data
- Implement skillsets, indexers, and data sources effectively
- Enable semantic search and relevance tuning
- Secure, scale, and optimise Azure AI Search solutions
- Integrate knowledge mining outputs with applications and analytics tools
Prerequisites:
- Familiarity with Azure fundamentals
- Basic understanding of data concepts (structured and unstructured data)
- Experience with REST APIs or Azure services is recommended
Target Audience
- Azure Developers and Solution Architects
- Data Engineers and AI Engineers
- Enterprise Search and Information Architects
- IT Professionals working with large datasets
- Professionals preparing for Microsoft Azure AI certifications
Course Content
8 modules · 19 topics01Module 1: Create an Azure AI Search Solution3 topics
- Manage capacity and understand search components.
- Create and optimize indexes for better data filtering and sorting.
- Hands-On: Build and test a search solution.
02Module 2: Create a Custom Skill for Azure AI Search2 topics
- Add custom AI capabilities like text classification and machine learning skills.
- Hands-On: Develop a custom skill for enriched data analysis.
03Module 3: Create a Knowledge Store with Azure AI Search2 topics
- Learn to persist output from AI enrichment pipelines.
- Hands-On: Set up a knowledge store for long-term data management.
04Module 4: Implement Advanced Search Features3 topics
- Enhance indexes with analyzers, tokenized terms, and multilingual support.
- Apply term boosting and scoring profiles to improve relevance.
- Hands-On: Refine search results with advanced techniques.
05Module 5: Search Data Outside Azure with Azure Data Factory2 topics
- Index external data using Azure Data Factory and the push API.
- Hands-On: Add external data to your search indexes.
06Module 6: Maintain an Azure AI Search Solution3 topics
- Optimize performance, manage costs, and enhance reliability.
- Debug issues and monitor solutions effectively.
- Hands-On: Debug search issues in Azure Portal.
07Module 7: Perform Search Reranking with Semantic Ranking2 topics
- Explore L2 semantic ranking and its applications.
- Hands-On: Use semantic ranking to refine index results.
08Module 8: Perform Vector Search and Retrieval2 topics
- Understand vector embeddings and implement vector-based retrieval.
- Hands-On: Use REST APIs for advanced vector searches.
Schedule Dates
4 upcoming batchesSession TypePhysical sessions run at our training facility.
| Batch Dates | Duration | Batch Options | Language | Action |
|---|---|---|---|---|
| 09 November 2026 | 1 Day | 4 hours & 8 hours | English / Arabic | |
| 09 February 2027 | 1 Day | 4 hours & 8 hours | English / Arabic | |
| 09 May 2027 | 1 Day | 4 hours & 8 hours | English / Arabic | |
| 09 August 2027 | 1 Day | 4 hours & 8 hours | English / Arabic |
Can’t find a suitable date? Request a schedule that fits your team.
Request More InformationFAQs
What is knowledge mining in Azure AI Search?
Knowledge mining is the process of extracting insights, patterns, and structured information from large volumes of unstructured or semi-structured data using AI enrichment techniques. Azure AI Search enables this by combining indexing, cognitive skills, and search capabilities into a unified solution.
What types of data sources can be used in Azure AI Search?
Azure AI Search supports a wide range of data sources, including Azure Blob Storage, Azure Data Lake Storage, Azure SQL Database, Cosmos DB, and other structured or unstructured repositories. This enables organisations to centralise search across documents, images, PDFs, and databases.
Does the course cover unstructured data processing?
Yes. A core focus of this course is transforming unstructured content—such as scanned documents, PDFs, images, and text files—into structured, searchable data using AI enrichment and cognitive skills.
Does this course include security and access control concepts?
Yes. Learners will understand how to secure Azure AI Search solutions using role-based access control (RBAC), managed identities, and secure data source connections in enterprise environments.
Does the course address multilingual search scenarios?
Yes. The course covers language detection and multilingual indexing, enabling organisations to implement global search solutions across multiple languages.
How does this course support digital transformation initiatives?
By enabling intelligent search and automated knowledge extraction, this course helps organisations modernise information access, improve operational efficiency, and unlock value from data assets.
How We Deliver
Flexible Training Options to Meet Your Needs
Choose how you learn — live online, in-classroom, at your workplace, or internationally. CounselTrain delivers certified IT training across the UAE in the format that fits your team.
Select the method that best suits your needs.
Online Instructor-Led Training
Learn from the comfort of your workplace or at home through live virtual sessions led by expert trainers.
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Classroom Training
Participate in interactive, face-to-face training in our top 5-star training facilities in Dubai.
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Onsite Training
Learn a customised curriculum in your workplace to ensure the most impact and team participation.
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Overseas Training
Participate in our international training sessions and improve your abilities with world-class instructors.
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