AI-3022: Implement Knowledge Mining with Azure AI Search

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

Flexible Training Options to
Meet Your Needs

We know the importance of flexibility in the success of learning and professional development. This is the reason CounselTrain provides a variety of delivery options for all IT training offered in the UAE to ensure access and convenience for each learner.

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.

Classroom Training

Participate in interactive, face-to-face training in our top 5-star training facilities in Dubai

Onsite Training

Learn a customized curriculum in your workplace to ensure the most impact and team participation.

Overseas Training

Participate in our international training sessions and improve your abilities with world-class instructors.

Target Audiance

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

Schedule Dates

09 February 2026

AI-3022: Implement Knowledge Mining with Azure AI Search

11 May 2026

AI-3022: Implement Knowledge Mining with Azure AI Search

17 August 2026

AI-3022: Implement Knowledge Mining with Azure AI Search

23 November 2026

AI-3022: Implement Knowledge Mining with Azure AI Search

Course Content

Manage capacity and understand search components.
Create and optimize indexes for better data filtering and sorting.
Hands-On: Build and test a search solution.

Add custom AI capabilities like text classification and machine learning skills.
Hands-On: Develop a custom skill for enriched data analysis.

Learn to persist output from AI enrichment pipelines.
Hands-On: Set up a knowledge store for long-term data management.

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.

Index external data using Azure Data Factory and the push API.
Hands-On: Add external data to your search indexes.

Optimize performance, manage costs, and enhance reliability.
Debug issues and monitor solutions effectively.
Hands-On: Debug search issues in Azure Portal.

Explore L2 semantic ranking and its applications.
Hands-On: Use semantic ranking to refine index results.

Understand vector embeddings and implement vector-based retrieval.
Hands-On: Use REST APIs for advanced vector searches.

FAQs

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.

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.

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.

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.

Yes. The course covers language detection and multilingual indexing, enabling organisations to implement global search solutions across multiple languages.

By enabling intelligent search and automated knowledge extraction, this course helps organisations modernise information access, improve operational efficiency, and unlock value from data assets.

AI-3022: Implement Knowledge Mining with Azure AI Search

Course Overview

Key Learning Outcomes:

Prerequisites: