Organisations generate vast amounts of structured and unstructured data, yet much of its value remains untapped. This learning path explores how to use Azure AI Search to unlock that value by transforming raw data into searchable, enriched, and actionable insights.

We believe organisations that can connect data, AI, and cloud technologies will gain a significant competitive advantage. In this learning path, learners will design knowledge mining solutions that use AI enrichment pipelines to extract meaning from content, improve discoverability, and enable intelligent applications. The focus is on practical implementation, showing how to build scalable search solutions that combine indexing, enrichment, and analytics within Azure environments.

We can organize this training at your preferred date and location.

Prerequisites

Participants should have:

Familiarity with Microsoft Azure services and concepts
Application development experience using C# or Python
Understanding of data processing and integration concepts is beneficial
Basic knowledge of APIs and data workflows is recommended

Target audience

This learning path is designed for:

Developers building intelligent search and discovery applications
AI engineers implementing data enrichment and analysis pipelines
Solution architects designing scalable data and AI solutions
Technical professionals working with Azure-based data platforms

What You Will Learn

By the end of this learning path, learners will be able to:

Design and implement knowledge mining solutions using Azure AI Search
Create, manage, and optimise search indexes and indexers
Enrich data using built-in and custom AI skills
Persist enriched outputs in knowledge stores for downstream use
Implement advanced search features to improve relevance and user experience
Integrate data from multiple sources within and outside Azure

Training Outline

Introduction to knowledge mining and Azure AI Search

Overview of knowledge mining concepts and benefits
Understanding Azure AI Search architecture and components
Key use cases for intelligent search and data discovery
Challenges in extracting insights from complex data sets

Creating an Azure AI Search solution

Setting up and configuring Azure AI Search services
Designing search solutions for scalability and performance
Managing service tiers, capacity, and cost considerations
Connecting to data sources within Azure

Indexing and managing data

Creating and configuring search indexes
Using indexers to automate data ingestion
Mapping fields and managing schema design
Handling structured and unstructured data sources

AI enrichment pipelines and custom skills

Introduction to AI enrichment in Azure AI Search
Using built-in cognitive skills for text and image processing
Developing and integrating custom skills
Orchestrating enrichment pipelines for complex workflows

Persisting enrichment output with knowledge stores

Understanding knowledge stores and their purpose
Storing enriched data for analytics and reporting
Designing data structures for downstream consumption
Integrating with analytics tools and dashboards

Implementing advanced search and relevance features

Full-text search and filtering techniques
Relevance tuning and scoring profiles
Implementing semantic search capabilities
Enhancing user experience with intelligent ranking

Integrating external data sources and workflows

Indexing data from external systems and repositories
Using Azure Data Factory for data movement and orchestration
Building end-to-end pipelines for knowledge extraction
Ensuring data freshness and consistency

Exams and assessments

There are no formal exams included in this learning path. Learners will complete knowledge checks and guided exercises to reinforce understanding of Azure AI Search capabilities and knowledge mining solution design.

Hands-on learning

This learning path includes:

Practical exercises for creating and managing search indexes
Guided labs for building AI enrichment pipelines
Scenario-based tasks focused on real-world knowledge mining use cases
Activities integrating Azure AI Search with external data sources

Why Choose Us

Experience Implement knowledge mining with Azure AI Search in Sweden through Bilginç IT Academy's live and interactive virtual classroom environment. Join a Public course as an individual delegate or arrange a dedicated Private / In-house online training program exclusively for your organization.

Delivery Method: Online Instructor-Led
Participation Model: Public / Private (In-house)
Live and Interactive Training: Connect with your instructor in real time and actively participate through discussions, Q&A sessions, practical exercises, and group activities.
Flexible Participation: Join the training from your home, office, or any location with a suitable internet connection.
Expert Trainer Network: Learn from experienced trainers with strong industry backgrounds and practical field expertise.
Over 30 Years of Training Expertise: Benefit from Bilginç IT Academy's professional training experience since 1995.
Worldwide Access: Join our live virtual classrooms from Sweden or anywhere else in the world, or arrange a dedicated online training program for your organization.

Experience Implement knowledge mining with Azure AI Search through face-to-face Classroom Based training in Sweden. Training can be delivered as a Public course open to individual delegates or as a dedicated Private / In-house class for your organization.

Delivery Method: Classroom Based
Participation Model: Public / Private (In-house)
Face-to-Face Learning: Interact directly with your instructor and fellow delegates in an engaging classroom environment.
Experienced Trainers: Learn from specialists with extensive industry experience and practical real-world knowledge.
Professional Training Environment: Attend training in comfortable, well-equipped classrooms designed to support effective learning.
Practical Learning: Depending on the course, reinforce your knowledge through hands-on exercises, scenarios, case studies, and instructor-led activities.

Arrange Implement knowledge mining with Azure AI Search in Sweden as a dedicated Onsite training program for your organization. Bilginç IT Academy trainers can deliver the training at your office or another location of your choice, with the program planned around your team's requirements and business objectives.

Delivery Method: Onsite
Participation Model: Private (In-house)
Training at Your Preferred Location: Organize the training at your company's office or another location selected by your organization.
Tailored Course Content: Adapt the training program to your projects, team structure, existing skill levels, and specific business requirements.
Team-Focused Learning: Develop your team around a shared knowledge base while strengthening internal collaboration and knowledge transfer.
Flexible Scheduling: Plan the training dates, location, and program according to your organization's operational requirements.
Worldwide Onsite Delivery: Arrange the training in Sweden or at another preferred location worldwide. Bilginç IT Academy trainers can travel to your selected location to deliver the dedicated training program.

Why have you chosen us?

I have attended a training from Bilginc IT Academy before and I was satisfied.

I have attended a training from a different provider and it was not helpful.

Other

How many employees do you have in your IT department?

0 – 50

50 – 250

250 – 1000

1000+

Implement knowledge mining with Azure AI Search Training in Sweden

Prerequisites

Target audience

What You Will Learn

Training Outline

Exams and assessments

Hands-on learning

Why Choose Us

Implement knowledge mining with Azure AI Search Training Course in Sweden Schedule

Implement knowledge mining with Azure AI Search Training in Sweden

Prerequisites

Target audience

What You Will Learn

Training Outline

Exams and assessments

Hands-on learning

Why Choose Us

Online Instructor-Led Training

Classroom Based Training

Onsite Training

Implement knowledge mining with Azure AI Search Training Course in Sweden Schedule