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Overview
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.
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
Delegates will learn how to
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
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
Frequently asked questions
How can I create an account on myQA.com?
There are a number of ways to create an account. If you are a self-funder, simply select the "Create account" option on the login page.
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Find more answers to frequently asked questions in our FAQs: Bookings & Cancellations page.
How do QA’s virtual classroom courses work?
Our virtual classroom courses allow you to access award-winning classroom training, without leaving your home or office. Our learning professionals are specially trained on how to interact with remote attendees and our remote labs ensure all participants can take part in hands-on exercises wherever they are.
We use the WebEx video conferencing platform by Cisco. Before you book, check that you meet the WebEx system requirements and run a test meeting to ensure the software is compatible with your firewall settings. If it doesn’t work, try adjusting your settings or contact your IT department about permitting the website.
How do QA’s online courses work?
QA online courses, also commonly known as distance learning courses or elearning courses, take the form of interactive software designed for individual learning, but you will also have access to full support from our subject-matter experts for the duration of your course.
Once you have purchased the Online course and have completed your registration, you will receive the necessary details to enable you to immediately access it through our e-learning platform and you can start to learn straight away, from any compatible device. Access to the online learning platform is valid for one year from the booking date.
All courses are built around case studies and presented in an engaging format, which includes storytelling elements, video, audio and humour. Every case study is supported by sample documents and a collection of Knowledge Nuggets that provide more in-depth detail on the wider processes.
When will I receive my joining instructions?
Joining instructions for QA courses are sent two weeks prior to the course start date, or immediately if the booking is confirmed within this timeframe. For course bookings made via QA but delivered by a third-party supplier, joining instructions are sent to attendees prior to the training course, but timescales vary depending on each supplier’s terms. Read more FAQs.
When will I receive my certificate?
Certificates of Achievement are issued at the end the course, either as a hard copy or via email. Read more here.