

Decode Azure Cognitive Search
Course Overview
Azure Cognitive Search is a powerful search-as-a-service solution offered by Microsoft that enables developers to create sophisticated search experiences for their applications. This service provides full-text search capabilities with built-in AI to enhance the relevance and effectiveness of search results.
The course on Azure Cognitive Search provides a comprehensive overview of how to implement and manage this service. It begins by introducing the core concepts and components of Azure Cognitive Search, including the search index, data sources, and indexing. Participants will learn how to create and configure search indexes to effectively organize and retrieve data. The course covers how to integrate AI and machine learning features to enhance search functionalities, such as natural language processing and image recognition.
Practical sessions guide learners through the process of setting up and managing Azure Cognitive Search, including data ingestion, query processing, and result ranking. The course also delves into advanced topics such as customizing search experiences, optimizing performance, and ensuring data security.
By the end of the course, participants will have a solid understanding of how to leverage Azure Cognitive Search to build powerful search solutions, optimize search performance, and integrate AI capabilities into their applications.
Course Content
10 modules · 28 topics01Module 1: Introduction to Azure Cognitive Search4 topics
- What is Azure Cognitive Search?
- Overview of the service
- Key features and capabilities
- Use cases and applications
02Module 2: Elements of a Search Solution3 topics
- Understanding the search index
- Defining and managing data sources
- Indexers and skillsets
03Module 3: Building an Index - indexer3 topics
- Introduction to indexers
- Creating and configuring an indexer
- Indexing data from various sources
04Module 4: Building an Index - knowledge store3 topics
- Understanding the knowledge store
- Persisting enriched data in a knowledge store
- Creating an index in the Azure portal
05Module 5: Basic Querying Data3 topics
- Basics of querying data in Azure Cognitive Search
- Formulating search queries
- Using OData expressions for filtering, sorting, and pagination
06Module 6: Advanced Querying Data 3 topics
- Advanced querying techniques
- Full-text search capabilities
- Scoring profiles and tuning relevance
07Module 7: Implementing Knowledge Mining with Azure Cognitive Search - Part 13 topics
- Introduction to knowledge mining
- Understanding the enrichment pipeline
- Creating and configuring skill sets
08Module 8: Implementing Knowledge Mining with Azure Cognitive Search - Part 23 topics
- Advanced skills in the enrichment pipeline
- Knowledge mining best practices
- Troubleshooting common issues
09Module 9: Advanced Concepts2 topics
- Field Mapping, Synonym Map, Suggestions API, Filters, and Facets
- Using incremental caching using high watermark
10Module 10: Hands-on Training and Q&A1 topic
- Hands-on exercises on all topics covered
Schedule Dates
4 upcoming batches| Batch Dates | Duration | Batch Options | Language | Action |
|---|---|---|---|---|
| 28 December 2026 - 29 December 2026 | 2 Days | 8 hours & 4 hours | English / Arabic | |
| 29 March 2027 - 30 March 2027 | 2 Days | 8 hours & 4 hours | English / Arabic | |
| 05 July 2027 - 06 July 2027 | 2 Days | 8 hours & 4 hours | English / Arabic | |
| 11 October 2027 - 12 October 2027 | 2 Days | 8 hours & 4 hours | English / Arabic |
Can’t find a suitable date? Request a schedule that fits your team.
Request More InformationFAQs
What are the prerequisites for this course?
Basic understanding of search technologies and familiarity with cloud computing concepts are recommended. Experience with Microsoft Azure and machine learning concepts will be advantageous but is not required.
How is the course structured?
The course is designed to cover:
- Introduction to Azure Cognitive Search
- Setting up and configuring Azure Cognitive Search
- Analyzing and indexing data from various sources
- Implementing search features and functionalities
- Developing personalized search results
- Best practices for organizing and exploring unstructured content
- Real-world case studies and practical applications
What will I learn from this course?
You will learn to utilize Azure Cognitive Search for advanced search capabilities, manage and analyze big data, create personalized search results, and integrate search functionalities into applications to enhance business decision-making.
Are there any hands-on projects in this course?
Yes, the course includes practical hands-on labs and projects that allow you to apply the concepts learned in real-world scenarios.
How can I enroll in the course?
To enroll, visit the CounselTrain website and follow the registration process. For additional assistance, you can contact our support team.
What industries benefit from Azure Cognitive Search?
Azure Cognitive Search benefits various industries, including finance, healthcare, retail, and technology. It helps organizations enhance search functionalities, manage unstructured data, and improve decision-making processes.
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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