4.63
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.
Learning Options
Schedule Dates
Decode Azure Cognitive Search
Decode Azure Cognitive Search
Decode Azure Cognitive Search
Decode Azure Cognitive Search
Course Content
- What is Azure Cognitive Search?
- Overview of the service
- Key features and capabilities
- Use cases and applications
- Understanding the search index
- Defining and managing data sources
- Indexers and skillsets
- Introduction to indexers
- Creating and configuring an indexer
- Indexing data from various sources
- Understanding the knowledge store
- Persisting enriched data in a knowledge store
- Creating an index in the Azure portal
- Basics of querying data in Azure Cognitive Search
- Formulating search queries
- Using OData expressions for filtering, sorting, and pagination
- Advanced querying techniques
- Full-text search capabilities
- Scoring profiles and tuning relevance
- Introduction to knowledge mining
- Understanding the enrichment pipeline
- Creating and configuring skill sets
- Advanced skills in the enrichment pipeline
- Knowledge mining best practices
- Troubleshooting common issues
- Field Mapping, Synonym Map, Suggestions API, Filters, and Facets
- Using incremental caching using high watermark
- Hands-on exercises on all topics covered
FAQs
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.
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
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.
Yes, the course includes practical hands-on labs and projects that allow you to apply the concepts learned in real-world scenarios.
To enroll, visit the CounselTrain website and follow the registration process. For additional assistance, you can contact our support team.
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.
Duration
Language
Batch Options
Upcoming Batch
Soft copy of Courseware
Certificate of Course Complition
Experienced and Professional Trainer
Lab and Exercises During Training 
Sample Questions for Exam Prepration
Mock Test on the Last Day of Training 
Exam Registration Guidance 
5-Star Training Environmment