Azure AI Search, formerly known as Azure Cognitive Search, powers intelligent search and retrieval-augmented generation across modern applications. This training walks you through creating search resources, building indexes, configuring indexers, applying AI enrichment through skillsets, and enabling vector and semantic search. Guided by practitioners working on live Azure projects, the course blends conceptual clarity with hands-on labs, so you leave equipped to design, secure, and optimize production-grade search solutions instead of only knowing the theory behind them.
Prerequisites
This course is beginner-friendly, though a basic technical foundation makes the learning curve smoother:
- Basic understanding of cloud computing concepts
- Familiarity with Microsoft Azure fundamentals (AZ-900 level knowledge helps but isn’t mandatory)
- Working knowledge of C#, Python, or REST APIs
- Basic exposure to JSON and REST-based services
- No prior hands-on Azure AI Search experience is required
Course Objectives
This Azure Cognitive Search Course is built to develop job-ready search and retrieval skills from the ground up.
- Understand the architecture and components of Azure AI Search
- Learn to create, populate, and manage search indexes
- Build indexers to pull data automatically from diverse sources
- Apply AI skillsets for content enrichment and knowledge mining
- Implement vector search, hybrid search, and semantic ranking
- Integrate Azure AI Search into RAG-based Generative AI applications
- Secure, monitor, and scale search workloads for production use
What You Will Learn
By the end of this Azure AI Search Online Course, you will be able to:
- Design and configure a search service in the Azure portal
- Create indexes, fields, and analyzers suited to different data types
- Build and schedule indexers for structured and unstructured data
- Use built-in and custom skills for OCR, entity recognition, and translation
- Configure vector embeddings and the semantic ranker for better relevance
- Query search indexes using REST APIs and SDKs in C# and Python
- Connect Azure AI Search with Azure OpenAI for RAG scenarios
- Apply security, scaling, and performance optimization best practices
Who Is This Course For?
This Microsoft Azure AI Search Training suits a wide range of technology professionals.
- Software developers building search-enabled applications
- Data engineers working with enterprise content and knowledge mining
- AI and ML engineers building Generative AI and RAG solutions
- Solution architects designing intelligent information retrieval systems
- IT professionals moving into Azure AI-focused roles
- Beginners exploring Azure AI Search for the first time
Tools and Technologies Covered
- Azure AI Search (Azure Cognitive Search) service
- Azure Portal and Azure CLI
- Azure AI Search REST API and SDKs (.NET, Python)
- Azure Blob Storage, Cosmos DB, and Azure SQL as data sources
- Azure AI Services – Vision, Language, and Translator
- Azure OpenAI Service for embeddings and RAG
- Postman for API testing
- Visual Studio Code
Skills You Will Gain
This course builds practical, in-demand skills for search and AI-driven application development.
- Index design and schema modeling
- Indexer configuration and data ingestion pipelines
- AI enrichment through custom and built-in skillsets
- Vector search and embedding-based retrieval
- Semantic ranking and hybrid search tuning
- RAG pipeline integration with Azure OpenAI
- Search relevance tuning and query optimization
- Search service security and access management
Career Outcomes
Completing this Azure AI Search Certification Course can open doors to several in-demand roles.
- Azure Search Developer
- AI Engineer / Applied AI Engineer
- Knowledge Mining Specialist
- Azure Solutions Architect
- Data Engineer (AI-focused roles)
- Generative AI / RAG Developer
Why Choose kodestree for This Training?
kodestree brings practical, mentor-led learning designed around real project scenarios.
- Instructor-led Azure Cognitive Search Online Training with live sessions
- Curriculum updated to reflect Azure AI Search’s latest features and naming changes
- Hands-on labs covering indexing, skillsets, and RAG integration
- Learn Azure AI Search from practitioners with real Azure project experience
- Lifetime access to session recordings and course material
- Flexible batches for working professionals and students
- Dedicated support for interview preparation and resume building
- kodestree Course Completion Certificate on successful completion
