Azure AI Search Training Online

SKU: 3889
9 Lesson
|
30 Hours
Enroll in igmGuru's Azure Cognitive Search Training to master Azure AI Search, Microsoft's cloud-based indexing and retrieval platform. The Azure Cognitive Search course covers index design, indexers, AI skillsets, vector search, semantic ranking, and RAG integration, preparing you to build intelligent, production-ready search experiences across real enterprise applications with confidence.

Azure AI Search Course Overview

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 igmGuru for This Training?

igmGuru 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
  • igmGuru Course Completion Certificate on successful completion

Key Features

Azure AI Search Course Modules

1. Evolution from Azure Search to Azure Cognitive Search to Azure AI Search
2. Core concepts: search service, indexes, documents, and queries
3. Pricing tiers and capacity planning
1. Index schema design: fields, types, and attributes
2. Analyzers, tokenizers, and language-specific search
3. Scoring profiles and relevance tuning
1. Connecting data sources: Blob Storage, Cosmos DB, SQL Database
2. Creating, scheduling, and monitoring indexers
3. Handling incremental indexing and change detection
1. Built-in skills: OCR, key phrase extraction, entity recognition
2. Creating custom skills with Azure Functions
3. Knowledge stores and enrichment caching
1. Generating and storing vector embeddings
2. Configuring hybrid (keyword + vector) search
3. Implementing the semantic ranker for improved result relevance
1. Querying indexes using REST API and SDKs (C#, Python)
2. Filtering, faceting, and paging search results
3. Integrating search into web and enterprise applications
1. Fundamentals of Retrieval-Augmented Generation
2. Connecting Azure AI Search with Azure OpenAI
3. Building a RAG-based Q&A or copilot application
1. Role-based access control and network security
2. Monitoring performance with Azure Monitor
3. Cost optimization and scaling strategies
1. End-to-end capstone project on knowledge mining
2. Guidance on current Microsoft certification paths related to Azure AI Search
3. Interview questions and mock assessments
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Azure AI Search Training and Batch Details

Online Class Room Program

US $ 799.00
100% Money Back Guarantee
  • Duration : 30 Hrs
  • Plus Self Paced

Classes Starting From

  • Fast Track Batch 11 Aug 2026
  • Weekday Batch 17 Aug 2026
  • Weekend Batch 15 Aug 2026

1 ON 1 Training

US $ 899.00
100% Money Back Guarantee
  • Duration : 30 Hrs
  • Plus Self Paced

Classes Starting From

  • Fast Track Batch 11 Aug 2026
  • Weekday Batch 17 Aug 2026
  • Weekend Batch 15 Aug 2026

Corporate Training

Corporate Training
  • Customized Training Delivery Model
  • Flexible Training Schedule Options
  • Industry Experienced Trainers
  • 24x7 Support

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Azure AI Search Certification

Microsoft does not currently offer a certification exam dedicated solely to Azure AI Search. Azure AI Search skills are instead validated as part of broader, role-based Microsoft credentials:

  • Azure AI Search concepts were historically assessed within Exam AI-102 (Microsoft Certified: Azure AI Engineer Associate), which retired on June 30, 2026.
  • The Microsoft Applied Skills credential "Implement knowledge mining with Azure AI Search" (AI-3022) has also been retired as of mid-2026.
  • Microsoft's current path for validating Azure AI application and search-related skills is Exam AI-103 (Azure AI App and Agent Developer Associate), which now covers Azure AI Search alongside Azure AI Foundry, agent orchestration, and generative AI development.
  • Microsoft periodically updates its certification roadmap, so learners should confirm exam availability on Microsoft Learn before scheduling.

On completing this Azure AI Search Certification training, igmGuru issues a course completion certificate and provides guidance to prepare for Microsoft's current role-based exam.

Azure AI Search Certification

FAQ's

They are the same product. Microsoft renamed Azure Cognitive Search to Azure AI Search in November 2023 to reflect its expanded role in generative AI and RAG scenarios. Older documentation, SDKs, and API strings may still reference the earlier name.

No. This Azure AI Search for Beginners friendly course starts with fundamentals. Basic familiarity with cloud concepts and any programming language such as Python or C# is helpful but not mandatory.

There is no standalone exam for Azure AI Search today. It is covered within Microsoft's broader AI Engineer path, currently represented by Exam AI-103, following the retirement of AI-102 and the AI-3022 Applied Skills credential in 2026.

The course runs for 24 hours of instructor-led training, delivered across flexible weekday or weekend batches, along with self-paced lab exercises.

Yes. Learners get access to session recordings, doubt-resolution support, interview preparation guidance, and resume-building assistance after course completion.

Yes. The course is structured so beginners can follow along, with concepts introduced step by step before moving into REST API, SDK, and RAG-based implementation.

You will work with the Azure Portal, Azure AI Search REST APIs and SDKs, Azure Blob Storage, Azure OpenAI Service, Postman, and Visual Studio Code throughout the hands-on labs.


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