Get This Course
$595.00
January 8
9:00 AM – 4:00 PM CST
February 5
9:00 AM – 4:00 PM CST
March 4
9:00 AM – 4:00 PM CST
April 8
9:00 AM – 4:00 PM CST
May 6
9:00 AM – 4:00 PM CST
June 3
9:00 AM – 4:00 PM CST
July 8
9:00 AM – 4:00 PM CST
August 5
9:00 AM – 4:00 PM CST
September 9
9:00 AM – 4:00 PM CST
October 7
9:00 AM – 4:00 PM CST
Reserve Your Seat
- Virtual instructor Led Training
- Complete Hands-on Labs
- Softcopy of Courseware
- Learning Labs
- Virtual instructor Led Training
- Complete Hands-on Labs
- Softcopy of Courseware
- Learning Labs
- You can use your Purchase Card and checkout
- The GSA Contract Number: 47QTCA20D000D
- Call 800-453-5961 for details
- Customize your class
- Delivery Onsite or Online for your organization
- Choice of Dates when and where you want
- Guidance in choosing and customizing your class
Question About this Course?
Course Overview
Learning how to Implement AI Skills in Azure AI Search
Course Objectives
- Understand the fundamentals of Azure AI Search.
- Learn how to implement AI-driven search capabilities in applications using Azure.
- Gain hands-on experience with intelligent search, indexing, and natural language processing (NLP).
- Apply best practices for optimizing search functionality and managing search services.
Course Prerequisites
- Familiarity with basic Azure services and cloud concepts.
- Basic knowledge of search concepts and indexing.
Agenda
Module 1: Introduction to Azure AI Search
- Overview of Azure AI Search and its capabilities.
- Key concepts: intelligent search, indexing, and NLP in Azure AI Search.
- Real-world applications and industry use cases for AI-enhanced search.
- Introduction to the architecture and components of Azure Cognitive Search.
Module 2: Setting Up Azure Cognitive Search
- Creating and configuring an Azure Cognitive Search service.
- Exploring the Azure portal interface for search service management.
- Indexing basics: creating indexes, data sources, and indexers.
- Hands-on: Setting up a search service and indexing a sample dataset.
Module 3: Enhancing Search with AI-Powered Skills
- Introduction to cognitive skills in Azure Cognitive Search.
- Adding enrichments: image analysis, language detection, sentiment analysis, entity recognition.
- Using built-in cognitive skills vs. creating custom skills.
- Hands-on: Building a search index with AI enrichments for enhanced search experiences.
Module 4: Implementing NLP in Azure Cognitive Search
- Natural language processing capabilities in Azure Cognitive Search.
- Utilizing semantic search, synonyms, and language understanding.
- Optimizing search relevance with NLP: analyzing user intent and query expansion.
- Hands-on: Configuring and testing NLP features to improve search results.
Module 5: Security and Optimization of Azure Search
- Best practices for securing Azure Cognitive Search services.
- Role-based access control (RBAC) and authentication options.
- Scaling search services and optimizing query performance.
- Monitoring and troubleshooting search applications in Azure.
Module 6: Advanced Search Scenarios and Integration
- Integrating Azure Cognitive Search with other Azure services (e.g., Power BI, Logic Apps).
- Advanced use cases: product catalog search, document search, and knowledge mining.
- Practical examples of multi-language support and geo-spatial search.
- Hands-on: Developing a simple search application using Azure Cognitive Search.
Final Project and Q&A
- Practical exercise: Participants will design a basic search solution incorporating AI skills.
- Group presentations of project ideas and implementation strategies.
- Open Q&A session and review of key learning points.
Question About this Course?
Need help picking the right course?
Contact Us
Call Now
Call Now800-453-5961
×