Implement AI Skills using Azure Search

Implement AI Skills using Azure Search

Transform Your Ideas into AI Solutions with Microsoft Azure: From Design to Deployment.

What does the Course Offer

5

10

16

11

12

Objectives

Practice Tests

Training Hours

Exercises

Knowledge Checks

Learn how to implement a search solution and search skills with Azure AI Search. This course teaches you to create your own search resources, develop search skills, enrich your search index, and integrate your solution with your own client applications.

Course Overview

Implement AI Skills in Azure AI Search course equips learners with the expertise to build, enhance, and manage search solutions using Azure AI Search. Participants will gain hands-on experience in creating custom AI search applications, integrating advanced search features, and enriching data using Azure AI Language and Machine Learning models.

This course covers the full cycle of developing a powerful AI-driven search solution, from data ingestion to search relevance improvement, ensuring participants are prepared to implement scalable and intelligent search systems in Azure.

Learning Outcomes

Upon Completing the course, student can

1. Build an Azure AI Search Solution:
   Design and implement scalable AI-powered search solutions using Azure Cognitive Search.

2. Create Custom Skills to Enhance Your Index:
   Develop and integrate custom cognitive skills (e.g., sentiment analysis, entity recognition) to enrich search results.

3. Build a Knowledge Store for Use in a Search Solution:
   Create and manage a knowledge store to store enriched data and improve future queries and analytics.

4. Implement Advanced Search Features:
   Utilize features like semantic search, faceted search, and custom scoring to optimize search results.

5. Maintain and Debug an Azure AI Search Solution:
   Monitor performance, troubleshoot issues, and optimize search queries and indexing for better results.

Audience Profile

• Aspiring AI professionals

• Business Analysts

• AI Developers

• Solution Architects

• Data Scientists

• Business Professionals

Prerequisites

• Familiarity with Azure and the Azure portal.

• Experience programming with C# or Python.

Course Objectives

• Build and deploy a comprehensive Azure AI Search solution.

• Develop and integrate custom skills to enhance Azure AI Search.

• Create and manage a knowledge store for enriched search experiences.

• Use Azure AI Language to enrich search indexes with custom classes.

• Implement advanced search features, including term boosting and multi-language support.

Format

Blended (Online Training + Discussions)

Streaming Platform

Microsoft Teams Online

Course Schedule

On Demand

Trainer

Kappagantula Srikanth

Duration

16 Hours

Course Fee

$1000

Course Outline

Prerequisites (1 Hour)

• Install Visual Studio

• Install Azure PowerShell & CLI

• Create/Access Microsoft Learn Account

• Create/Access GitHub Account

• Create/Access Microsoft Azure Account

Create Azure AI Search Solution

• Introduction

• Manage capacity

• Understand search components

• Understand the indexing process

• Search an index

• Apply filtering and sorting

• Enhance the index

• Exercise - Create a search solution

Create Custom Skill in Azure AI Search

• Introduction

• Define the custom skill schema

• Add a custom skill

• Custom text classification skill

• Machine learning custom skill

• Exercise - Create a Custom Skill for Azure AI Search

Create a knowledge store with Azure AI Search

• Introduction

• Define projections

• Define a knowledge store

• Exercise - Create a knowledge storeAnalyze text with Azure AI Language

Implement advanced search features in Azure AI Search

• Introduction

• Improve the ranking of a document with term boosting

• Improve the relevance of results by adding scoring profiles

• Improve an index with analyzers and tokenized terms

• Enhance an index to include multiple languages

• Improve search experience by ordering results by distance from a given reference point

• Exercise: Implement enhancements to search results

Search data outside the Azure platform in Azure AI Search using Azure Data Factory

• Introduction

• Index data from external data sources using Azure Data Factory

• Index any data using the Azure AI Search push API

• Exercise: Add to an index using the push API

Maintain an Azure AI Search solution

• Introduction

• Manage security of an Azure AI Search solution

• Optimize performance of an Azure AI Search solution

• Manage costs of an Azure AI Search solution

• Improve reliability of an Azure AI Search solution

• Monitor an Azure AI Search solution

• Debug search issues using the Azure portal

• Exercise - Debug search issues

Perform search reranking with semantic ranking in Azure AI Search

• Introduction

• What is semantic ranking?

• Set up semantic ranking

• Exercise - Use semantic ranking on an index

Perform vector search and retrieval in Azure AI Search

• Introduction

• What is vector search?

• Prepare your search

• Understand embedding

• Exercise - Use the REST API to run vector search queries

Enquire about the Course

You can also reach out to us through the following options

Phone

+65-91709407

Email

info@empowerone.cloud

WhatsApp Channel