category
Implement Knowledge Mining with Azure AI Search
Type
Virtual
Classroom ILT
Skill Level
Available dates
Learning Path
Virtual
Duration
1 Day
TYPE
Virtual
Classroom ILT
LEARNING PATH
SKILL LEVEL
DURATION
AVAILABLE DATES
Introduction
Do you have information locked up in structured and unstructured data sources? Using Azure AI Search, you can extract key insights from this data and enable applications to search and analyse them.
Audience Profile
This course is designed for professionals who want to build and manage intelligent search solutions using Azure AI. The primary audience includes:
- AI Engineers
- Solution Architects
- IDevelopers
Pre-requisites
Before attending this course, delegates must have:
- Familiarity with Microsoft Azure
Application development experience with C# or Python
Course objectives
After completing this course, students will be able to:
- Understand the fundamentals of Azure AI Search
- 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 content
| Module 1: Create an Azure AI Search solution | |
| In this module, you will unlock the hidden insights in your data with Azure AI Search. | |
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| Module 2: Create a custom skill for Azure AI SearchService | |
| Use the power of artificial intelligence to enrich your data and find new insights with custom skills
in Azure AI Search. |
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| Module 3: Create a knowledge store with Azure AI Search | |
| Persist the output from an Azure AI Search enrichment pipeline for independent analysis or downstream processing. | |
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| Module 4: Implement advanced search features in Azure AI bSearch | |
| Use more advanced features of Azure AI Search to improve your existing search solutions. Learn how to change the ranking on documents, boost terms, and allow searching in multiple languages. | |
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| Module 5: Search data outside the Azure platform in Azure AI Search using Azure Data Factory | |
| Use Azure Data Factory to add data that resides inside or outside the Azure platform into your search indexes. | |
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| Module 6: Maintain an Azure AI Search solution | |
| Maintain the performance, cost, and reliability of your Azure AI Search solutions. | |
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| Module 7: Perform search reranking with semantic ranking in Azure AI Search | |
| Learn how to perform L2 ranking with semantic ranker in Azure AI Search. | |
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| Module 8: Perform vector search and retrieval in Azure AI Search | |
| Learn how to perform vector search and retrieval in Azure AI Search. | |
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Associated certifications and exam
There is no Associated certification & Exam for this course.
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