Implement Knowledge Mining with Azure AI Search AI-3022 Training Plan: Detailed Modules
Module 1: Create an Azure AI Search solution
- Manage capacity
- Understand search components
- Understand the indexing process
- Search an index
- Apply filtering and sorting
- Enhance the index
- Exercise – Create a search solution
Module 2: Create a custom skill for Azure AI Search
- 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
Module 3: Create a knowledge store with Azure AI Search
- Define projections
- Define a knowledge store
- Exercise – Create a knowledge store
Module 4: Implement advanced search features in Azure AI Search
- 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
Module 5: Search data outside the Azure platform in Azure AI Search using Azure Data Factory
- 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
Module 6: Maintain an Azure AI Search solution
- 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
Module 7: Perform search reranking with semantic ranking in Azure AI Search
- What is semantic ranking?
- Set up semantic ranking
- Exercise – Use semantic ranking on an index
Module 8: Perform vector search and retrieval in Azure AI Search
- What is vector search?
- Prepare your search
- Understand embedding
- Exercise – Use the REST API to run vector search queries
Recommended prerequisite knowledge
- Familiarity with Microsoft Azure
- Application development experience with C# or Python
Credentials and certification
Features
- Preparatory training for obtaining a Microsoft Applied Skills credential.
- Performance is assessed through an interactive remote lab.
- Duration: 120 minutes
- Cost: $0
Assessment’s technical tasks
- Create an enrichment pipeline
- Create and manage skill sets
- Create a custom skill
- Debug a skill set
- Store and explore output
Azure AI Search Knowledge Mining Training
The Azure AI Search Knowledge Mining training is designed to empower IT professionals with the knowledge and skills needed to implement robust data exploration solutions in Microsoft Azure. This course provides an in-depth understanding of Azure AI Search capabilities, including setting up search indexes, creating enrichment pipelines, and analyzing unstructured data to optimize insight extraction from Azure data resources.
By mastering Azure AI Search, participants can ensure proactive management of their data environments, enabling efficient discovery and in-depth analysis of information.
Why Take This Training?
Effectively exploring data resources is critical to maintaining information discoverability and accessibility. Azure AI Search is a comprehensive solution for indexing, analyzing, and optimizing Azure data. This training provides the expertise to configure and utilize Azure AI Search for advanced insights and operational efficiency.
Participants will learn how to set up automated search indexes, customize knowledge mining solutions, and leverage analytics to improve the discoverability of their data infrastructure.
Skills Developed During the Training
Setting Up Azure AI Search
Learn how to deploy Azure AI Search to oversee the performance and health of your data resources.Customizing Enrichment Pipelines
Master the creation of pipelines for key metrics and events to enable proactive insight extraction management.Utilizing Search Analytics
Explore how to analyze telemetry data and logs for actionable insights using Azure AI Search’s powerful tools.Building Custom Indexes
Design indexes that consolidate critical information and provide real-time insights into system performance.Integrating with Azure Services
Discover how to integrate Azure AI Search with other Azure services like Azure AI Services and Azure Machine Learning.Implementing Best Practices in Knowledge Mining
Gain expertise in optimizing configurations to ensure cost-effective and reliable cloud data exploration.
Interactive, Practice-Oriented Training
Led by certified Azure experts, this course combines theoretical knowledge with practical exercises. Participants will work on real-world scenarios to apply Azure AI Search features effectively, ensuring readiness for professional challenges.
Who Should Attend?
- Cloud administrators managing Azure data resources
- IT professionals responsible for data exploration and diagnostics
- Systems architects designing scalable and reliable cloud solutions
- Anyone interested in learning advanced knowledge mining techniques for Azure
Enhance Your Azure Management with Azure AI Search Expertise
The Implement Knowledge Mining with Azure AI Search (AI-3022) training equips you with the skills needed to leverage Azure AI Search for optimizing your cloud data operations. Enroll now to master advanced knowledge mining techniques and ensure the resilience and efficiency of your Azure environment.
Frequently Asked Questions - Azure AI Search Training (FAQ)
It covers deployment, configuration, enrichment pipelines, custom indexes, search analytics, and integration with other Azure services.
Basic understanding of Azure services and data exploration concepts is recommended but not mandatory.
Yes, the course features practical labs and real-world scenarios for applying knowledge mining skills.
It enables intelligent discovery, automated insight extraction, and in-depth analysis of structured and unstructured data.
Yes, it integrates seamlessly with Azure AI Services, Azure Machine Learning, and other Microsoft solutions.
Absolutely, the training covers optimization strategies and best practices for effective data exploration.