AI-3022 Implement knowledge mining with Azure AI Search
Guaranteed to Run
Price
$695.00
Duration
1 Day
Delivery Methods
Virtual Instructor Led Private Group
Delivery
Virtual
ESTDescription
Objectives
Prerequisites
Content
Course Description
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 analyze them.
Course Objectives
- Design & Implement Solutions – Build AI-driven search across structured and unstructured data.
- Custom AI Skills – Integrate text classification, ML models, and enrichment capabilities.
- Knowledge Stores – Persist enriched data for downstream analysis.
- Advanced Search Features – Apply semantic ranking, vector search, boosting, and scoring profiles.
- Manage Indexes – Optimize indexing, filtering, sorting, and multilingual support.
- Optimization & Maintenance – Handle large datasets, evaluate performance, and manage costs.
- Data Integration – Ingest external data with Azure Data Factory for knowledge mining.
- Security – Apply best practices to secure search data in Azure.
Who Should Attend?
- AI Engineers – integrate search into AI applications
- Developers – build search and analytics solutions with Azure
- Solution Architects – design enterprise search solutions
- Data Professionals – extract insights from diverse data sources
- IT Professionals – enhance organizational data search and analysis
- Students – interested in cloud-based AI solutions
Course Prerequisites
Familiarity with Microsoft Azure Application development experience with C# or Python
Course Content
Module 1: Build and Manage an Azure AI Search Solution
- Manage capacity and search components
- Understand the indexing process
- Search an index with filtering and sorting
- Enhance and maintain indexes
Module 2: Custom Skills and Enrichment
- Define and add custom skills
- Implement text classification and machine learning skills
- Create enrichment pipelines
Module 3: Knowledge Stores
- Define projections
- Create and manage knowledge stores for enriched data
Module 4: Advanced Search Features
- Ranking and term boosting
- Scoring profiles and analyzers
- Multilingual support
- Geospatial search and ordering by distance
Module 5: Data Integration and Retrieval
- Index external data sources with Azure Data Factory
- Use the push API for custom data ingestion
- Apply semantic ranking for search reranking
- Implement vector search and embeddings
Module 6: Optimization, Security, and Monitoring
- Secure Azure AI Search solutions
- Optimize performance and manage costs
- Improve reliability and monitor solutions
- Debug issues in the Azure portal
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