Power BI Fundamentals - Create visualizations and dashboards from scratch
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Overview
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Explore the comprehensive AI capabilities available for Azure Managed PostgreSQL in this 25-minute technical tutorial. Learn how to leverage AI features both for interacting with PostgreSQL databases and utilizing built-in AI functionality within the managed service itself. Discover the PostgreSQL VSCode extension and navigate the server dashboard's AI help features while exploring schema visualization tools. Master GitHub Copilot integration for database development and understand the various AI extensions available for PostgreSQL. Dive deep into embeddings and vectors, including practical implementation with Azure AI Foundry integration. Follow step-by-step demonstrations of creating embeddings, building DiskANN indexes, and performing semantic searches on your data. Learn to use AI for content generation and implement semantic reranking techniques to improve search results. Explore advanced features like information extraction and comprehensive Foundry integration patterns. Gain hands-on experience with the PostgreSQL MCP Server demo and understand how to effectively combine traditional database operations with modern AI capabilities for enhanced data processing and retrieval workflows.
Syllabus
- Introduction
- AI and PostgreSQL
- PostgreSQL VSCode extension
- Server dashboard and AI help
- Schema visualization
- GitHub Copilot interaction
- AI extensions for PostgreSQL
- Embeddings and vectors
- Integration with Foundry
- Creating embeddings
- Creating the DiskANN index
- Performing a semantic search
- Using AI to generate content
- Semantic reranking
- Is true
- Extracting information
- Foundry integration
- Summary
- Close
Taught by
John Savill's Technical Training