This learning path explores how the Azure AI and Azure Machine Learning Services integrations provided by the Azure AI extension for Azure Database for PostgreSQL – Flexible Server can enable you to build AI-powered apps.
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Course Outline
1. Get started with generative AI in Azure Database for PostgreSQL
• Understand generative AI language models
• Describe the Azure AI extension
• Explore the Azure OpenAI schema
• Review the Azure Cognitive schema
• Explore semantic operators
• Examine the Azure Machine Learning schema
2. Enable semantic search in Azure Database for PostgreSQL
• Understand semantic search
• Store vectors in Azure Database for PostgreSQL
• Create embeddings with the Azure AI extension
• Explore semantic search use cases
3. Integrate AI Services to enrich your applications with intelligent features in Azure Database for PostgreSQL
• Summarize data with Azure AI Services and Azure Database for PostgreSQL
• Perform sentiment analysis and opinion mining in Azure Database for PostgreSQL
• Extract insights using Azure Language and Azure Database for PostgreSQL
• Translate text with Azure Translator and Azure Database for PostgreSQL
• Use Azure Machine Learning for inference from Azure Database for PostgreSQL
4. Build RAG applications with Azure Database for PostgreSQL
• Understand RAG pattern with Azure Database for PostgreSQL
• Explore information retrieval challenges – scale and accuracy
• Enhance scale with vector indexes
• Build RAG Applications with Azure Database for PostgreSQL and Python
• Improve accuracy with advanced RAG architectures
• Explore GraphRAG with Azure Database for PostgreSQL
5. Implement generative AI agents with Azure Database for PostgreSQL
• Understand AI agents with Azure Database for PostgreSQL
• Apply information retrieval for agents
• Evaluate agentic frameworks for integration with PostgreSQL
• Implement AI agents with Foundry Agent Service
• Integrate AI agents with MCP and PostgreSQL
6. Develop PostgreSQL solutions in Visual Studio Code with the PostgreSQL extension and GitHub Copilot
• Understand how the PostgreSQL extension supports SQL development
• Understand how GitHub Copilot integrates with the PostgreSQL extension
• Use GitHub Copilot to generate, refine, and troubleshoot SQL queries
Course Details
• Experience working with PostgreSQL databases.
• Experience writing SQL queries.
• A general understanding of AI and ML concepts.
As a candidate for this credential, you should have experience writing SQL queries and Python. You should also be familiar with general AI concepts and RAG frameworks.
For online (live) format
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