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Reviews 4,5
AI-3019 Build AI apps with Azure Database for PostgreSQL
Those who want to build AI applications – not just design them – need a solid data foundation. Azure Database for PostgreSQL provides the cloud infrastructure required, integrating directly into modern AI workflows.
Key topics
- Connecting AI services to Azure Database for PostgreSQL and cloud-native integration.
- Data modelling and query optimisation specifically for AI workloads.
- Scalability and performance through cloud-native platform capabilities.
- Security, governance and reliable operation of database infrastructures.
- Orchestrating application logic, data and AI services within a unified architecture.
Prerequisite
Knowledge of SQL and relational databases is helpful. Some experience with Azure services and application development is recommended.
Target group
Data professionals, cloud developers, backend engineers and technical specialists who want to build or extend AI-powered applications on relational databases.
You will learn how stable data architecture and modern AI services work together – and how to run both productively, securely and at scale in cloud environments.
course content
AI features and extensions in PostgreSQL
- Explore the overview of generative AI models.
- Discover and use Azure AI extensions for PostgreSQL.
- Understand the architecture and structure of Azure OpenAI.
- Analyse Azure Cognitive Services in PostgreSQL contexts.
- Examine Azure ML integration in database workflows.
Semantic search with vectors in Azure PostgreSQL
- Understand the concept of semantic search and how it works.
- Store and manage vector data in PostgreSQL.
- Create embeddings and incorporate them into search queries.
- Apply practical examples of vector-based search.
Integrating Azure AI services into PostgreSQL workflows
- Explain and apply text extraction from database entries.
- Examine abstraction layers between AI services and the database layer.
Sentiment analysis and opinion mining with Azure
- Evaluate and classify sentiment from text data.
- Capture opinions and nuances from structured data.
Key data analysis with Azure AI and PostgreSQL
- Filter relevant key phrases from data.
- Identify entities and units within text.
- Recognise personally identifiable information (PII) in data.
Multilingual support with Azure Translator and PostgreSQL
- Configure Azure AI Translator and integrate it into workflows.
- Automatically translate and linguistically process database entries.
Machine learning inferencing with Azure ML in PostgreSQL
- Use and test Azure ML for database tasks.
- Apply trained ML models directly in PostgreSQL queries.
