AI-3019 Build AI apps with Azure Database for PostgreSQL
Price Net € VAT €
Price Price on Request
Duration
1 day
Location
Course Language English
Training Solutions Online Live
Modern AI applications arise where intelligent models and powerful databases interact. The focus is on practical development, stable architecture, and efficient data processing in cloud environments.
Key topics
- Integration of AI applications with Azure Database for PostgreSQL.
- Data modeling and query optimization for AI workloads.
- Use of cloud-native features for scaling and performance.
- Security, governance, and reliable operation of databases.
- Interaction between application logic, data, and AI services.
Prerequisites
Basic knowledge of databases, SQL, and cloud concepts, as well as initial experience with application development and Azure environments.
Target audience
Software developers, data professionals, cloud engineers, and technical roles who want to implement or expand AI-powered applications with relational databases.
The focus is on stable architectures, clean databases, and modern cloud technology as the foundation for scalable AI solutions with long-term relevance.
- Overview of generative AI models
- Features of the Azure AI extension
- Understanding the structure of Azure OpenAI
- Review Azure Cognitive architecture
- Analyze Azure ML structure
- Understanding semantic search
- Saving vectors
- Creating embeddings
- Learn about practical examples
- Explain extraction
- Examine abstraction
- Rate mood
- Record opinions
- Filter out keywords
- Identify units
- Recognize personal data
- Azure AI Translator
- Translate data in PostgreSQL
- Try Azure ML
- Use models in Azure
