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Course Outline
Introduction to the WrenAI API
- Overview of API features and capabilities
- Basics of authentication and security
- Navigating the API documentation
Working with Data and SQL Generation
- Submitting natural language queries
- Interpreting and validating generated SQL
- Optimizing SQL outputs for performance
Developing Applications with the API
- Linking backend services to WrenAI
- Constructing data-driven endpoints
- Implementing error handling and logging
Charting and Visualization via API
- Retrieving chart objects through the API
- Embedding charts within internal applications
- Customizing chart appearance and interactions
Integration with Internal Tools
- Embedding dashboards into team portals
- Automating workflows using WrenAI endpoints
- Use cases for operations and reporting teams
Advanced Usage and Scaling
- Batch queries and bulk data processing
- Managing concurrency and rate limits
- Scaling integrations in enterprise environments
Security and Governance
- Managing API keys and permissions
- Audit logging and compliance considerations
- Best practices for secure integrations
Future Roadmap and Extensions
- AI-assisted improvements in query generation
- Extending applications with advanced endpoints
- Exploring upcoming WrenAI features
Summary and Next Steps
Requirements
- Understanding of REST APIs
- Experience working with SQL databases
- Familiarity with backend programming languages
Target Audience
- Backend engineers
- Platform engineers
- Teams responsible for internal tools
14 Hours
