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Duration 14 hours
Course Outline
Introduction to the WrenAI API
- Overview of API functionalities and capabilities
- Basics of authentication and security
- Navigating API documentation
Data Manipulation and SQL Generation
- Submitting natural language queries
- Interpreting and verifying generated SQL
- Optimizing SQL output for enhanced performance
Developing Applications via the API
- Linking backend services with WrenAI
- Creating data-driven endpoints
- Implementing error handling and logging
Visualization and Charting via API
- Requesting chart objects through API endpoints
- Embedding charts within internal applications
- Customizing chart aesthetics and interactive features
Integration with Internal Tooling
- Embedding dashboards in team portals
- Automating workflows using WrenAI endpoints
- Application scenarios for operations and reporting teams
Advanced Usage and Scalability
- Batch processing and bulk data handling
- Managing concurrency and rate limits
- Scaling integrations in enterprise settings
Security and Governance
- Administering API keys and access permissions
- Audit logging and compliance requirements
- Best practices for secure integration
Future Roadmap and Extensions
- AI-enhanced advancements in query generation
- Expanding applications with advanced endpoints
- Exploring forthcoming WrenAI features
Summary and Next Steps
Requirements
- Knowledge of REST APIs
- Proficiency with SQL databases
- Experience with backend programming languages
Target Audience
- Backend engineers
- Platform engineers
- Internal tools teams
