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Duration 14 hours
Course Outline
Introduction to the WrenAI API
- Review of core API features and capabilities
- Fundamentals of authentication and security
- Navigating the API documentation
Data Management and SQL Generation
- Submitting natural language queries
- Analyzing and verifying generated SQL
- Refining SQL outputs for optimal performance
Application Development via API
- Linking backend services with WrenAI
- Constructing data-driven endpoints
- Implementing error handling and logging strategies
Visualization and Charting through the API
- Retrieving chart objects via API requests
- Integrating charts into internal applications
- Personalizing chart aesthetics and user interactions
Integration with Internal Tools
- Embedding dashboards within team portals
- Streamlining workflows using WrenAI endpoints
- Applying solutions for operations and reporting teams
Advanced Usage and Scalability
- Executing batch queries and bulk data processing
- Managing concurrency and respecting rate limits
- Scaling integrations within enterprise environments
Security and Governance
- Administering API keys and access permissions
- Reviewing audit logs and compliance requirements
- Adopting best practices for secure integrations
Future Roadmap and Extensions
- AI-enhanced advancements in query generation
- Expanding application capabilities with advanced endpoints
- Anticipating upcoming WrenAI features
Conclusion and Next Steps
Requirements
- Fundamental understanding of REST APIs
- Practical experience with SQL databases
- Proficiency in backend programming languages
Target Audience
- Backend Engineers
- Platform Engineers
- Internal Tools Teams
