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Duration 14 hours
Course Outline
Introduction to the WrenAI API
- Overview of API functionalities and features
- Basics of authentication and security
- Navigating the API documentation
Data Handling and SQL Generation
- Submitting natural language queries
- Interpreting and verifying generated SQL
- Refining SQL outputs for optimal performance
Developing Applications with the API
- Linking backend services to WrenAI
- Constructing data-driven endpoints
- Managing error handling and logging
Charting and Visualization via API
- Requesting chart objects through the API
- Embedding charts within internal applications
- Customizing chart styles and user interactions
Integrating with Internal Tools
- Incorporating dashboards into team portals
- Automating workflows using WrenAI endpoints
- Practical applications for operations and reporting teams
Advanced Usage and Scalability
- Executing batch queries and bulk data processing
- Managing concurrency and rate limits
- Scaling integrations for enterprise environments
Security and Governance
- Administering API keys and permissions
- Considerations for audit logging and compliance
- Best practices for secure integration
Future Roadmap and Extensions
- AI-enhanced advancements in query generation
- Expanding applications with advanced endpoints
- Previewing upcoming WrenAI features
Recap and Next Steps
Requirements
- A solid grasp of REST APIs
- Proficiency with SQL databases
- Knowledge of backend programming languages
Target Audience
- Backend engineers
- Platform engineers
- Internal tools teams
