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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 Handling and SQL Generation
- Submitting natural language queries
- Analyzing and verifying the generated SQL
- Refining SQL output for optimal performance
Developing Applications via the API
- Linking backend services to WrenAI
- Creating data-driven endpoints
- Implementing robust error handling and logging strategies
Visualization and Charting through the API
- Fetching chart objects via API requests
- Embedding visualizations into internal applications
- Adjusting chart aesthetics and interactive elements
Integration with Internal Tools
- Integrating dashboards into team portals
- Automating workflows utilizing WrenAI endpoints
- Practical use cases for operations and reporting teams
Advanced Usage and Scalability
- Executing batch queries and processing bulk data
- Managing concurrency and respecting rate limits
- Scaling integrations within enterprise environments
Security and Governance
- Administration of API keys and user permissions
- Considerations for audit logs and compliance
- Best practices for maintaining secure integrations
Future Roadmap and Extensions
- AI-assisted enhancements in query generation
- Expanding application capabilities with advanced endpoints
- Overview of upcoming WrenAI features
Summary and Next Steps
Requirements
- A solid grasp of REST APIs
- Practical experience with SQL databases
- Proficiency in common backend programming languages
Target Audience
- Backend engineers
- Platform engineers
- Teams responsible for internal tools
