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Duration 14 hours
Course Outline
Introduction to the WrenAI API
- Overview of key API features and capabilities
- Fundamentals of authentication and security
- Navigating the API documentation
Data Interaction and SQL Generation
- Submitting natural language queries
- Reviewing and validating generated SQL
- Refining SQL outputs for optimal performance
Application Development using the API
- Linking backend services to WrenAI
- Creating data-driven endpoints
- Implementing error handling and logging mechanisms
Visualization and Charting via API
- Fetching chart objects through API requests
- Incorporating charts into internal applications
- Tailoring chart appearance and user interactions
Integrating with Internal Tools
- Embedding dashboards within team portals
- Streamlining workflows using WrenAI endpoints
- Applying use cases for operations and reporting teams
Advanced Usage and Scalability
- Managing batch queries and bulk data processing
- Addressing concurrency and rate limit challenges
- Scaling integrations for enterprise-level environments
Security and Governance
- Overseeing API keys and permission management
- Considerations for audit logging and compliance
- Best practices for secure system integrations
Future Roadmap and Extensions
- AI-driven enhancements in query generation
- Expanding application capabilities with advanced endpoints
- Anticipating upcoming WrenAI features
Summary and Next Steps
Requirements
- Familiarity with REST APIs
- Hands-on experience with SQL databases
- Proficiency in backend programming languages
Target Audience
- Backend engineers
- Platform engineers
- Teams dedicated to internal tooling