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Duration 14 hours
Course Outline
Introduction to the WrenAI API
- Overview of core API features and capabilities
- Fundamentals of authentication and security protocols
- Navigating and exploring the API documentation
Managing Data and SQL Generation
- Submitting queries via natural language inputs
- Interpreting and validating the generated SQL code
- Optimizing SQL outputs for enhanced performance
Developing Applications Using the API
- Linking backend services to WrenAI
- Creating dynamic, data-driven endpoints
- Implementing robust error handling and logging mechanisms
Charting and Visualization via API
- Retrieving chart objects through API requests
- Embedding visualizations within internal applications
- Customizing chart aesthetics and user interactions
Integration with Internal Tools
- Embedding dashboards into team portals
- Automating workflows utilizing WrenAI endpoints
- Exploring use cases for operations and reporting teams
Advanced Usage and Scaling Strategies
- Executing batch queries and bulk data processing
- Managing concurrency and adhering to rate limits
- Scaling integrations across enterprise environments
Security and Governance Frameworks
- Administering API keys and access permissions
- Reviewing audit logs and compliance requirements
- Adopting best practices for secure system integrations
Future Roadmap and Extensions
- Incorporating AI-assisted improvements in query generation
- Expanding application capabilities with advanced endpoints
- Previewing upcoming WrenAI features and developments
Summary and Recommended Next Steps
Requirements
- A solid grasp of REST API principles
- Working experience with SQL databases
- Proficiency in backend programming languages
Intended Audience
- Backend engineers
- Platform engineers
- Internal tools development teams
