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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
- Navigating and exploring API documentation
Data Handling and SQL Generation
- Submitting natural language queries
- Interpreting and validating generated SQL
- Optimizing SQL outputs for better performance
Application Development with the API
- Linking backend services to WrenAI
- Constructing data-driven endpoints
- Implementing effective error handling and logging
Charting and Visualization via API
- Requesting chart objects through API calls
- Embedding charts within internal applications
- Customizing chart aesthetics and user interactions
Integration with Internal Tooling
- Embedding dashboards in team portals
- Automating workflows using WrenAI endpoints
- Practical use cases for operations and reporting teams
Advanced Usage and Scalability
- Managing batch queries and bulk data processing
- Addressing concurrency and rate limiting issues
- Scaling integrations for enterprise-level environments
Security and Governance
- Managing API keys and access permissions
- Audit logging and compliance requirements
- Best practices for secure system integrations
Future Roadmap and Extensions
- AI-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 with backend programming languages
Target Audience
- Backend engineers
- Platform engineers
- Teams developing internal tools
