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Duration 14 hours
Course Outline
Introduction to the WrenAI API
- Overview of API features and core capabilities
- Fundamentals of authentication and security
- Navigating the API documentation
Working with Data and SQL Generation
- Submitting natural language queries
- Interpreting and validating the generated SQL
- Optimizing SQL outputs for enhanced performance
Building Applications with the API
- Connecting backend services to WrenAI
- Developing data-driven endpoints
- Implementing error handling and logging
Charting and Visualization via API
- Requesting chart objects through the API
- Embedding charts within internal applications
- Customizing chart aesthetics and user interactions
Integration with Internal Tools
- Integrating dashboards into team portals
- Automating workflows using WrenAI endpoints
- Real-world use cases for operations and reporting teams
Advanced Usage and Scaling
- Executing batch queries and processing bulk data
- Managing concurrency and adhering to rate limits
- Scaling integrations for enterprise environments
Security and Governance
- Managing API keys and access permissions
- Audit logging and compliance considerations
- Best practices for secure integrations
Future Roadmap and Extensions
- AI-assisted advancements in query generation
- Expanding applications with advanced endpoints
- Exploring upcoming WrenAI features
Summary and Next Steps
Requirements
- A solid understanding of REST APIs
- Practical experience with SQL databases
- Familiarity with backend programming languages
Target Audience
- Backend engineers
- Platform engineers
- Teams responsible for internal tools
