Building with the WrenAI API: Applications, Charts, and NL to SQL Training Course

Foundations of the WrenAI API

• Comprehensive overview of API features and core capabilities
• Essentials of authentication and security protocols
• Navigating and exploring the API documentation

Data Handling and SQL Generation

• Submitting natural language queries for processing
• Analyzing, interpreting, and validating the generated SQL
• Refining SQL outputs to optimize performance

Application Development via the API

• Establishing connections between backend services and WrenAI
• Constructing data-driven endpoints
• Implementing effective error handling and logging mechanisms

Charting and Visualization Through the API

• Requesting and retrieving chart objects via API endpoints
• Integrating charts into internal application interfaces
• Customizing visual appearance and user interactions

Integration with Internal Tooling

• Embedding dashboards within team portals
• Automating workflows using WrenAI endpoints
• Applying solutions to operations and reporting team use cases

Advanced Applications and Scaling

• Executing batch queries and processing bulk data
• Managing concurrency and adhering to rate limits
• Scaling integrations for enterprise-level environments

Security and Governance Practices

• Administration of API keys and user permissions
• Maintaining audit logs and addressing compliance requirements
• Adopting best practices for secure integration strategies

Future Roadmap and Extensibility

• Enhancing query generation with AI-assisted capabilities
• Expanding application functionality with advanced endpoints
• Reviewing upcoming features in the WrenAI roadmap

Conclusion and Recommended Next Steps