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Duration 14 hours
Course Outline
Fundamentals of the WrenAI API
- Overview of key API features and capabilities
- Essentials of authentication and security protocols
- Navigating the API documentation effectively
Data Handling and SQL Generation
- Processing natural language queries for data retrieval
- Validating and interpreting generated SQL statements
- Optimizing SQL outputs for enhanced performance
Developing Applications via the API
- Establishing connections between backend services and WrenAI
- Creating data-driven API endpoints
- Implementing robust error handling and logging mechanisms
Visualization and Charting via API
- Requesting chart objects through API calls
- Embedding dynamic charts within internal applications
- Customizing chart aesthetics and user interactions
Integration with Internal Tooling
- Embedding dashboards into 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 issues and rate limiting strategies
- Scaling integrations for enterprise-grade environments
Security and Governance
- Managing API keys and access permissions
- Compliance considerations and audit logging practices
- Best practices for maintaining secure integrations
Future Roadmap and Extensions
- Leveraging AI-assisted improvements in query generation
- Expanding application functionality with advanced endpoints
- Previewing upcoming features in the WrenAI ecosystem
Wrap-Up and Recommended Next Steps
Requirements
- Solid understanding of RESTful APIs
- Practical experience working with SQL databases
- Proficiency in backend programming languages
Target Audience
- Backend Engineers
- Platform Engineers
- Internal Tools Teams
