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Duration 14 hours
Course Outline
Fundamentals of the WrenAI API
- Overview of key API features and functional capabilities
- Essentials of authentication and security protocols
- Navigating and exploring the API documentation
Data Interaction and SQL Generation
- Processing natural language queries via the API
- Validating and interpreting generated SQL statements
- Refining SQL outputs for optimal performance
Application Development Using the API
- Linking backend services to WrenAI infrastructure
- Constructing data-driven service endpoints
- Implementing robust error handling and logging mechanisms
Visualisation and Charting via API
- Retrieving chart objects through API requests
- Embedding dynamic charts within internal applications
- Customising chart aesthetics and user interactions
Integration with Internal Tooling
- Embedding dashboards within team portals
- Automating business workflows using WrenAI endpoints
- Applying use cases for operations and reporting teams
Advanced Usage and Scalability
- Executing batch queries and bulk data operations
- Managing concurrency and respecting rate limits
- Scaling integrations across enterprise environments
Security and Governance
- Oversight of API keys and permission structures
- Ensuring audit logging and compliance adherence
- Adopting best practices for secure system integrations
Future Roadmap and Extensions
- AI-driven enhancements in query generation
- Expanding application capabilities with advanced endpoints
- Anticipating upcoming WrenAI features
Wrap-up and Next Steps
Requirements
- A solid grasp of RESTful APIs
- Hands-on experience with SQL databases
- Proficiency in backend programming languages
Target Audience
- Backend Engineers
- Platform Engineers
- Internal Tools Teams