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Duration 14 hours
Course Outline
Introduction to the WrenAI API
- Reviewing API features and core capabilities
- Foundations of authentication and security
- Navigating the API documentation
Data Management and SQL Generation
- Submitting natural language queries
- Analyzing and verifying generated SQL
- Refining SQL outputs for optimal performance
Application Development with the API
- Linking backend services to WrenAI
- Constructing data-centric endpoints
- Implementing error handling and logging mechanisms
Visualization and Charting via API
- Fetching chart objects through API requests
- Embedding visualizations within internal applications
- Tailoring chart aesthetics and user interactions
Integration with Internal Tooling
- Embedding dashboards into team portals
- Streamlining workflows using WrenAI endpoints
- Practical applications for operations and reporting teams
Advanced Usage and Scalability
- Executing batch queries and bulk data processing
- Managing concurrency and adhering to rate limits
- Scaling integrations for enterprise-scale environments
Security and Governance
- Overseeing API keys and access permissions
- Monitoring audit logs and compliance requirements
- Adopting best practices for secure integration
Future Roadmap and Extensions
- Enhancing query generation with AI assistance
- Expanding application capabilities with advanced endpoints
- Anticipating upcoming WrenAI features
Wrap-up and Recommended Next Steps
Requirements
- A solid grasp of REST APIs
- Hands-on experience with SQL databases
- Proficiency in backend programming languages
Target Audience
- Backend engineers
- Platform engineers
- Internal tools development teams
