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Duration 14 hours
Course Outline
Introduction to the WrenAI API
- Overview of API features and core capabilities
- Foundations of authentication and security
- Navigating the API documentation
Data Interaction and SQL Generation
- Submitting natural language queries
- Reviewing and validating generated SQL
- Refining SQL outputs for optimal performance
Application Development using the API
- Linking backend services to WrenAI
- Developing data-driven endpoints
- Implementing error handling and logging mechanisms
Visualization and Charting via API
- Retrieving chart objects through API requests
- Integrating charts into internal applications
- Customizing visual elements and user interactions
Integrating with Internal Toolsets
- Embedding dashboards within team portals
- Streamlining workflows using WrenAI endpoints
- Practical use cases for operations and reporting teams
Advanced Implementation and Scalability
- Executing batch queries and bulk data processing
- Managing concurrency and rate limits
- Scaling integrations for enterprise-level environments
Security and Governance Frameworks
- Overseeing API keys and access permissions
- Addressing audit logging and compliance requirements
- Adopting best practices for secure integrations
Future Roadmap and Extensions
- AI-enhanced advancements in query generation
- Expanding applications through advanced endpoints
- Previewing upcoming WrenAI features
Recap and Future Pathways
Requirements
- Working knowledge of REST APIs
- Hands-on experience with SQL databases
- Proficiency in backend programming languages
Target Audience
- Backend Engineers
- Platform Engineers
- Internal Tools Teams
