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Course Outline
Introduction to the WrenAI API
- Overview of API features and capabilities.
- Basics of authentication and security.
- Navigating the API documentation.
Working with Data and SQL Generation
- Sending natural language queries.
- Interpreting and validating generated SQL.
- Optimizing SQL outputs for performance.
Building Applications with the API
- Connecting backend services to WrenAI.
- Developing data-driven endpoints.
- Implementing error handling and logging.
Charting and Visualization via API
- Requesting chart objects through the API.
- Embedding charts into internal applications.
- Customizing chart appearance and interactions.
Integration with Internal Tools
- Embedding dashboards into team portals.
- Automating workflows using WrenAI endpoints.
- Exploring use cases for operations and reporting teams.
Advanced Usage and Scaling
- Handling batch queries and bulk data processing.
- Managing concurrency and rate limits.
- Scaling integrations within enterprise environments.
Security and Governance
- Managing API keys and permissions.
- Audit logging and compliance considerations.
- Best practices for secure integrations.
Future Roadmap and Extensions
- AI-assisted enhancements in query generation.
- Extending applications with advanced endpoints.
- Exploring upcoming features of WrenAI.
Summary and Next Steps
Requirements
- Understanding of REST APIs.
- Experience with SQL databases.
- Familiarity with backend programming languages.
Audience
- Backend engineers.
- Platform engineers.
- Teams responsible for internal tools.
14 Hours
