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Duration 14 hours
Course Outline
Introduction to the WrenAI API
- Exploration of core API features and capabilities
- Fundamentals of authentication and security
- Navigating the official API documentation
Data Handling and SQL Generation
- Submitting natural language queries for processing
- Analyzing and validating the resulting SQL code
- Refining SQL outputs to enhance performance
Developing Applications with the API
- Linking backend services to the WrenAI platform
- Constructing data-driven service endpoints
- Implementing robust error handling and logging mechanisms
Visualization and Charting via API
- Retrieving chart objects through API requests
- Embedding dynamic charts within internal applications
- Customizing visual styles and user interactions
Integration with Internal Toolsets
- Incorporating dashboards into team collaboration portals
- Streamlining workflows using WrenAI endpoints
- Applying use cases for operations and reporting departments
Advanced Usage and Scalability
- Executing batch queries and processing bulk data
- Managing concurrent requests and rate limiting
- Scaling integrations across enterprise-grade environments
Security and Governance
- Oversight of API keys and access permissions
- Implementing audit logs and adhering to compliance standards
- Adopting best practices for secure system integration
Future Roadmap and Extensions
- Leveraging AI-assisted enhancements in query creation
- Expanding application functionality with advanced endpoints
- Reviewing upcoming features in the WrenAI ecosystem
Summary 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 teams