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Duration 14 hours
Course Outline
Introduction to the WrenAI API
- Key features and core capabilities overview
- Foundations of authentication and security
- Navigating the official API documentation
Data Interaction and SQL Generation
- Submitting queries in natural language
- Reviewing and validating the generated SQL code
- Refining SQL outputs for optimal performance
Developing Applications via the API
- Linking backend services with WrenAI
- Constructing endpoints driven by data
- Implementing robust error handling and logging strategies
Visualization and Charting via the API
- Fetching chart objects through API requests
- Embedding interactive charts within internal applications
- Tailoring chart aesthetics and user interactions
Integration with Internal Ecosystems
- Incorporating dashboards into team portals
- Streamlining workflows using WrenAI endpoints
- Practical use cases for operations and reporting teams
Advanced Implementation and Scalability
- Managing batch queries and high-volume data processing
- Addressing concurrency issues and rate limiting
- Scaling integrations for enterprise-grade environments
Security and Governance
- Overseeing API key management and permission scopes
- Managing audit logs and regulatory compliance
- Adopting best practices for secure API integration
Future Directions and Expansion
- Enhancing query generation with AI assistance
- Extending application functionality with advanced endpoints
- Previewing upcoming features in the WrenAI roadmap
Recap and Path Forward
Requirements
- Fundamental understanding of RESTful APIs
- Practical experience working with SQL databases
- Proficiency in backend programming languages
Target Audience
- Backend Engineers
- Platform Engineers
- Teams developing internal tools
