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Duration 14 hours
Course Outline
Introduction to the WrenAI API
- Overview of core API features and capabilities
- Fundamentals of authentication and security
- Navigating the API documentation
Data Interaction and SQL Generation
- Submitting queries via natural language
- Reviewing and validating generated SQL
- Enhancing SQL output for optimal performance
Application Development Using the API
- Linking backend services to WrenAI
- Constructing data-driven endpoints
- Implementing error handling and logging strategies
Visualization and Charting through the API
- Retrieving chart objects via API requests
- Embedding charts within internal applications
- Tailoring chart aesthetics and interactive elements
Integration with Internal Toolsets
- Embedding dashboards within team portals
- Automating workflows utilizing WrenAI endpoints
- Practical applications for operations and reporting teams
Advanced Utilization and Scalability
- Executing batch queries and bulk data processing
- Managing concurrency and adhering to rate limits
- Scaling integrations for enterprise-grade environments
Security and Governance
- Oversight of API keys and permission management
- Audit logging and compliance requirements
- Best practices for secure integration development
Future Development and Extensions
- AI-enhanced advancements in query generation
- Expanding application capabilities with advanced endpoints
- Previewing upcoming features in WrenAI
Concluding Summary and Recommended Next Steps
Requirements
- A solid grasp of REST APIs
- Hands-on experience with SQL databases
- Proficiency with backend programming languages
Target Audience
- Backend Engineers
- Platform Engineers
- Internal Tooling Teams
