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Duration 14 hours
Course Outline
Introduction to the WrenAI API
- Overview of core API features and functional capabilities.
- Fundamentals of authentication and security protocols.
- Navigating and interpreting the official API documentation.
Data Manipulation and SQL Generation
- Submitting natural language queries for processing.
- Analyzing and validating the generated SQL code.
- Refining SQL outputs to enhance performance.
Developing Applications via the API
- Linking backend services with WrenAI.
- Constructing data-driven API endpoints.
- Implementing robust error handling and logging mechanisms.
Visualization and Charting through the API
- Retrieving chart objects using API requests.
- Embedding dynamic charts within internal applications.
- Customizing chart aesthetics and user interactions.
Integrating with Internal Tooling
- Embedding dashboards into team portals and workspaces.
- Automating business workflows using WrenAI endpoints.
- Exploring specific use cases for operations and reporting teams.
Advanced Implementation and Scalability
- Processing batch queries and large-scale data tasks.
- Managing concurrency levels and adhering to rate limits.
- Scaling integrations for enterprise-grade environments.
Security and Governance Frameworks
- Managing API keys and access permissions.
- Considerations for audit logging and regulatory compliance.
- Adopting best practices for secure system integration.
Future Developments and Extensions
- Leveraging AI-assisted enhancements for query generation.
- Expanding application capabilities with advanced endpoints.
- Previewing upcoming features in the WrenAI roadmap.
Conclusion and Recommendations
Requirements
- Proficiency with REST API concepts.
- Hands-on experience with SQL databases.
- Working knowledge of backend programming languages.
Target Audience
- Backend Engineers.
- Platform Engineers.
- Teams focused on internal tooling and development.