Building with the WrenAI API: Applications, Charts, and NL to SQL Training Course
The WrenAI API serves as a robust interface for transforming natural language into SQL queries, developing custom applications, and embedding charts within internal platforms.
This instructor-led, live training (available online or on-site) is designed for intermediate-level engineers seeking to leverage the WrenAI API for practical use cases, including SQL generation, data visualization, and application integration.
Upon completion of this training, participants will be able to:
- Authenticate and establish connections between applications and the WrenAI API.
- Generate SQL queries from natural language inputs.
- Create and embed charts using specific API endpoints.
- Integrate WrenAI into backend systems and internal tooling.
Course Format
- Interactive lectures and discussions.
- Hands-on exercises involving API calls and integrations.
- Practical projects that connect applications, charts, and data pipelines.
Customization Options
- To request a customized training session for this course, please contact us to arrange details.
Course Outline
Introduction to the WrenAI API
- Overview of API features and capabilities
- Authentication and security fundamentals
- Exploring 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
- Building data-driven endpoints
- Error handling and logging
Charting and Visualization via API
- Requesting chart objects through the API
- Embedding charts in internal applications
- Customizing chart appearance and interactions
Integration with Internal Tools
- Embedding dashboards in team portals
- Automating workflows with WrenAI endpoints
- Use cases for operations and reporting teams
Advanced Usage and Scaling
- Batch queries and bulk data processing
- Handling concurrency and rate limits
- Scaling integrations in 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 improvements in query generation
- Extending applications with advanced endpoints
- Exploring upcoming WrenAI features
Summary and Next Steps
Requirements
- Understanding of REST APIs
- Experience with SQL databases
- Familiarity with backend programming languages
Audience
- Backend engineers
- Platform engineers
- Internal tools teams
Open Training Courses require 5+ participants.
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