Building with the WrenAI API: Applications, Charts, and NL to SQL Training Course
The WrenAI API offers a robust interface for converting natural language into SQL queries, developing bespoke applications, and embedding data visualizations into internal platforms.
This instructor-led, live training session (available online or on-site) targets intermediate-level engineers seeking to leverage the WrenAI API for practical implementations, such as SQL generation, data visualization, and application integration.
Upon completion of this training, participants will be capable of:
- Authenticating and linking applications to the WrenAI API.
- Generating SQL queries from natural language inputs.
- Creating and embedding charts via API endpoints.
- Integrating WrenAI into backend systems and internal tools.
Course Format
- Interactive lectures and discussions.
- Hands-on exercises involving API calls and integrations.
- Practical projects that connect applications, visualizations, and data pipelines.
Customization Options
- To request a tailored training session, please contact us to make arrangements.
Course Outline
Introduction to the WrenAI API
- Overview of API features and capabilities
- Basics of authentication and security
- Navigating the API documentation
Working with Data and SQL Generation
- Submitting natural language queries
- Interpreting and validating generated SQL
- Optimizing SQL outputs for performance
Building Applications with the API
- Connecting backend services to WrenAI
- Developing data-driven endpoints
- Implementing error handling and logging
Charting and Visualization via API
- Requesting chart objects through the API
- Embedding charts within internal applications
- Customizing chart appearance and interactions
Integration with Internal Tools
- Embedding dashboards in team portals
- Automating workflows using WrenAI endpoints
- Use cases for operations and reporting teams
Advanced Usage and Scaling
- Handling batch queries and bulk data processing
- Managing 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
- A working knowledge of REST APIs
- Experience with SQL databases
- Familiarity with backend programming languages
Audience
- Backend engineers
- Platform engineers
- Teams focused on internal tools
Open Training Courses require 5+ participants.
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