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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.

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