AI for Business Intelligence | Data Development with AI

This comprehensive training pack equips data professionals with the skills to leverage AI for enhanced business intelligence and data development solutions.

Learn how to bridge the gap between data and business needs, understand the data lifecycle within a BI context, and master AI-powered code assistance tools like GitHub Copilot and Google Gemini Code Assist.

Increase your efficiency, improve code quality, and deliver data-driven insights faster with the power of AI. Includes hands-on exercises and real-world examples.

This course covers:

• Data and Business bridging the gap

• Business Intelligence and Data Lifecycle

• What is AI Code assist for Data professionals

• Tooling for Data and Analytics

• Prompt engineering Foundations

• Co-Pilot & Gemini Code Assist usage

• Use Cases for AI in Data Development

  • Requirements

  • Explain

  • Document

  • Build

  • Test

  • Insights and Analysis

  • Diagramming your Solutions

What you will learn :

• Prompt engineering foundations

• Responsible AI practices

• Practical use cases for AI in data development (including requirements gathering, code generation, testing, analysis, and visualization),

• Integration with tools like SQL Server, Visual Studio Code, and Power BI.

Through real-world examples and practical exercises, you'll discover how to:

• Accelerate code completion and reduce debugging time.

• Generate synthetic data for robust testing and development.

• Automate documentation and improve code understanding.

• Translate code between languages (e.g., SAS to SQL, Python).

• Extract valuable insights and formulate business recommendations.

• Develop data warehouse solutions using the Kimball methodology.

• Create impactful Power BI dashboards and reports.

• Design clear and informative diagrams for solution documentation.