Packt

AI-Driven Data Modeling Using ChatGPT and Copilot

Packt

AI-Driven Data Modeling Using ChatGPT and Copilot

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Gain insight into a topic and learn the fundamentals.
Intermediate level

Recommended experience

2 weeks to complete
at 10 hours a week
Flexible schedule
Learn at your own pace
Gain insight into a topic and learn the fundamentals.
Intermediate level

Recommended experience

2 weeks to complete
at 10 hours a week
Flexible schedule
Learn at your own pace

What you'll learn

  • Build and optimize conceptual, logical, and physical data models for real-world applications.

  • Implement dimensional models, including facts, dimensions, and star schemas in Power BI.

  • Develop ETL pipelines using Apache Hop and manage OLAP/OLTP workflows efficiently.

  • Leverage ChatGPT and GitHub Copilot for schema generation, data quality checks, and documentation.

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Recently updated!

July 2026

Assessments

9 assignments

Taught in English

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There are 9 modules in this course

In this module, we will provide a high-level overview of the course. You will meet the instructor and learn what to expect throughout the course. This section sets the foundation for your journey in AI-driven data modeling.

What's included

3 videos1 reading

In this module, we will explore conceptual, logical, and physical data models. You will learn dimensional modeling, additivity, SCDs, star schema, and normalization. Practical demonstrations in Power BI will illustrate these concepts in action.

What's included

36 videos1 assignment

In this module, we will work on a hands-on case study to implement data models. You will use popular modeling tools to create conceptual, logical, and dimensional models. The exercises reinforce practical skills in real-world data modeling.

What's included

13 videos1 assignment

In this module, we will introduce core concepts of data architecture. You will explore BI, data warehouses, marts, lakes, and lakehouses. The section emphasizes architecture design, roles, and governance for effective analytics.

What's included

19 videos1 assignment

In this module, we will cover ETL/ELT, OLAP/OLTP, and system architecture impact on data models. You will learn batch and real-time processing, orchestration, and performance optimization. The section provides hands-on concepts for efficient data workflows.

What's included

24 videos1 assignment

In this module, we will apply ETL concepts using Apache Hop. You will set up the environment, develop pipelines, and move data into the warehouse. The section prepares you to integrate ETL with Power BI for analysis.

What's included

6 videos1 assignment

In this module, we will apply all course concepts in a capstone project. You will analyze requirements, design models, develop ETL pipelines, and visualize data in Power BI. This section consolidates practical skills for real-world application.

What's included

11 videos1 assignment

In this module, we will integrate AI tools into data modeling tasks. You will leverage ChatGPT and Copilot for brainstorming, documentation, ETL automation, and data validation. The section demonstrates modern AI-driven modeling workflows.

What's included

8 videos1 assignment

In this module, we will wrap up the course and highlight critical takeaways. You will review the learned techniques and explore their application in practical scenarios. This section reinforces knowledge and guides future growth.

What's included

1 video2 assignments

Instructor

Packt - Course Instructors
Packt
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