Master Dimensional Modeling, Star Schema Design & the Medallion Architecture — with an AI Assistant

Do you want to learn how to design and build a modern data warehouse the way professional data engineers actually do it today?

In this course, you'll learn how to design dimensional models, build star schemas, and implement a complete data warehouse end-to-end — with an AI assistant working alongside you the whole way.

Dimensional modeling and data warehousing are two of the most valuable skills in Business Intelligence and Data Engineering. They sit at the foundation of every analytics platform, every reporting tool, and every data-driven decision a business makes. And they are not going away — even as the tooling evolves, the fundamentals stay the same.

This course takes a modern, practical approach to data warehousing.

Here is why:

• Comprehensive course covering both theory and a complete hands-on project

• Master theory and practice together — concepts, design decisions, and real implementation

• We will design and build a complete data warehouse end-to-end, from business requirements to a working dashboard

• Understand everything step by step, from the absolute basics to advanced design patterns

• Learn how to use an AI assistant as your engineering partner — when it helps, when it doesn't, and how to stay in control of the work

• Practical skills and important theory together — the combination that actually upskills your career

This course will take you all the way to being able to design and implement a data warehouse in a real company, in a professional way, using the same modern workflow that today's data engineers use.

Here is what you'll learn:

• Data Warehouse Basics and architecture

• The Medallion Architecture — Bronze, Silver, and Gold layers

• Translating business requirements into a data model

• The Bus Matrix — the bridge between business and engineering

• Dimensional Modeling: Facts and Dimensions

• Designing Star Schemas the professional way

• Slowly Changing Dimensions — Type 1, Type 2, and when to use each

• Source-to-Target Mapping documents — the contract between design and build

• Building a complete data warehouse hands-on

• Working with multiple source systems and consolidating them cleanly

• Data quality and governance fundamentals

• AI agents in data engineering — what they are and how they fit

• Using an AI assistant to accelerate design, SQL writing, and documentation

• Building a dashboard to answer real business questions

By the end of this course, you will be able to design and build a complete data warehouse from the ground up. You will have the knowledge, the practical skills, and the confidence to implement a modern data warehouse professionally — and to work with an AI assistant the way modern data engineers actually do.

Everything you need to grow into a strong data engineer, data architect, analytics engineer, or Business Intelligence professional.