This course contains the use of artificial intelligence.

Learn Databricks, SQL, PySpark, Delta Lake, Lakehouse Architecture, AI/BI, and Cloud Data Engineering Through Real-World Projects

Want to learn Databricks and build the practical skills needed for modern Data Engineering, Big Data Analytics, and Cloud Data Platforms? This hands-on course takes you from complete beginner to building real-world Databricks Lakehouse solutions using SQL, Python, PySpark, Apache Spark, Delta Lake, and Unity Catalog.

Whether you're an aspiring Data Engineer, Data Analyst, Python Developer, or Cloud Engineer, you'll learn how organizations process, transform, govern, automate, and analyze massive datasets using the Databricks Data Intelligence Platform.

And the best part? You'll start with Databricks Free Edition, making it easy to begin learning without setting up expensive cloud infrastructure.

What You'll Learn

This course goes beyond theory. You'll build practical projects while learning essential Databricks Data Engineering technologies.

• Databricks Fundamentals: Navigate the workspace, create notebooks, manage data, and understand the Databricks ecosystem.

• Lakehouse Architecture: Explore Data Lakes, Data Warehouses, and Medallion Architecture with Bronze, Silver, and Gold layers.

• Databricks SQL: Write queries, perform joins, analyze business data, and create reusable SQL transformations.

• Apache Spark and PySpark: Process large datasets using Spark DataFrames, transformations, aggregations, and distributed computing.

• Delta Lake: Build reliable Delta tables using ACID Transactions, MERGE, Time Travel, and incremental processing.

• Unity Catalog: Understand Data Governance, access controls, metadata management, and data lineage.

• Lakeflow: Build automated ETL Pipelines, schedule workflows, and monitor data processing.

• Lakeflow Designer: Create visual, No-Code Data Pipelines using drag-and-drop transformations.

• Genie Code: Explore AI-Assisted Data Engineering, SQL generation, code debugging, and productivity improvements.

• Databricks AI/BI: Build interactive dashboards and explore Genie Agents for natural-language analytics.

• Machine Learning and AI: Discover MLflow, foundation models, and introductory AI Agents on Databricks.

• AWS and Azure Databricks: Learn introductory cloud deployment concepts and practices.

Learn by Building Real-World Projects

You'll work with a fictional retail company facing realistic challenges involving sales, customers, inventory, and business reporting.

Throughout the course, you'll build SQL Analytics Projects, develop PySpark ETL Pipelines, implement Delta Lake Medallion Architecture, automate workflows with Lakeflow, and create Business Intelligence Dashboards.

Your final End-to-End Databricks Capstone Project brings everything together into a portfolio-ready Retail Intelligence Platform, complete with data ingestion, transformations, governance, analytics, and deployment documentation.

Who Should Take This Course?

This course is designed for Databricks Beginners, aspiring Data Engineers, SQL Developers, Data Analysts, Software Engineers, and professionals exploring Cloud Data Engineering, Data Lakehouse Architecture, and AI-Powered Analytics.

No previous Databricks experience is required. Basic familiarity with Python or SQL is helpful, but beginners are welcome.

Start Building Your Databricks Skills Today

By completing this course, you'll gain practical experience with modern Data Engineering Workflows, understand how enterprise Lakehouse platforms operate, and develop projects you can confidently discuss during technical interviews.

Stop watching disconnected tutorials. Start building real solutions with Databricks Fundamentals 2026!