Data Engineering Courses

Azure Databricks and Spark SQL (Python)

Master Azure Databricks with PySpark in this hands-on course designed to teach you advanced data engineering and analytics using the Databricks Lakehouse Platform. From Spark SQL to Delta Live Tables, you’ll work through practical exercises, code-alongs, and real-world projects—using services like Azure Data Lake Gen2, Azure DevOps, and Databricks Repos. With detailed notebooks and lifetime access, this course equips you with the skills to manage, transform and analyse large-scale data with confidence.

Who is the course for?

  • Data engineers, data scientists, and analysts who want to learn or advance their skills with PySpark and Databricks

  • Professionals working in Azure cloud environments, especially those using Databricks Lakehouse Architecture

  • Anyone seeking hands-on experience with notebooks, dashboards, and production-grade Spark SQL pipelines

What do students say?

  • Comprehensive and industry-relevant – Covers everything from Spark SQL and Delta Live Tables to CI/CD, Databricks CLI, and Medallion architecture, making it a go-to course for anyone wanting real-world Databricks skills in the Azure ecosystem.

  • Clear, engaging, and practical teaching – Learners consistently highlight the instructor’s calm, structured, and easy-to-follow delivery style, paired with hands-on demos and challenge sections that bridge theory and application.

  • Ideal for beginners and professionals alike – Whether you’re starting from scratch or looking to deepen your expertise, this course offers a well-paced, detailed learning experience that’s helped many succeed in interviews, projects, and day-to-day roles.

Microsoft Fabric: The Ultimate Guide (with Projects)

Master Microsoft Fabric—the all-in-one data platform that brings together data warehousing, engineering, analytics, and real-time intelligence. In this hands-on course, you’ll learn how to design and manage robust data pipelines, build semantic models, create interactive dashboards in Power BI, and orchestrate workflows using Data Factory and Spark. With multi-tool projects and real-world scenarios, you'll gain practical experience and the confidence to lead data initiatives in any organisation.

Note: It is a pre-requisite for this course to have access to either your company’s Azure account or your own personal Azure account that has been created at least 90 days ago.

Who is the course for?

  • Data Engineers, Analysts, and BI professionals seeking end-to-end expertise in Microsoft Fabric

  • Professionals aiming to build data solutions across data warehousing, transformation, modelling, and visualisation

  • Learners preparing for the DP-600 certification

  • Anyone with access to an Azure account who wants to gain practical, job-ready skills in one of the most in-demand platforms in modern data architecture

What do students say?

  • Clear, structured, and beginner-friendly – This course walks learners through Microsoft Fabric step by step, with well-paced instruction, practical projects, and a strong focus on building real-world understanding from the ground up.

  • Covers key Fabric components with hands-on practice – From data warehousing to pipelines and real-time analytics, the course offers a comprehensive overview of the Fabric ecosystem, reinforced through thoughtful examples and guided exercises.

  • Highly rated teaching and presentation style – Learners consistently praise the clarity, pacing, and depth of explanation, calling it one of the best Microsoft Fabric courses available online. Ideal for both newcomers and experienced professionals looking to fill knowledge gaps.

Azure Data Factory | Data Engineering on Azure and Fabric

Master Azure Data Factory and Microsoft Fabric to build modern, cloud-based data integration solutions. This hands-on course covers everything from storage and pipelines to DevOps automation and access control. Learn how to orchestrate and transform data at scale using Azure Data Lake, Azure SQL, and the full suite of Data Factory tools—on both Azure and Fabric. Perfect for those preparing for the DP-203 or DP-600 certifications.

Who is the course for?

  • Aspiring and practising data engineers working with cloud-based data platforms

  • Anyone seeking hands-on experience with Azure Data Factory, Microsoft Fabric, and related services such as Azure Blob Storage, Data Lake Gen2, and SQL

  • Those interested in learning about CI/CD practices using Azure DevOps within the context of data engineering workflows

What do students say?

  • Clear, practical, and hands-on – Learners value the well-structured lessons, detailed walkthroughs, and real-world examples that make it easy to follow along and apply concepts directly in Azure Data Factory and the broader data ecosystem (Data Lakes, Warehouses, and more).

  • Ideal for beginners and professionals alike – The course provides a strong foundation for those new to Azure while also delivering industry-relevant insights, making it useful for upskilling, refreshing knowledge, or preparing for certifications.

  • Exceptional teaching with industry focus – Praised for its clarity, pacing, and depth, this course consistently ranks among the best ADF courses thanks to its focus on practical use cases, clean explanations, and a calm, engaging teaching style.

CI/CD with Databricks Asset Bundles (DAB)

Learn how to productionise your Databricks workflows using Databricks Asset Bundles—the official framework for managing your workspace as code. This hands-on course teaches you how to package notebooks, jobs, clusters, and configurations into versioned bundles, integrate testing, and build CI/CD pipelines for automated, multi-environment deployment. By the end, you’ll have a fully automated deployment system for your Databricks environment.

Who is the course for?

  • Data Engineers and Analytics Engineers looking to automate Databricks workflows

  • Platform Engineers or DevOps practitioners supporting data platforms

  • Python developers building and deploying production ETL or ML pipelines on Databricks

  • Anyone managing Databricks environments who wants to reduce manual deployment work, eliminate configuration drift, and adopt best-practice CI/CD processes using GitHub Actions or Azure Pipelines

dbt on Databricks

Learn to build scalable, modular, and version-controlled data transformation pipelines using dbt (data build tool) on Databricks. This practical course combines the power of Apache Spark with dbt’s framework for testable, maintainable SQL workflows. You’ll work with both dbt Cloud and dbt Core, gaining flexible, production-ready skills for real-world data projects on Databricks.

Who is the course for?

  • Data Engineers, Analysts, and Data Architects looking to level up their transformation workflows

  • Professionals already familiar with SQL, who want to adopt a more structured, test-driven approach to data modelling

  • Those working in Databricks environments who want to implement version control, modular data pipelines, and robust testing

  • Learners with a basic understanding of Git, Python, and cloud data platforms

What do students say?

  • Clear, concise, and easy to follow – The course breaks down dbt concepts with simple, to-the-point instruction that helps learners quickly grasp data modelling, transformation, and configuration.

  • Hands-on and well-structured – Learners appreciate the smooth delivery, practical examples, and thoughtful repetition that reinforces key ideas and builds foundational knowledge effectively.

  • Trusted by data professionals – Whether you're new to dbt or brushing up your skills, this course is highly recommended for its clarity, structure, and real-world relevance—backed by consistently positive reviews.