Udemy – Data Engineering Bootcamp 2025-9

Updated August 10, 2026 3.7 GB

Download

About this item

Description

Data Engineering Bootcamp. This course is a comprehensive data engineering bootcamp that takes participants from the basics to building and deploying a complete data pipeline in the form of a practical project. In today’s world where data has become the engine of decision-making, data engineering serves as an essential skill for designing systems for collecting, storing, and processing data. The course begins by explaining the differences between the roles of a data engineer and a data analyst and scientist and explains the importance of this field in the data-driven ecosystem. It then examines data architecture, including a comparison of traditional and modern approaches, different storage paradigms, and the differences between ETL and ELT processes, as well as batch and streaming pipelines. The main part of the course is dedicated to a practical project in which the participant takes a step-by-step approach to building a comprehensive data pipeline. These steps include ingesting raw data into a data lake on AWS S3, processing and transforming the dataset for analytical use, organizing and storing the results in various formats, and finally orchestrating and automating workflows using Prefect for scheduling and monitoring. By the end of this course, participants will have a deep understanding of data engineering theory and hands-on, ready-to-work experience designing and implementing cloud-based data pipelines. This bootcamp provides aspiring data engineers, analysts looking to upskill, and those looking to make a career change into this field with a solid foundation and the skills necessary for success.

What you will learn

Understand the core concepts of data engineering.
Applying data architecture principles.
Building cloud-based data pipelines.
Processing and transforming data for analysis.
Workflow orchestration and automation.
Completion of a comprehensive data engineering project.

This course is suitable for people who:

Aspiring data engineers who want to enter the field and learn modern tools and workflows from scratch.
Analysts or data scientists who want to enhance their knowledge of data pipelines, architecture, and cloud data workflows.
Software engineers or IT professionals looking to transition into data engineering roles.
Students and career changers eager to gain hands-on experience with real-world projects in data engineering.