Data Engineering Bootcamp

Learn Data Engineering basics: data architecture, ETL vs ELT, cloud pipelines, and workflow orchestration

What you'll learn
Understand core data engineering concepts
Apply data architecture principles
Build cloud-based data pipelines
Process and transform data for analytics
Orchestrate and automate workflows
Complete an end-to-end data engineering project

Requirements
No prior data engineering experience required
Basic programming knowledge
Fundamental understanding of data

Description
Data is the new oil—but without the right systems to collect, store, and process it, data quickly becomes unusable. That’s where data engineering comes in. This Data Engineering Bootcamp is designed to take you from foundational concepts to a complete, hands-on project where you’ll build and deploy an end-to-end data pipeline.We’ll start with the basics of data engineering, exploring what it is, how it differs from roles like analysts and scientists, and why it’s such a critical skill in today’s data-driven world. You’ll learn about the data engineering workflow, data roles, and real-world scenarios through interactive quizzes and activities.Next, we’ll dive into data architecture—comparing traditional vs. modern approaches, understanding data storage paradigms, and exploring ETL vs. ELT and batch vs. streaming pipelines. You’ll put your knowledge into practice with worksheets and design exercises that reinforce key concepts.The highlight of the course is the hands-on project, where you’ll:Ingest raw data into an AWS S3 data lakeProcess and transform datasets for analyticsOrganize and store results in multiple formatsOrchestrate workflows with Prefect for automation, scheduling, and monitoringBy the end of this course, you’ll not only understand the theory but also gain practical, job-ready experience in building cloud-based data pipelines. Whether you’re an aspiring data engineer, a data analyst looking to level up, or a career changer entering the data field, this bootcamp will give you the confidence and skills to succeed.

Who this course is for:
Aspiring data engineers who want to break into the field and learn modern tools and workflows from scratch., Data analysts or scientists who want to strengthen 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.