[Download] The Data Engineering Bootcamp: Zero to Mastery zerotomastery.io

This course teaches you how to build streaming pipelines using Apache Kafka and Flink, create data lakes on AWS, run ML workflows on Spark, and integrate large language models (LLM) into production systems. It aims to jumpstart your career and prepare you to become a sought-after data engineer of tomorrow.

Why is Data Engineering a Growing Profession in IT?

Data Engineering is rapidly becoming one of the fastest-growing and most in-demand careers in technology. With the rise of AI products, analytical systems, and real-time applications, companies are actively expanding their data infrastructures, leading to an increased demand for specialists. Last year alone, over 20,000 new data engineering jobs were created, with nearly 150,000 open positions in North America, highlighting explosive industry growth. Salaries are impressive as well, ranging from $80,000 to $110,000 for entry-level positions and up to $200,000+ for mid-senior roles. Data engineers play a crucial role in building the foundations for machine learning, analytics, and AI systems, making this an excellent opportunity for long-term career and financial stability.

Why This Bootcamp?

The bootcamp is designed to be comprehensive and practical, focusing on hands-on learning rather than outdated theory. You’ll work step-by-step on real projects using the same tools as professionals. Starting with Apache Spark and real Airbnb data, you’ll learn large-scale computing before creating a modern data lake on AWS with S3, EMR, Glue, and Athena. You’ll also learn pipeline orchestration with Apache Airflow, build streaming systems using Kafka and Flink, and integrate machine learning and LLM into your pipelines, gaining essential end-to-end production-level skills that employers seek.

Course Outline:

  • Introduction to Data Engineering
  • Big Data Processing with Apache Spark
  • Building Data Lakes on AWS
  • Pipeline Management with Apache Airflow
  • Machine Learning with Spark MLlib
  • Integrating AI and LLMs in Data Engineering
  • Streaming Processing with Apache Kafka and Flink

Outcome

After completing the course, you’ll gain the skills to build systems that companies need today, ready to work as a data engineer. Thousands of our graduates have succeeded at top companies like Google, Tesla, Amazon, and more, many starting from scratch. Why not be the next success story?