Description
The Data Engineering Bootcamp: Zero to Mastery will introduce you to data engineering from the ground up. It will enable you to build real-time systems using Apache Kafka and Flink, implement data lakes on AWS, develop machine learning workflows with Spark, and integrate large language models (LLMs) into production-ready systems. The course is designed to kick-start your career as a forward-thinking data engineer. Data engineering has quickly become one of the most in-demand and fastest-growing careers in IT. The field is experiencing significant growth (25% to 50% year-over-year) as businesses across industries strengthen their data infrastructure to support AI, data analytics, and real-time applications. Last year alone, more than 20,000 new data engineering jobs were created, bringing the total job openings in North America to nearly 150,000; This is a clear sign of serious growth in this industry.
The earning potential for data engineers is equally impressive. Professionals in the U.S. earn an average base salary of $80,000 to $110,000 for entry-level roles, which can rise to $190,000 to $200,000 or more for senior positions. Data engineering plays a strategic role in modern technology; data engineers are the backbone of AI systems, machine learning models, and data analytics platforms, making them critical to modern product development and continuous innovation. This means that as the AI industry explodes, data engineering will grow in tandem. This has led to a significant talent shortage in the field, which in turn has led to higher salaries and greater flexibility in remote work. Compared to data science, data engineering is a less saturated yet faster-growing field, offering the potential for long-term career growth and job security.
What you will learn
- Learn the real skills and tools used by data engineers and you will be in the top 10% in this field.
- You build data stream processing systems with Apache Kafka and Apache Flink.
- You create scalable, cloud-based data lakes on AWS using S3, EMR, and Athena.
- You develop distributed processing jobs with Apache Spark and coordinate workflows with Apache Airflow.
- You’ll prepare your skills for the future by learning how to integrate AI and machine learning, including using Spark ML and Large Language Models (LLM).
- You build real, production-ready projects and pipelines using popular open source software.
This course is suitable for people who:
- They are looking for comprehensive and efficient learning of data engineering from zero to one hundred.
- They intend to work with real tools used in the industry.
- They want to build real-time and scalable data systems.
- Interested in integrating artificial intelligence and machine learning into data workflows.
- Want to start or advance in a high-demand, high-income potential career in the technology field.
- They are looking for a supportive environment to learn and exchange ideas with other students and professionals.
- They want to learn from an industry expert who has hands-on experience at large companies like Amazon and Stripe.
Course Details The Data Engineering Bootcamp: Zero to Mastery
- Publisher : ZerotoMastery
- Teacher : Ivan Mushketyk
- Language: English
- Level : All Levels
- Lectures : 183
- Duration : 16 hours and 46 minutes
Course headings on 2026/6
Course images
Sample course video
Installation Guide
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Subtitles: None
Quality: 1080p
Changes:
Version 2025/10 has increased the duration by 1 hour compared to 2025/7.
Version 2025/12 compared to 2025/10 has decreased by 12 lessons and 37 minutes in duration.
Version 2026/2 compared to 2025/12 has increased by 30 lessons and 3 hours and 23 minutes in duration.
Download link
Downloadly
Rapidgator
File(s) password: www.downloadly.ir
File size
3.50 GB
