For All Levels

Our beginner-friendly courses range from foundational lessons to comprehensive, real-world projects.

On-Demand Access

Learn at your own pace with 24/7 on-demand access to cutting-edge content.

Up-to-Date Content

Enjoy fresh, monthly releases and continuously updated content to stay ahead in the field.

Everything you need in one place:


1. Data Engineering Basics

Start your Data Engineering journey with essential concepts and practical skills. Learn Data Engineering basics, computer science, Python, data preparation, Docker, and job application strategies.

Video Time Available: 14.25h

  • 1.1Introduction to Data Engineering
  • 1.2Computer Science Fundamentals
  • 1.3Introduction to Python
  • 1.4Python for Data Engineers
  • 1.5Data Preparation & Cleaning for Machine Learning
  • 1.6Docker Fundamentals
  • 1.7Successful Job Application Guide
  • 1.8SQL for Data Engineering
  • 1.9Becoming a better Data Engineer
2. Platform & Pipeline Design Fundamentals

Develop hands-on skills with essential Data Engineering tools, covering the entire workflow from data ingestion and message queues to orchestration, processing frameworks, and visualization techniques.

Video Time Available: 9.75h

  • 2.1Platform & Pipeline Design (NEW: Part 2 now available!)
  • 2.2Platform Security
  • 2.3Choosing Data Stores
  • 2.4Data Modeling 1
  • 2.5Data Modeling 2 Relational Data Modeling
  • 2.6Data Modeling 3 Dimensional Data Modeling
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3. Fundamental Tools

Module three contains hands-on trainings on fundamental tools. From data ingestion, message queues, processing frameworks to visualization.

Video Time Available: 13.75h

  • 3.1API Fundamentals with FastAPI
  • 3.2Apache Airflow Workflow Orchestration
  • 3.3Apache Spark Fundamentals
  • 3.4Data Engineering on Databricks
  • 3.5Apache Kafka Fundamentals
  • 3.6MongoDB Document Store Fundamentals
  • 3.7Log Analysis With Elasticsearch
  • 3.8Snowflake for Data Engineers
  • 3.9dbt for Data Engineers
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4. Example projects

Apply your knowledge through hands-on projects on major cloud platforms and your own computer. Gain practical experience with real-world scenarios and industry-relevant tools.

Video Time Available: 27.25h

  • 4.1Streaming with Kafka, Spark & MongoDB
  • 4.2Data Engineering on AWS
  • 4.3Data Engineering on Azure
  • 4.4Data Engineering on GCP
  • 4.5Modern Data Warehouses & Data Lakes
  • 4.6Machine Learning & Containerization on AWS
  • 4.7Storing & Visualizing Time Series Data
  • 4.8Contact tracing with Elasticsearch
  • 4.9Data Engineering on Hadoop
  • 4.10Dockerized ETL With AWS, TDengine & Grafana
  • 4.11Azure Data Pipelines with Terraform (NEW: Part 3 now available!)
  • 4.12GenAI Platform with RAG (coming soon)

What you can achieve in the next 3 months:

In 1 Month: Master Data Engineering Fundamentals

After one month, you'll understand the exact role of a Data Engineer, have solid computer science fundamentals, enhanced Python coding skills, and proficiency in Docker. Additionally, you'll gain theoretical knowledge on designing data platforms and pipelines, choosing the right data store, and schema design. This foundation will equip you to tackle hands-on projects confidently.

After one month, you'll understand the Data Engineer's role, have solid computer science fundamentals, enhanced Python skills, and Docker proficiency. You'll also learn to design data platforms and pipelines, choose the right data store, and perform data modeling, preparing you for hands-on projects.

In 3 Months: Do Data Engineering on the Cloud

Gain extensive AWS experience by building your own stream and batch processing platform, including deploying containerized apps like ML algorithms on AWS. You'll master tools like API Gateway, Kinesis, Lambda, AWS Glue, S3, DynamoDB, Redshift, CloudWatch, RDS, and Elastic Container Registry and Service.

We also offer extensive projects on GCP and Azure, as well as lakehouses, giving you a comprehensive understanding of different cloud environments and data management strategies.

Gain AWS experience by building stream and batch processing platforms, and deploying containerized apps. Master tools like API Gateway, Kinesis, Lambda, S3, DynamoDB, Redshift, and more. Additionally, explore projects on GCP, Azure, and lakehouses for a broad understanding of cloud environments.

Or in 3 Months: Build an Open Source Platform

After 3 months, you'll have built an impressive open-source platform using tools like FastAPI, Apache Kafka, Apache Spark streaming, MongoDB, and Streamlit, without needing a cloud subscription. You can also expand your knowledge by orchestrating pipelines with Airflow, processing time series data with InfluxDB, monitoring pipelines with Elasticsearch, and developing a contact tracing app with Elasticsearch. This comprehensive skill set prepares you for a successful career in Data Engineering.

After 3 months, you'll have built an open-source platform with tools like FastAPI, Kafka, Spark, MongoDB, and Streamlit. You can also learn pipeline orchestration with Airflow, time series processing with InfluxDB, and monitoring with Elasticsearch. This prepares you for a successful Data Engineering career.

Fully Customizable Schedule

Your schedule is fully customizable. With either annual or unlimited access, you have sufficient time to get familiar with Data Warehousing on AWS, GCP, Databricks, and Hadoop. Within 3 to 4 weeks, you can gain the knowledge to work with AWS Athena and Quicksight, GCP BigQuery and Datastudio, or build ETL pipelines and lakehouses with Databricks, Snowflake and dbt. In just 2 weeks, you will learn the basics of Azure and build solutions with API Management, EventHub, Function Apps, CosmosDB, and PowerBI.

Customize your schedule with annual or unlimited access. Learn Data Warehousing on AWS, GCP, Databricks, Snowflake, dbt, and Hadoop. In 3-4 weeks, gain skills in AWS Athena and Quicksight, GCP BigQuery and Datastudio, or build ETL pipelines on Databricks and Snowflake.

Choose From Our Expert-Crafted Roadmaps:

Our Academy allows you to tailor your educational journey. Customize your path by selecting the roadmap that matches your professional background and goals.
This way, you can focus on what matters most to you and advance at your own pace.

(While roadmaps provide a structured guide, you’re not limited to their content.
Under "All Courses", you can explore our 30+ courses and projects in the Academy that align with your interests.)

Data Engineering for Beginners & Graduates
- 11-Week Roadmap

Build a strong foundation in data engineering by learning data platform and pipeline design, working with Python and SQL, and mastering dimensional data modeling for data warehousing with Snowflake. Gain hands-on experience with ELT using dbt and workflow orchestration with Airflow, then apply your skills by building your first ETL pipeline on the cloud to prepare for a career in data engineering.

Learn SQL, Python, and data modeling, then build your first cloud ETL pipeline with Snowflake, dbt, and Airflow to kickstart your data engineering career.

Data Engineering for Data Analysts
- 10-Week Roadmap

Go beyond SQL and dashboards! Learn how to build, automate, and optimize data workflows like a data engineer. This roadmap is designed for analysts who want to master Python, create ETL pipelines on AWS, and transform data with Snowflake and dbt. You'll gain hands-on experience in cloud data engineering, automation with Airflow, and connecting data platforms seamlessly. With these skills, you'll work more efficiently, solve data challenges, and boost your career opportunities.

Take your data analytics skills to the next level by learning how to process, transform, and automate data workflows. This roadmap will teach you Python, cloud ETL pipelines, Snowflake, dbt, and Airflow so you can work more efficiently and unlock new career opportunities.

Data Engineering for Data Scientists
- 14-Week Roadmap

Take your machine learning skills beyond notebooks and learn how to build, deploy, and automate machine learning workflows at scale. This roadmap will teach you how to create ML pipelines on AWS, containerize models with Docker, and orchestrate workflows with Airflow. You’ll also work with big data processing using Spark, real-time streaming, and lakehouse architectures to handle large datasets efficiently. Plus, you'll gain expertise in monitoring ML logs with Elasticsearch, ensuring your models run smoothly in production.

Go beyond notebooks and deploy ML workflows at scale. Learn to build pipelines on AWS, containerize models, automate with Airflow, and process big data with Spark. Gain skills in real-time streaming, lakehouse architectures, and ML log monitoring to make your models production-ready.

Data Engineering for Software Developers
- 12-Week Roadmap

Leverage your coding expertise to build scalable data solutions. Develop a strong understanding of data platform architecture, including how batch and real-time data pipelines are designed and managed. Strengthen your SQL and Python skills to efficiently work with data, and learn both relational and dimensional modeling for optimized data storage and analytics. Gain hands-on experience by building, deploying, and automating data workflows in the cloud with ETL pipelines, stream processing, and workflow orchestration. Finally, dive into big data processing with Apache Spark and Databricks, preparing you to handle large-scale distributed workloads like a professional data engineer.

Use your coding experience to master data pipelines, cloud platforms, and big data processing. Learn SQL, Python, Apache Spark, and Databricks to build scalable batch and streaming pipelines.

How We Teach:

Over 55 Hours of Video Lessons

Access over 55 hours of beginner-friendly, pre-recorded video lessons in English, designed to make learning Data Engineering straightforward and practical. Each lesson features clear presentations, easy-to-follow setup guides, detailed code explanations, and hands-on demos you can replicate. Each topic begins with foundational theory, moves into guided environment setup, and then dives into practical applications with advanced features and projects to deepen your understanding.

We offer over 55 hours of pre-recorded video lessons, including presentations, easy-to-follow setup guides, code explanations, and hands-on demos. Each topic starts with theory, followed by setup and hands-on practice, ending with advanced features and projects.

Comprehensive Course Library

Our Academy offers everything you need to excel in Data Engineering - and more. Dive into a comprehensive library covering all major cloud platforms like AWS, Azure, GCP, and Snowflake alongside essential open-source technologies and tools such as Apache Airflow, dbt, and Spark. Follow our carefully designed and constantly growing roadmaps to build a strong foundation step by step. Plus, explore our advanced content and tailor your learning journey to your interests and career goals. With access to this all-encompassing resource, you're fully equipped to master the skills that matter most.

Explore everything you need for Data Engineering success: major cloud platforms like AWS, Azure, and GCP, key open-source tools, and step-by-step learning plans. Follow our roadmaps or dive into topics you love - your journey, your way.

Source Codes & Easy Setup

All hands-on lessons come with prepared source codes, accessible via our Academy GitHub repository. These resources are perfect for beginners and career switchers, allowing you to follow along easily, expand on the examples, or reuse the code as templates for your own projects. For topics requiring tool installation, we simplify the process by using Docker images whenever possible. This reduces technical hurdles, helping you focus on building practical Data Engineering skills without unnecessary setup challenges.

We provide prepared source codes for all hands-on lessons via our Academy GitHub. Use the example code to follow along, expand it, or reuse it as a template. For local tool installations, we use Docker images to minimize setup issues, allowing you to focus on learning without hassle.

Individual Help Channels

Supporting your learning journey is our priority. Whether you're a beginner exploring Data Engineering for the first time or transitioning from another role, we've got you covered. If you have questions about course topics or run into issues during hands-on lessons, help is just a message away. Use our dedicated Discord channels for project-specific discussions or our general channel for quick support. Connect with other students through our vibrant community, where you can find assistance, collaborate, and share experiences—even when our team isn’t online.

Your support is our priority. Use Discord channels for project questions or quick help. Chat with students via our voice channel. Our active student community is always ready to assist.

Plus Free Mentoring!

24/7 Access to Discord: Connect with Andreas & hundreds of other students on our private Academy channels for answers to all your questions.

Live Office Hours: Benefit from direct feedback and guidance during monthly live office hours.
Engage with other students and participate in community discussions.

Everything You Need:

Explore all 30+ courses and projects the Academy has to offer and see in detail how each one can help you grow

Get Access to the Academy Today!
All These Benefits Included:
  • Comprehensive step-by-step Data Engineering Academy
  • Unlimited access to all current and future courses during your subscription
  • New content every month
  • 30+ Data Engineering courses and hands-on projects
  • Apache Spark & Kafka Bootcamp
  • Associate Data Engineer Certification
  • Individual course certificates
  • Regular live office hours
  • Personal support via our private Discord server
  • 14-day full money-back guarantee

Group Discounts: Interested in signing up with your team?
Ask about our group discounts here.

      Your personal price:
      $685.44

      $261.80

      Money back guarantee if you don't like it.


      NEW: Pay in Euros:
      Join for 12 months: Click Here
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      Have a Question?

      If you have any questions about the Academy, please feel free to send us an email. We're happy to help!

      Coming Soon

      Here's what we are currently working on and what will be in the Academy soon:


      GenAI Platform with RAG (July)

      We're building an exciting new hands-on example project for you. Here you'll learn how to build a Generative AI Platform with Retrieval Augmented Generation (RAG) with Elasticsearch and Docker, Mistral.

      Semantic Search Data Observability Tool (August)

      Semantic search is the cornerstone of many AI systems. With this project you'll learn how to ingest, store, query and visualize the right log messages. Some tools you'll use are: FastAPI, Docker, Qdrant, DuckDB, Streamlit and more

      Data Engineering Academy in Numbers

      What our students say

      Testimonials Slider

      Andreas is a fantastic instructor

      "I am using the platform for quite a while since i got lifetime upgrade. The platform is very good, detailed course for everything and tool with regular updates and addition to the library."

      - Dipin

      "the suggested curriculum, the fact of using containers, github and the projects at the end of the course is much more attractive than many courses I have already tried to take."

      - Sandra Malaquias

      Amazing for Data Engineering

      "Really well organized all the content. Andreas give you an experimented opinion about the topics, something I really like. All the chapters have their explanation and hands-on part, I'm happy with the academy"

      - Emiliano Domínguez

      Comprehensive Data Engineering training

      "I went through the coaching program from Andreas Kretz and thoroughly enjoyed the sessions. Both beginners and experienced folks can take the course and gain value out of it. Data Academy videos were mostly hand on to develop a variety of skills including database design, data warehousing, data modeling, and data pipeline development. Follow Andreas on various channels to gain insights on what's happening on the Data Engineering world."

      - Ram Srikanthan

      All you need on one platform

      "I really like how all is structured on one platform. You don't have to scrape through 1000 YouTube videos. Here you find everything you need to become a data engineer."

      - David Reger

      The best course in the industry

      "The best course in the industry. I am blown away by the quality of the contant. The trainers are the best who got enormous amount of knowledge and expertise. I requested them for help which they immediately offered."

      - Hari Imada

      Andreas is a fantastic instructor

      "Andreas is a fantastic instructor. I am grateful for the incredibly well-structured data engineering course he has provided. The most beneficial aspect for me was the inclusion of hands-on projects; these allowed me to practically apply the concepts and theories I learned throughout the course."

      - Gustavo Lema

      Best course to learn Data Engineering

      "We can find a lot of content about Data Engineer on the internet, but we can't find it like in the Learn Data Engineering Academy. I always wanted to learn Data Engineering but was looking for something that can guide me well and nothing can bit this Academy course structure. Everything is well structured and well explained here. The best part is you get to do lots of hand-on with relevant courses, and Andreas is always direct and very practical. It really guided me in my professional life."

      - Kanvi Gandhi

      The premier Data Engineering starter program

      "Andreas has created groundbreaking content in the Data Engineering Academy, as well as other content that contribute to the Data Engineering profession. The courses on this platform, as well as the YouTube videos and other content has helped me gain a strong sense of direction, as well as the confidence required to start a career in Data Engineering. Simply taking the courses helped me pivot from core Data Science into Data Engineering within the space of 7 months. I have, and will keep recommending learndataengineering.com and the Data Engineering Academy to anyone and everyone who is interested in starting a Data Engineering career."

      - Ovu Okpubuluku

      Trustpilot



      Common Questions Answered

      Why join Learn Data Engineering?

      Unlike platforms like Udemy or Coursera, we offer a holistic learning experience with personal support. You'll gain a comprehensive understanding of Data Engineering, not just individual tools. Our team provides help whenever you need it. Plus, our content is continually updated with new topics, videos, and worksheets added every month by Andreas and our expert trainers. This ensures you always have access to the latest knowledge and techniques in the field.
      Moreover, it's significantly cheaper than a typical 6-week bootcamp and offers long-term support to ensure your continued success.

      Is Learn Data Engineering right for me?

      Our Academy is perfect if you're interested in the core infrastructure of Data Science. We've helped over 2,000 students, including Data Scientists, Data Analysts, Database Administrators, Software Developers, and graduates aspiring to become Data Engineers or looking to apply these skills in their future careers. Whether you're just starting or looking to advance your career, our comprehensive and supportive learning environment is designed to meet your needs.

      How long do I have to complete the training?

      The content of the Academy is entirely on-demand, allowing you to progress at your own pace. You can start whenever you want, and there are no deadlines to finish. You have as much time as you need to complete your training.

      What prior knowledge should I have for Learning Data Engineering?

      Ideally, you should be able to program in Python and have basic knowledge of SQL. As a Data Engineer, coding and using SQL to interact with databases are essential skills. However, if you're coming from a different field, don't worry. Our basic section includes courses and links to free external resources to help you gain the necessary knowledge.

      Can I earn certificates?

      Yes, you can earn certificates for all individual topics covered in the Academy. Additionally, we offer an Associate Data Engineer certification to demonstrate that you are job-ready.

      Do students need to create their own cloud accounts and will this incur additional costs?

      Yes, you need to create your own accounts on cloud platforms. Most major platforms offer free credits or tiers; please check their websites for details, as conditions may change. Our training is designed to utilize these free tiers and credits, minimizing extra costs.

      One exception is the AWS training, where not all services are available in the free tier. The expected charge is usually below $10/month. We show you how to set alarm thresholds at the start of the AWS training to notify you if you exceed your limits.

      Do I get an invoice after the payment?

      Yes, once you subscribe to the Academy, you will receive an invoice via email. This invoice can typically be used to get reimbursed by your employer if you have a learning budget.

      How does the money back guarantee work?

      We are confident you will be satisfied with the Academy. However, if you are not, please contact us at [email protected] within 14 days of purchase to receive a full refund.

      Is there a free trial available?

      No, sorry there is no trial. We have a huge collection of over 300 videos you can watch for free on YouTube.

      Here's the link: http://bit.ly/YoutubeAndreaskayy

      Or read the data engineering cookbook. It's going to help you a lot learning more about Data Engineering.