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.

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 Data Analysts

A 10-Week Roadmap to Build Production-Ready Engineering Skills

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  • Move beyond SQL and dashboards into real data engineering
  • Build, automate, and optimize end-to-end data workflows
  • Master Python and design ETL pipelines on AWS
  • Transform and model data using Snowflake and dbt
  • Orchestrate workflows with Airflow and integrate cloud platforms

Data Engineering for Beginners

Start from Zero and Build Production-Ready Skills in 11 Weeks

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  • Build a strong foundation in modern data engineering
  • Design scalable data platforms and pipelines
  • Develop practical skills in Python and SQL
  • Master dimensional modeling for Snowflake adn ELT with dbt
  • Build and orchestrate your first end-to-end ETL pipeline

Data Engineering for Data Scientists

A Practical 14-Week Path to Production-Grade Machine Learning

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  • Move beyond notebooks and build production-ready ML systems
  • Design, deploy, and automate scalable ML workflows
  • Containerize models using Docker and orchestrate with Airflow
  • Process large-scale data with Spark and streaming architectures
  • Monitor and maintain models in production using Elasticsearch

Data Engineering for Software Developers

Design and Deploy Modern Data Architectures in 12 Structured Weeks

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  • Design and understand modern data platform architectures
  • Build and manage batch and real-time data pipelines
  • Apply SQL, Python, and dimensional modeling effectively
  • Deploy and automate ETL and streaming workflows in the cloud
  • Process large-scale distributed workflows with Spark and Databricks

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: 14.75h
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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
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3. Fundamental Tools

Gain hands-on experience with the core tools of modern data engineering. From ingestion and message queues to orchestration and processing frameworks, you’ll understand how real-world data systems work together.

Video Time Available: 15.75h
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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: 32h
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5. Spotlight: AI Engineering Track

Learn how modern AI systems work, from embeddings and semantic search to local RAG agents running 100% on your machine. Build real tools and understand every component along the way. AI for Data Engineers who ship.

Video Time Available: 3.5h
View courses in this section ▾

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
  • 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:
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      How We Teach

      Over 70 Hours of Video Lessons

      Access 70+ hours of practical, beginner-friendly video lessons without sitting through hundreds of hours of theory. We focus on what actually matters: clear explanations, guided environment setup, real-world code, and hands-on demos you can follow step by step. You learn the fundamentals, apply them immediately, and build real skills efficiently.

      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.

      Office Hours & Discord

      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

      Coming Soon

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

      March

      Free Lab: Spark Declarative Pipelines & Lakeflow Designer on Databricks

      In this course, you’ll learn how to build declarative Spark pipelines on Databricks using Delta Lake, Unity Catalog, and Lakeflow Designer. You’ll implement a full medallion architecture (Bronze, Silver, Gold), orchestrate and schedule pipelines, and extend them with streaming use cases. By the end, you’ll know how to design and run production-style batch and streaming pipelines in Databricks.

      April

      Build a Local Slack Agent That Responds Using a Self-Hosted LLM

      In this hands-on project, you’ll build a fully local AI agent that listens for questions in Slack and replies in real-time using a local LLM like Mistral running via Ollama. No cloud APIs, no server, just a clean Python setup that shows how agents can hook into real chat tools.

      May

      Connect Your Slack Agent to an MCP Server That Uses RAG with a Qdrant Knowledge Base

      In this project, you’ll extend your Slack agent by connecting it to an MCP (Model Context Protocol) server. The server retrieves relevant context from a Qdrant knowledge base (prebuilt from a real course transcript) and sends a fully constructed RAG prompt to a local LLM. This separation of logic introduces clean, scalable architecture patterns.

      Have a Question?

      If you have any questions about the Academy, please feel free to send me an email to hello@learndataengineering.com
      Or let's have a chat on Telegram:

      Data Engineering Academy in Numbers

      What our students say

      Testimonials Slider

      The coaching is very beneficial

      "The coaching is very beneficial because it helps you think more clearly about architecture and how to properly design a data solution or platform. It also teaches you how to connect different tools and components effectively. I would recommend it to anyone who wants to deepen their knowledge in data engineering and improve their overall thinking and design skills."

      - Dan K.

      High value coaching

      "There are clear guidelines, lots of learning materials and opportunities to get feedback on the project. Also the pace is self determined. Despite that, its a steep learning curve and one must put in a lot of effort to get a good final plattform. The coaching team is always able to help out and point to the right direction if things become unclear."

      - David S.

      6-figure data engineering kickstart

      "I had 10 years of software engineering experience but wanted to pivot into data engineering. The field seems so broad and there are so many tools, I had a hard time finding what I need to know and how to put it all together. Also in these difficult times, I wanted to continue to work as an external consultant which is quite challenging, when you're just starting in the field. By coincidence, I stumbled upon Learn Data Engineering and it was one of the best investments of my life. I had 2-3 coaching sessions each week, full access to all existing and new courses, and a customized roadmap where I built a real-world project. A few months later, I have not only learned a lot, but I also got my first two big clients in the field and will make 6-figures a year. The coaching sessions alone are worth the investment and everything else is just such a valuable bonus. I genuinely believe that everyone should consider the coaching if they want to get into data engineering."

      - Manuel D.

      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

      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?

      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. If you're coming from a different field, don't worry. Our basic section includes a Python introduction course 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 join 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 hello@learndataengineering.com 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.