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PIPELINE DATA ENGINEERING ACADEMY

LEARN DATA CRAFTSMANSHIP BEYOND THE AI-HYPE

A cohort-based online course where you’ll learn the fundamentals of building
sustainable data infrastructures that power data products, business intelligence
and machine learning systems. We’re also the world's first data engineering
bootcamp, led by industry experts.

Apply now


JOIN OUR NEW PART-TIME COURSE IN 2022!


READ THIS:

 * What did you build at Pipeline Academy? This - READ MORE >>>
   
   Become a better data engineer on a shoestring - READ MORE >>>

 * 10 Reasons Why Aspiring Data Engineers Choose Pipeline Academy - READ MORE
   >>>

 * Meet the Graduates: Michele Tassoni - READ MORE >>>

 * Pipeline Academy on the Data Engineering Podcast Vol.2 - READ MORE >>>


NAVIGATE COMPLEXITY WITH CONFIDENCE

Our unique approach and course structure allow you to understand the hottest new
data management tools and trends, and compare them with timeless practices. Make
mistakes and apply common sense along the way.

Read Our curriculum


IDENTIFY AND CREATE REAL VALUE

No vague promises about AI-magic and no superfluous Kaggle challenges. You’re
going to build reliable data products and learn how to manage their
infrastructure sustainably. You can leave your Jupyter notebook at home.

Read about our approach


BUILD DATA PRODUCTS THAT WORK



Learn how to make decisions through realistic assignments in a constantly
changing data tooling landscape. Train your inner compass to be ready for
whatever challenge the future brings. Your career will thank you.

Read about the experience


COLLABORATE TO SUCCEED TOGETHER



Solving a data-related problem requires an open mind, active communication and
empathy. Ask critical questions and make the right points. Learn with and from
your peers and connect with world-class guest speakers.

Check out our FAQ


WHAT OUR STUDENTS SAY

I’ve chosen Pipeline Academy because I wanted to learn how to bring data
products to life - from end to end. After my graduation I am totally able to
apply for Data Engineering or similar positions. I know about the tools, have
tried them during the course or at least know how to learn or replace the
„fast-fashion“ ones amongst them.

Lisa-Marie Krause, Pipeline Academy Graduate

The three months of the bootcamp were the most shaping and career boosting
experience I've had so far. The approach Peter and Daniel take might draw some
questions at first, as it's not concentrated on constant programming exercises
where you learn specific solutions to specific problems but instead it goes way
beyond that […].

Tomek Florek, Data Engineer at Plugsurfing

In this course I gained so much more than the knowledge about data architecture.
I learned the generic approach of how to move forward in an unknown technical
field, how to tackle bugs, how to separate good products from confusing ones.

Guoda Paulikaite, Pipeline Academy Graduate

After some Data Engineering classes with Daniel, I decided not use csv files or
data transformations in pandas anymore. The quantity of python boiler plate code
for simple stuff was reduced by 90%.
I feel 10 years younger.

Flávio Clésio, Staff Engineer at Artsy

Daniel & Peter take you from data application development to CI/CD pipelines and
production deployment in the simplest, clearest and fastest fashion. Highly
recommend it to all who want to pursue a data engineering path.

Alexandru Dina-Gargala, Head of Product at expondo GmbH

 I really liked the way of Daniel’s in-depth explanation with so much live
examples and cases that give you an idea of how different problems can be solved
in different scenarios. I learned so much and this definitely gave me the push I
needed to explore new territories of DE. I would highly recommend anyone who
wants to start their career as Data Engineer.

Sonali Nayak, Data Science Engineer at TD Reply

As someone who has taught data science for a while, the most impressive
thing was the simplicity of the stack. It is very easy when teaching to
complicate things for students, or to teach complex tools that confuse more than
help.

Adam Green, Data Engineer at Gridcognition


JOIN A CODING SCHOOL DEFINED BY TRANSPARENCY, SUSTAINABILITY, PRAGMATISM AND
COLLABORATION.


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