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4.98/5 - 6,000+ student reviews

Data Science & AI course in Amsterdam

  • ✔️

    Learn with the #1 ranked tech bootcamp

  • ✔️

    Graduate in 2 to 7 months, online or in person

  • ✔️

    Get a data job in 3 months on average

Amsterdam

Our data science alumni are now working at:

IBM Capgemini Getaround BCG Asos Meta

#1

ranked tech bootcamp

29,000+

graduates worldwide

7000+

hiring companies

Le Wagon logo Apply now
Overview

Become a Data
Scientist in weeks

Acquire advanced data skills, master Machine Learning & AI, and launch your career as a Data Scientist, Analyst, AI Engineer, Data Manager, and more.

  • ✔️

    Learn essential data analysis methods and tools

  • ✔️

    Master Machine Learning and Deep Learning

  • ✔️

    Create AI solutions and advanced predictive models

  • ✔️

    Build a solid portfolio and learn to work in a data team

You will master these programming languages and tech tools:

Python Python
SQL SQL
Jupyter Jupyter
Pandas Pandas
Git Git
Docker Docker
Scikit-Learn Scikit-Learn
Hugging Face Hugging Face
OpenAI OpenAI

Apply for the next Data Science & AI bootcamp

Next date

Jul 7, 2025

Availability

Limited seats

See all sessions
Apply now

curriculum

What you’ll learn in Le Wagon’s Data Science & AI bootcamp

Our unique hands-on method teaches you advanced technologies and an innovative approach that will lead to success in any data-driven role — empowering you to work with even the most complex of datasets.


30h

Preparation work

Once you’ve been accepted, you'll receive about 40 hours of online learning resources, carefully curated by Le Wagon to be intuitive and interactive. This prepwork will ensure you have the necessary foundations in programming and maths before the bootcamp starts.

What you will do in practice:

  • 30 hours of online tutorials
  • Utilize curated resources from Le Wagon to gain solid foundations

Software and languages you will learn:

Python Python
Git Git

10h

Understand the fundamentals of Data Science

It’s highly recommended that you join our online pre-bootcamp Python & SQL introduction. During this time, collaboratively engage with your instructors in a live online setting to understand the fundamentals.  A significant portion of the material covered this week will not be covered at this level of detail during the bootcamp, as the expectation is that participants are already familiar with this material. Familiarize yourself with technical terminology, key concepts and the right learning mindset before your first day of the bootcamp.

What you will learn:

  • Understand the fundamentals of Python.
  • Learn core programming concepts like functions, loops, and conditional statements.
  • Learn the basics of SQL.
  • Practice with real coding challenges to build your confidence.

Software and languages you will learn:

Python Python
SQL SQL

80h

Learn Python for data science

Extract data from relational databases, manipulate big data matrix and build visualizations. Understand key maths concepts for data analysis like statistics & linear algebra.

What you will build in practice:

  • A database built by scraping data from online bookstores
  • Advanced analysis of ecommerce data in SQL
  • Visual dashboard connected to stock-market APIs

Software and languages you will learn:

Python Python
SQL SQL
Jupyter Jupyter
Pandas Pandas
Numpy Numpy
Matplotlib Matplotlib
Seaborn Seaborn
BigQuery BigQuery
Plotly Plotly

40h

Put yourself in the shoes of a Data Consultant

Learn how to survive the data preparation phase of a vast dataset. Extract insights by interpreting statistical results based on multivariate regression models, hypothesis testing, and confidence intervals.

What you will do in practice:

  • A 40-hour data consulting challenge, featuring real data from a marketplace
  • Individual presentations of your key findings directly to your client

Software and languages you will learn:

Python Python
Statsmodel Statsmodel

80h

Implement the Machine Learning workflow

Implement the Machine Learning workflow with Scikit-Learn (data preparation, feature engineering, model selection, evaluation, and fine-tuning) and understand maths intuitions and numerical implementations of ML models.

What you will build in practice:

  • Machine Learning models perfectly fine-tuned to your tasks
  • Pipelines combining data processing and model predictions
  • Image compression model by color clustering 
  • Spam detection algorithms
  • Prediction model for house prices

Software and languages you will learn:

Scikit-Learn Scikit-Learn

40h

Dive into Deep Learning

Become proficient in neural network architectures and parameters, constructing networks for image, sequence, and text analysis. Dive into AI by coding a transformer from scratch and developing GenAI applications. Gain practical skills with pre-trained "big models" from cutting-edge open-source research.

What you will build in practice:

  • Dense neural network for fraud transaction detection
  • Transfer learning for image classification
  • Recurrent networks for weather forecasting
  • Recoding a transformer from 0 to perfectly understand all the architecture
  • Fine-tuning your own LLM for your need

Software and languages you will learn:

Tensorflow Tensorflow
Keras Keras
Google Colab Google Colab
Hugging Face Hugging Face

40h

Train your model

Turn your best handcrafted models into a replicable Python package that can be trained on big data in the cloud, using virtual machines and online databases. Monitor your model performance as new data comes in, retrain it when needed, and expose its predictions to the world via APIs or websites.

What you will build in practice:

  • ML model for predicting taxi fares, trained on big data on the cloud
  • Visual web dashboard showing live predictions (on charts, maps, etc.)
  • Trained models in production capable of self-healing

Software and languages you will learn:

Google Compute Google Compute
Cloud storage Cloud storage
BigQuery BigQuery
ML flow ML flow
Docker Docker
FastAPI FastAPI
Prefect Prefect
Streamlit Streamlit

Leverage AI in your projects

Through a series of live lectures, harness the capabilities of Generative AI tools to streamline your coding workflows and explore vital ethical considerations in AI. Gain insights into making complex AI models comprehensible to stakeholders and focus on the implementation of effective CI/CD pipelines.

You will learn to:

  • Enhance your coding efficiency using Generative AI tools 
  • Navigate the AI landscape ethically
  • Make complex AI models understandable using techniques like Shapley Values
  • Implement effective CI/CD pipelines

Software and languages you will use:

ChatGPT ChatGPT
Copilot Copilot
LangChain LangChain

80h

Build you own data science project

The project phase is the ultimate experience of the course. Collaborate efficiently in teams of 3 or 4 on a real data science project. Use either open-data repositories (government initiatives, Kaggle, Paper with Code, etc...) or bring your own private dataset. With full-time mentoring from expert teachers, let your wildest dream come true!

What you will build in practice

  • Make an app with a live demo of model predictions
  • Create an in-depth analysis of a business dataset
  • Replicate latest AI research papers with Big Models!

Start your career in data science!

From the moment you embark on your tech journey, our dedicated career services team is there to provide you with tailored guidance throughout and beyond your training. Connect with our vast network of 1000+ hiring partners, benefit from 1:1 coaching and much more!

  • Elevate your personal branding & get technical interview training
  • Benefit from 1:1 coaching & key alumni Q&A sessions
  • Connect with an extensive network of 1000+ hiring partners
  • Get a lifetime access to Le Wagon content

Data Science & AI info session

Join the next info session

Dive deeper into Data Science & AI with out expert-led info session. Get insights, ask questions, and see how our course can transform your career.

Audience attentively listening to a speaker during a conference, seated in rows.
Learning Schedule

Choose the learning schedule that suits you

Whether you prefer an intensive full-time option or a flexible part-time format, our course are tailored to your needs.

Le Wagon's students learning on campus

Full-time

Ready to dive into tech? Join our intensive course. Monday to Friday, 9am to 6pm.


  • ✔️

    Graduate in 2 months

  • ✔️

    All day peer-to-peer learning

  • ✔️

    40 hours of study in total, per week

Le Wagon's students learning online

Part-time

You want to keep your job or have personal commitments? Learn in your free time.


  • ✔️

    Graduate in 7 months

  • ✔️

    Flexible peer-to-peer learning

  • ✔️

    16 hours of study in total, per week

our method

Boost your skills learning from passionate data science & AI experts

Our experienced teachers will help you quickly learn practical skills and build a strong foundation to begin your data science career.

  • ✔️

    Practice on real-life projects using real data

  • ✔️

    Join a group of like-minded peers to support you

  • ✔️

    Get career coaching to land your dream job

Web development students

Meet our course creators and data science experts

The top tech recruiters choose Le Wagon graduates

  • Bas Lemmens working at Voormedia
    quote
    Le Wagon has given us access to a pool of eager and passionate software engineers. In fact, the good results with previous Le Wagon hires have been part of the reason for us to set up a traineeship that builds on the knowledge acquired within Le Wagon.
    Voormedia

    Bas Lemmens

    Founder - Voormedia

  • Roxanne van den Oudenalder working at Inkubis
    quote
    We are very happy with the Alumni of Le Wagon. We hired two employees recently that make a great difference within our company. They are highly motivated and eager to learn!
    Inkubis

    Roxanne van den Oudenalder

    Head of Talent - Inkubis

  • Estelle Roux-Stevens working at StellarUp
    quote
    We really enjoy working with Le Wagon because they develop driven and skill hungry students. We have hired a few amazing alumni from them over the years... and will continue to do so as we grow our team!
    StellarUp

    Estelle Roux-Stevens

    CEO and Co-Founder - StellarUp

  • Bas Lemmens working at Voormedia
    quote
    Le Wagon has given us access to a pool of eager and passionate software engineers. In fact, the good results with previous Le Wagon hires have been part of the reason for us to set up a traineeship that builds on the knowledge acquired within Le Wagon.
    Voormedia

    Bas Lemmens

    Founder - Voormedia

  • Roxanne van den Oudenalder working at Inkubis
    quote
    We are very happy with the Alumni of Le Wagon. We hired two employees recently that make a great difference within our company. They are highly motivated and eager to learn!
    Inkubis

    Roxanne van den Oudenalder

    Head of Talent - Inkubis

  • Estelle Roux-Stevens working at StellarUp
    quote
    We really enjoy working with Le Wagon because they develop driven and skill hungry students. We have hired a few amazing alumni from them over the years... and will continue to do so as we grow our team!
    StellarUp

    Estelle Roux-Stevens

    CEO and Co-Founder - StellarUp

Want to learn more about our Data Science & AI bootcamp?

✔

Understand the goal of the bootcamp

✔

Get our syllabus week by week

✔

Understand our methodology

Download our Data Science & AI syllabus

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job-ready portfolio

Build a solid portfolio to showcase your skills to tech recruiters

Work on various data science & AI projects, culminating in a live demo of your model to a real audience. Build a portfolio ready for job interviews.

Count'a Manta: Applying AI to marine conservation efforts

Emilio Torres Kalindi Fonda Kamilla Radeczki
Data Science & AI students
April 2023

The way of yoga: An AI yoga trainer

Ju-Hae Kim Michael Daniel Raghda Mahmoud
Data Science & AI students
March 2022

Diversity in Hollywood: Gender & race measurement in the media

Mohamed Abuhalala Luis Costero Sanchez Emma Szonyi Gabriella Otero
Data Science & AI students
December 2021

Surf Buddy AI

Paolo  Piacenti Andrew Wade Francisco Rocheta
Data Science & AI students
September 2024
Career services

Land your dream job
with the support of our career team

Benefit from personalized coaching, attend job fairs and networking events, get prepared for interviews and connect with recruiters.

Discover our career services

7,000+

hiring companies

86%

*

employment rate

100+

countries with alumni presence

*Our reports are based on surveys sent 6 months after training from 3467 respondents and publicly available data. Our last report was updated in December 2024 and captures outcomes of bootcamp graduates that finished bootcamp in Europe or Online from 1st of Oct. 2022 to 30th of Sep. 2023.

What career paths open up to you after this Data Science & AI bootcamp?

After the course, you will be able to apply for different roles and boost your career as a:

What’s the average Data Science & AI salary in Amsterdam?

Salaries in data science can vary depending on your seniority, location or the sector in which you work.
Learn more about the factors that can influence your earnings in our Amsterdam data science salary guide.


 See what our Amsterdam Data Science & AI graduates do now 

A word from our alumni & authors

Upcoming sessions

Join our next session in Amsterdam or online

Learn in person or online, full-time or part-time.
Choose the format that suits you.

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Financing options

Find the right financing options for you

Our advisors help you every step of the way to obtain financing and public funding, with the possibility to get up to 100% of your tuition financed.

See financing options
Admission advisor at Le Wagon

We can help you get financed through different options

  • Student loans
  • Public funding & scholarships
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Admission

How to apply to our Data Science & AI bootcamp

Our data science & ai course is very complete and intense. But don’t worry, if you don’t have the suggested requirements we will help you get there!

1

Suggested requirements

To apply for the data science bootcamp, you should have a solid foundation in programming and mathematics.

But the most important thing is that you are motivated to embark on this new tech adventure.

2

Book an interview with our enrolment advisor

When you apply, we'll get back to you to schedule a 30-minute video interview. We'll talk about your professional project and your motivation.

3

Pass our technical quiz

You will receive a Programming & Mathematics Quiz to help you and the Admissions team better understand your current level.

4

Payment options & prepwork

The last step will consist of finding the most suitable financing option for you. Then, you'll jump into the prepwork which consists of 30h of training.

Caroline Bayle Pierre  Cailliau Sasha Kaverina Maewenn Drean

Book a free call with our advisors

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Discuss your career

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Decide which course is the best for you

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Learn more about your financing options

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Explore our methodology

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