4,98/5 - 6,000+ student reviews

Upgrade your career with our Data Science & AI course

Learn data science with expert-led data science training. Build your own Machine Learning models and dive into Deep Learning.

Learn job-ready, in-demand tech & AI skills with the #1 ranked bootcamp
Flexible learning formats that work around your schedule
Live teaching with industry experts
Multiple financing options available

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For who?

Who is this bootcamp for?

Le Wagon’s Data Science & AI course is designed for those who are already familiar with programming and maths, and wants to specialise in data science, machine learning and AI. For complete beginners, we recommend joining our Data Analytics Bootcamp instead.

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The Analytical Problem-Solver

You have a background in science, finance, or engineering and love solving complex puzzles. This bootcamp will equip you with the end-to-end machine learning workflow, from advanced data wrangling to building and deploying predictive models, preparing you for a career as a Data Scientist or ML Engineer.

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The Data-Driven Strategist

You're a business analyst, data analyst or executive who wants to go beyond descriptive analytics. Learn how to build predictive models to forecast trends, understand customer behaviour, and provide deep, forward-looking insights that drive critical business decisions.

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The AI Model Builder

You want to move from being a user of AI to a builder of it. This program provides the mathematical and programming foundations to create, train, and fine-tune your own machine learning and deep learning models to tackle sophisticated real-world challenges.

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The PhD or Researcher in Transition

You have a strong quantitative and research background and are looking to apply your skills in the tech industry. This bootcamp will bridge the gap by teaching you the practical coding skills and industry best practices needed to transition from academia into a high-impact data science role.

Curriculum

Master Data Science in weeks, not years

Acquire advanced data skills, master Machine Learning & AI to upgrade your career today.

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

SQL

Jupyter

Pandas

Git

Docker

Scikit-Learn

OpenAI

Curriculum

What you’ll learn in this data science & AI bootcamp

Master the skill set of a Data Scientist. Learn to create Machine Learning and AI models, and deploy them into production while working with a team.

30h

Preparation work

Once you’ve been accepted, you'll receive about 30 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

Git

SQL

40h

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

SQL

56h

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

SQL

Jupyter

Pandas

Numpy

Matplotlib

Seaborn

BigQuery

Plotly

32h

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

Statsmodel

88h

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 do 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

LangChain

64h

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 do 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

Hugging Face

ChatGPT

Google Colab

Keras

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 with GPUs
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

BigQuery

ML Flow

Docker

FastAPI

Prefect

Streamlit

Explore additional learning

Alongside your final project, develop core Agile project management skills to structure and deliver technical work effectively. You'll also explore key topics like AI ethics, explainability, and deployment to ensure your solutions are production-ready.

You will learn to:

Managing technical projects using Agile methodologies
Understanding the ethical challenges of working with AI
Discovering techniques for making complex models interpretable
Gaining hands-on knowledge of Continuous Integration and Deployment in machine learning

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 tech!

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!

What you will do in practice:

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

Location

Online or On-campus?

Discover the unique benefits of both Online and On-Campus bootcamps, each designed to complement your lifestyle and learning style.

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Online

Connect and learn in real-time, from anywhere in the world.

Learn from anywhere in the world, in your preferred time zone and language.
Access live online support from our teachers
Partake in interactive peer-to-peer learning with your online classmates
Learn how to collaborate remotely on projects
Become part of an international community of over 31,000 global alumni

on-campus

On-campus

Immerse yourself in the energy of a dynamic classroom setting.

Experience hands-on learning in a dynamic classroom setting
Engage with teachers and peers face-to-face
Build connections and network with local students and professionals
Get hands-on experience with in-person team projects
Connect with the local alumni network for regional insights and opportunities

Choose the learning schedule that suits you

If you're busy and need a flexible schedule or if you want to graduate quicker with an intensive course, you can choose between our full-time and part-time formats:

Full-time: 2 months (40 hours per week)
Part-time: 7 months (16 hours per week, flexible scheduling)

Flexible Financing

Multiple ways to finance your studies — even with 0% interest*

Certain financing methods can be combined. Just mention the financing options you're interested in to our admissions team to get more detailed information!
*processing fees may apply

Apply now to get personalised financing advice

Up to 100% funded

Employer-funded training

Many companies support employee upskilling by covering training costs. We can help you make your case with resources and documentation.

Learn more about how to get your company to pay for your tech training by downloading our free guide.

Advantages of employer-funded training

Combinable with other financing options
Keep your salary while you train
Benefit from flexible learning options to maintain a healthy work balance: learn part-time and/or online
Available for all bootcamps in all countries

0% Interest Financing

Alma — Pay as You Learn (4-6 months)

Pay €2,000 deposit upfront today + 4x or 6x payments.

Advantages of Alma:

0% interest
No hidden fees
Available for legal residents of: France, Belgium, Spain, Germany, Portugal, Italy, The Netherlands, Luxembourg, Ireland & Austria.

Pay only when you get a job

BCAS — Extended Payment Plans

Repayments begin only after the student secures employment with an annual salary exceeding €17,000, calculated as a fixed percentage of the student's monthly income.

Advantages of BCAS:

No risk - pay only if you are earning
No upfront deposit
Currently available in: Spain & Germany

Up to 100% of tuition paid for

CPF: Mon Compte Formation

€500 per year for French workers

Advantages of CPF:

Public funding for immediate discount on your bootcamp
Combinable with other financing methods (Alma, France Travail, Tech & AI Fluency Partial Scholarship, current limited time promotions)
Deadline: apply at least one month before the bootcamp starts to guarantee funding with CPF

24+ Month Low Interest Installments

Lendwise — UK Financing

Spread repayments over 2-10 years

Advantages of Lendwise

Repayments begin up to 6 months after graduation
7-12% Interest Rates
Spread repayments up to 10 years

5-35% off your bootcamp tuition

Tech & AI Fluency Fund

Le Wagon’s Tech & AI Fluency Fund offers from 10% to 35% off tuition fees to applicants from underrepresented or underserved backgrounds. Each year, over 300 students are supported across Europe with a total of up to €400,000 invested into the fund.

We welcome all applicants who face challenges accessing traditional education, including (but not only):

People with disabilities
People looking to make a career change over the age of 45 years old
Young professionals under 25 years old, hoping to take a bootcamp abroad
People with low income (less than 60% the gross median income)

Admission

How to apply to our data science & AI bootcamp

Our admission process is beginner-friendly and will give you a taste of our course. Start now!

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 background and your motivation.

3

Pass our technical quiz

You will take a technical quiz to assess your coding knowledge and your ability to learn.

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 40h of training.

Apply now

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FAQ

Your questions, answered

Data Science & AI course requires basic programming and math knowledge:

Programming: Familiarity with data types, conditions, loops, functions, and data structures (arrays and dictionaries) in any language like Python, Ruby, or JavaScript.

Mathematics: Comfort with high school-level functions, derivatives, and linear equations.

We provide pre-bootcamp resources to help you brush up on linear algebra and statistics.

Data Science is a broader, interdisciplinary field that includes advanced techniques like machine learning, predictive modeling, and algorithm development to uncover patterns and generate insights from both structured and unstructured data. Data Analytics, on the other hand, focuses on analyzing existing datasets to identify trends, solve specific problems, and support immediate decision-making. While Data Analytics is a key component of Data Science, the latter extends to creating models and systems that enable predictions and automation. Both roles require a strong foundation in data, but their scope and focus differ significantly. To explore more about these differences, check out this article on our blog.

The main difference between Le Wagon’s bootcamps and an academic degree in Computer Science or Data Science is the emphasis on hands-on skills over foundational theory. Academic degrees start with deep theoretical concepts, which are essential for advanced roles but less directly applicable to most practical tech projects.

Le Wagon’s bootcamps focus on applied skills with modern tools, enabling you to build web applications, data projects, and more from the start.

Yes, Le Wagon’s online bootcamps are eligible to be fully or partially funded, depending on your country of residence and if you meet the criteria for funding support. To find out what options are available, simply select your country on our Financing Options page. If you have multiple funding options, our admissions team will assist you in choosing the best one during your admissions interview. If you have any questions or need more information about local funding options, feel free to reach out to our admissions team at online@lewagon.org.