Applied AI: Data Analytics and Machine Learning
Build practical skills in Python, data analytics, machine learning and deep learning through EPFL’s flexible Applied AI learning pathway. Start with a Microcredential, progress through two Certificates of Open Studies, or enrol directly in the DAS in Applied AI: Data Analytics & Machine Learning, applying your skills through a Capstone Project.
Who is the target audience?
Professionals working with data who wish to develop comprehensive, end-to-end expertise spanning the full applied AI workflow. The program is suited for data analysts, business analysts, researchers, engineers, and scientists who want to master both the analytical and predictive dimensions of working with data in Python, as well as software engineers and career changers seeking to build industry-relevant, EPFL-certified skills across both disciplines.
Why should you enroll?
Data has become one of today’s most valuable strategic assets — and organizations increasingly need professionals who can not only analyze and communicate data, but also build the predictive systems that drive decisions at scale. This program is built around Python’s applied AI ecosystem — NumPy, Pandas, Matplotlib, Seaborn, Scikit-learn, TensorFlow, and Keras — enabling participants to develop rigorous, industry-relevant expertise across both the data analytics and machine learning disciplines.
Discovery Webinar
Join us for an online Discovery Webinar introducing the new learning pathway. By the end of the session, you will:
- Understand what the pathway covers and how the program is structured
- Get an overview of the two Certificates of Open Studies and the capstone project, and how they build on each other
- Find out who the program is designed for and what prior knowledge is recommended
- Know how to enroll and get your questions answered live
Online Learning Experience
There’s never been a better time to learn online. Gain access to EPFL’s world-class continuing education programs tailored to your needs from anywhere in the world.
Learn online, Learn at your pace
This course consists of approximately 900 hours of learning material, instructor led coaching and hands-on project work.
There are no fixed start dates and you can learn at your own pace online (no onsite presence required).
Job-ready skills with an EPFL Diploma
The course equips learners with real-world applicable skills commonly sought by employers looking to recruit Data Science experts. During their capstone project, learners have the opportunity to showcase their new skill-set as they work on the full data science pipeline of a real-life project. All graduates will earn an EPFL Diploma of Advanced Studies and 30 ECTS credits.
Personalized support and coaching
Each subscription provides 24/7 access to our own learning platform and includes:
- one to one video coaching sessions with EPFL instructors
- Q&A forum managed by EPFL instructors
- personalized feedback on your assignments
FAQ
- Basic programming knowledge is required. Participants should be familiar with concepts such as variables, loops, functions, and basic data structures in Python or another programming language.
- Basic understanding of mathematics and probability is required. Participants should be familiar with fundamental concepts in linear algebra such as vectors and matrices, and probability, including notions of frequency and randomness.
CHF 14,000.–
The following non-cumulative discounts are available:
- Launch offer: enroll in the DAS by 30 October and receive an exclusive 30% special launch reduction on the programme fee.
- 20% off for EPFL AI Center partners
- 10% off for EPFL Alumni contributing members
- 10% off for EPFL VPI partners
The complete DAS represents approximately 900 hours of study (the actual workload may vary depending on each participant’s prior experience and programming background). Participants have 27 months to complete the program and should plan to dedicate approximately 12 hours per week to their studies.
All of our programs consist of video training, written lessons and hands-on exercises. The curriculum is based on hands-on project work. The course projects provide the opportunity to demonstrate that you have acquired the skills taught in the program.
Our courses and programs are all self-paced; you can start learning immediately. Please note that we reserve the right to limit the number of enrollments at any given time to ensure that our course instructors can provide the high-quality and personalized support that each of our learners deserve.
|
If you want to…
|
Your route
|
|
Refresh your Python foundations before beginning
|
Start with the free Python Refresher
|
|
Build practical Python and data analytics skills
|
Begin with the first Microcredential or the COS in Applied Data Analytics and Visualization
|
|
Progress from analytics into machine learning and deep learning
|
Explore the COS in Applied Machine Learning
|
|
Commit to a recognized qualification in Applied AI and apply your skills through a Capstone Project
|
Enroll directly in the DAS in Applied AI: Data Analytics & Machine Learning
|
Please follow the enrollment instructions on the relevant course pages.
The recently relaunched offer provides updated and enriched content, a more flexible learning pathway and the opportunity to earn an EPFL Diploma of Advanced Studies (DAS).
Nontheless, if you would still prefer to enroll in the original Applied Data Science: Machine Learning programme, we will exceptionally accept enrollments until 31 October 2026. Please contact us by email if you would like to proceed with this route.
Interested in learning more about our programs?