AI & Machine Learning

AI and ML are transforming every industry. This track gives you both the theoretical depth and practical skills to build intelligent systems. You start with mathematical foundations: linear algebra, probability, statistics, and calculus — taught through code, not textbooks. Then Python data science: NumPy, pandas, matplotlib, seaborn. Classical ML with scikit-learn: regression, classification, clustering, dimensionality reduction, ensemble methods. Deep learning with TensorFlow and PyTorch: neural networks, CNNs, RNNs, transformers, transfer learning. MLOps: model versioning, experiment tracking with MLflow, deployment with FastAPI and Docker, monitoring in production. You build 7 complete projects including a recommendation system, a natural language processing pipeline, a computer vision application, and a deployed ML API. Capstone: design, train, and deploy an end-to-end ML solution for a real business problem.

From €179.70

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Learning Path

How This Track Works

Four phases from enrollment to employment — structured, supported, and proven to work.

Pick Your Path

Select the track that matches your career goal. Not sure where to start? Our free 5-minute skills assessment recommends the right track based on your experience and aspirations.

Learn by Doing

Every module pairs short video lessons with hands-on coding exercises and real-world projects. You do not just watch — you build, test, debug, and deploy working applications from day one.

Get Expert Feedback

Submit projects for code review by industry professionals. Receive detailed, actionable feedback on architecture decisions, code quality, and best practices — not just pass/fail grades.

Launch Your Career

Graduate with a portfolio of deployed projects, a recognised certificate, and access to career services: resume coaching, mock interviews, and warm introductions to our hiring partner network.

Reviews

What Students Say

"I was a retail manager with zero coding experience. Fourteen weeks later I was writing React components at Doctolib. The projects in the Full-Stack track are what got me the interview — the hiring manager said my portfolio was stronger than CS graduates."

Léa D.
Front-End Developer, Doctolib

"The Cloud Architecture track prepared me for the AWS SAA exam and a real engineering role. I passed the certification first attempt and received three job offers within two weeks. The hands-on labs are genuinely production-grade."

Karim B.
Cloud Engineer, OVHcloud

"Coming from biology, I was sceptical that an online course could teach me ML. The AI track starts from mathematical basics and builds systematically. I deployed my first production ML model in month three. By month five, I had a job offer from Datadog."

Emma P.
ML Engineer, Datadog