The AI Practitioner AcademyThe AI Practitioner Academy
Not sure where to start?Free 15-min level test →

Become an AI practitioner.

Learn with academic rigor and practical guidance — clear explanations, hands-on work, structured assessment and real-world projects. From a single live masterclass to a full certification.

Explore Coursesor join a live masterclass →
01

What we offer

Full certification courses — plus live masterclasses, interview prep, and programs for teams.

Self-paced + certified

Courses

Go from fundamentals to a portfolio-ready project. Self-paced modules, with live support and a verified certificate for members.

Assessed project
Personalised feedback
Live defence (soutenance)
Verified certificate
Free lessons to startBrowse courses
Live + hands-on

Live masterclasses

Focused live sessions on one topic. Build alongside the instructor and walk away with a concrete, working result you can reuse.

Working notebook
Reusable template
Replay access
Live 20–30 min Q&A
New dates every monthSee dates & register

Interview preparation

On demand

Mock rounds and feedback for DS & ML interviews.

Book

For teams

On demand

Workshops and tailored upskilling programs.

Request a quote
LF

Lina Faik

Founder, Data Impulse

Lecturer @ La Sorbonne

TAUGHT BY A PRACTITIONER

“Every course combines clear explanations, hands-on practice, structured assessment, and real-world projects. As a practitioner and teacher at La Sorbonne, I built this academy around a simple belief: meaningful results with AI come from strong technical foundations, rigorous thinking, and disciplined execution.”
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How certification works

1

Assess your level

Take the free 15-min test

Optional
2

Choose a course

Pick a course and start free

3

Lectures & quizzes

Work through modules at your own pace

4

Complete projects

Hands-on work with live Q&A

5

Defend your project

Live soutenance with feedback

6

Earn certification

A verified, shareable certificate

Ready to become a practitioner?

Start free, find your level, and build toward a certified, portfolio-ready project.

Explore CoursesTake the free level test
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Popular courses

Self-paced courses to go from fundamentals to a certified project.

All courses
Beginner

Machine Learning (Fundamentals)

This course establishes essential machine learning foundations for professionals entering the field. You'll gain hands-on experience with core algorithms, data preparation techniques, and model evaluation methods used in real-world applications. ### Course Content * **Introduction to Machine Learning & Python for ML**: Master supervised and unsupervised learning fundamentals while building proficiency with Python libraries including NumPy, Pandas, Matplotlib, and Scikit-learn. * **Data Preprocessing & Feature Engineering**: Learn to clean and transform real-world data, handle missing values and outliers, encode categorical variables, scale features, and engineer meaningful attributes that improve model performance. * **Classical Machine Learning Algorithms**: Build and compare foundational models including linear/logistic regression, decision trees, random forests, support vector machines, and k-nearest neighbors, understanding when to apply each algorithm. * **Model Evaluation & Optimization**: Develop skills to assess model performance using cross-validation, select appropriate metrics, tune hyperparameters, and prevent overfitting to ensure models generalize well. ### Audience Analysts, software developers, and professionals with basic Python knowledge who want to transition into data science and machine learning roles.

2 months4 modulesfrom €1
View course
Free
Intermediate

Machine Learning (Advanced)

This course covers advanced machine learning techniques used in industry settings. You'll move beyond foundational concepts to work on complex problems that require specialized skills. ### Course Content - **Deep Learning:** Understand neural network architectures and configure them for specific tasks - **Natural Language Processing:** Build text analysis systems including chatbots, sentiment analysis tools, and document classifiers - **Time-Series Forecasting:** Develop models to predict trends, demand patterns, and behavioral changes - **Explainable AI:** Learn methods to interpret model decisions and communicate results to stakeholders - **Applied Project:** Complete a capstone project that demonstrates end-to-end ML implementation ### Audience Data analysts, junior data scientists, and software engineers seeking to develop advanced ML skills.

2 months4 modules
View course