Skip to main content
GalsenAI

Learning

Training

Learning AI without knowing where to start is discouraging. This section organizes resources by career path, distinguishing what is available in French from what only exists in English.

career paths
6 career paths
French resources
15 French resources
English courses
8 English courses

The six career paths

  • Data Scientist / ML Engineer

    Design and deploy predictive models to solve complex problems.

    • Python
    • Machine Learning Algorithms
    • Statistics
    6 resources
  • Data Analyst

    Analyze data to extract insights and help decision-making.

    • SQL
    • Python / R
    • Data Visualization (Tableau, PowerBI)
    3 resources
  • Data Engineer

    Build the infrastructure for collecting, storing, and processing data.

    • SQL / NoSQL
    • Python / Java / Scala
    • Big Data (Spark, Hadoop)
    3 resources
  • NLP Engineer

    Build systems that understand, process, and generate human language.

    • Python
    • Natural Language Processing
    • Transformers / LLMs
    4 resources
  • Computer Vision Engineer

    Create models that understand and analyze images or videos.

    • Image processing
    • Convolutional Neural Networks (CNNs)
    • Object Detection
    4 resources
  • MLOps Engineer

    Automate and manage the lifecycle of machine learning models in production.

    • Python
    • Docker / Kubernetes
    • CI/CD
    3 resources

Training and certifications

What the community provides itself

The paths above point to external resources. These three programs are organized by GalsenAI.

  • Elements of AI

    University of Helsinki and MinnaLearn

    Introductory course to artificial intelligence, with no programming prerequisites, concluding with a certificate. It is aimed at anyone who wants to understand what AI does and doesn't do, before considering writing any.

  • NVIDIA Training Sessions

    NVIDIA Deep Learning Institute

    Hands-on workshops, leading to a certificate of competency. They cover the fundamentals of deep learning and more specialized applications.

  • ML Study Jams

    Community-led collective format

    Group study sessions: participants advance together on a machine learning program, at their own pace, relying on mutual aid rather than a single trainer.

Upcoming sessions are announced on our networks and via the newsletter. To be notified or propose a session in your institution, write to us.

How this section is designed

  • Six jobs, six paths

    No path is better than another. They simply don't lead to the same daily work, and the description of each serves exactly that: recognizing yourself.

  • French first

    Francophone resources are highlighted because the language barrier dismisses too many talents before the first line of code.

  • The language is stated, not hidden

    The best open courses often remain in English. Rather than pretending they don't exist, the community references them, clearly stating the language they are in.

Are we missing a resource?

These paths are built from what the community has tested and recommends. If a course, channel, or book has helped you and doesn't appear here, let us know: it will help those starting after you.