Learn to master the basics of AI: Machine Learning,
Deep Learning and Natural Language Processing!

Eligible CPF and multi-financing up to 100%

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Experience an immersive and intensive training experience, designed to dive into practical workshops and real case studies.
Learn by doing, and develop concrete skills directly applicable to your future projects.

At the end of your career, we evaluate your acquired skills, issue certification attesting to your expertise, and accompany you to ensure your success in your professional projects.
You are now ready to excel!

Description of the training

This training offers you a complete immersion in the world of artificial intelligence. You will learn how to develop and apply AI models using tools such as TensorFlow, PyTorch, and Scikit-learn.


Objectives of training

At the end of this training, participants will be able to:

  • Master the key concepts of AI: Machine Learning, Deep Learning and NLP.
  • Apply supervised and unsupervised algorithms to actual data.
  • Develop and deploy AI models with TensorFlow and PyTorch.
  • Analyze advanced AI applications in areas such as computer vision and natural language processing.

Who is this training for?

The training is aimed at a wide audience, including:

This training is open to:

  • Data Analysts:Those who want to deepen their IA skills.
  • Data Scientists beginners:Those who want to improve in AI and machine learning.
  • IT Professionals and Developers:Those who want to specialize in data analysis through AI models.
  • Project Managers and Managers:Those who manage teams working on massive data projects.

Prerequisites

Basic knowledge of information systems.


Training programme

Introduction to Artificial Intelligence

  • Understand the basic concepts of AI (Machine Learning, Deep Learning, NLP).
  • Learn about the tools used in IA such as Jupyter Notebook and Google Colab.
  • Exploring supervised algorithms: linear regression, classification, model evaluation.
Unsupervised Learning and Neurons Networks
  • Introduction to Unsupervised Learning: Clustering, reduced dimensionality with PCA.
  • Discovers neuron networks and their implementation with TensorFlow/Keras.
  • Implementation of a simple neural network.
Practical Applications and Advanced Use Cases
  • Computer vision applications: Convolutional Neural Networks (CNN).
  • Introduction to Natural Language Treatment (NLP).
  • Practical workshops with real data sets: image analysis, text classification.

Training assets

  • Theoretical and practical training with real cases.
  • Specialized and experienced stakeholders in the field of AI.
  • Using modern tools such as TensorFlow, PyTorch and Google Colab.

Pedagogical methods and tools used

  • Interactive courses and live practical demonstrations.
  • Real case studies to apply the concepts and techniques learned.
  • Using tools like Jupyter Notebook and Google Colab for a full practical experience.

Evaluation

  • MCQ at the end of training.
  • Practical case studies.
  • Continuous evaluation with personalized feedback.


Normative References

The training follows good AI practices and meets safety and data management standards.

Modalities

Inter-company or remote
Intra-enterprise

Inter-company or remote

Duration:3 days

Price:€2500

More details Contact us

Intra-enterprise

Duration and program can be customized according to your company's specific needs

More details Contact us
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