Certified Artificial Intelligence Professional (CAIP)

Reference : IA-CAIP-01

Price : Contact us

Level & Prerequisites :

Duration : 5 days

  • Basic knowledge of statistics and Python

  • Prior experience in data science is a plus

This certification program offers a comprehensive and practical understanding of modern Artificial Intelligence, from its theoretical foundations to its concrete business applications.

It covers key concepts in Machine Learning, Deep Learning, Generative AI, foundational models, as well as the ethical, governance, and production deployment challenges.

The program prepares participants for the Certified Artificial Intelligence Professional exam, recognized in the industry as a mark of competence in applied AI.

Description

  • Data scientists, data analysts, data engineers.

  • Software developers and engineers.

  • IT architects and innovation managers.

  • AI/Data project managers.

  • Anyone wishing to become certified in applied AI.

Public

  • Understand the fundamental concepts of AI and Machine Learning.

  • Master the main families of models and their use cases.

  • Explore advanced architectures: deep learning, transformers, generative models.

  • Use modern AI tools and frameworks.

  • Design and evaluate a complete AI pipeline.

  • Understand the governance, ethical, and compliance challenges.

  • Prepare effectively for CAIP certification.

Course objective

  • Introduction to Artificial Intelligence

  • Machine Learning: Foundations and Practices

  • Deep Learning: Modern Architectures

  • Generative AI and Advanced Models

  • AI Tools and Frameworks

  • Deployment and Industrialization

  • Governance, Ethics, and Regulation

  • Case Studies and Practical Workshops

  • CAIP Certification Preparation

Content

Previous
Previous

Machine Learning – State of the Art

Next
Next

The Challenges of Artificial Intelligence (AI)