Why should you participate ?
This certification allows you to demonstrate your technical and strategic expertise in artificial intelligence. You will learn not only how to develop machine learning, deep learning, and NLP models, but also how to incorporate ethical, governance, and risk management practices into your AI projects. It strengthens your professional profile and your ability to lead responsible and innovative AI initiatives.
Who is this training intended for ?
This training is intended for :
- Professionals specializing in AI technologies
- Data scientists and machine learning engineers
- IT managers leading AI projects
- Ethics and Compliance Officers
- Decision-makers (CIOs, CEOs, CDOs) involved in AI strategy
- Professionals aspiring to leadership roles in AI
Prerequisites
A general knowledge of programming (e.g., Python) is recommended, as well as an understanding of the basics of machine learning.
Learning objectives
By the end of the training, you will be able to :
- Explain the fundamental principles and concepts of AI
- Perform data analysis and create visualizations
- Develop machine learning models
- Implement deep learning and NLP architectures
- Apply methods in computer vision, robotics, and expert systems
- Identifying and Managing AI Risks, Privacy, and Compliance
- Developing ethical AI strategies that align with organizational values
Training program
The training course lasts 4 days :
1° First day
Foundations of AI and Data Analysis
2° Second day
Machine Learning
3° Third day
Deep Learning and Natural Language Processing
4° Fourth day
Computer Vision, Robotics, AI Strategy, Governance, and Risk Management
Educational approach
The training combines theory with real-world case studies, focusing on practical exercises, quizzes, and interactive discussions to reinforce technical and ethical knowledge related to AI.
PECB Certification exam
The exam lasts 3 hours and covers the following areas :
- Fundamental principles and concepts of an artificial intelligence management system
- Apply data analysis and visualization
- Develop Machine Learning models using Python
- Concepts of Deep Learning and NLP
- Knowledge and application of Computer Vision, Robotics and Expert Systems
- AI Risk, Privacy and Compliance
- AI Ethics, Governance, Strategy