PECB Certified Artificial Intelligence Professional
Gain expertise in designing, implementing, and managing AI systems
The target audience for training
- AI Professionals actively involved in the development and implementation of AI technologies
- Experienced AI Practitioners seeking to enhance their knowledge, stay updated with the latest trends, and refine their leadership skills
- Data Scientists responsible for developing and optimizing AI models
- IT Managers overseeing AI projects and initiatives within their organizations
- AI Enthusiasts who aspire to advance into leadership roles, such as AI project managers or AI strategists
- Risk and Compliance Officers responsible for managing AI-related risks and ensuring compliance with regulations
- Executives, including CIOs, CEOs, and COOs, who play a crucial role in decision-making processes related to AI
- Professionals aiming for executive-level AI roles who need a comprehensive understanding of AI technologies and their applications
What you will learn
In today’s AI-driven world, the demand for skilled professionals who can effectively implement and manage artificial intelligence systems is higher than ever. The Certified Artificial Intelligence Professional course is your gateway to mastering the essential skills and knowledge needed to succeed in this fast changing field. This program goes beyond theoretical learning by equipping you with practical tools and real-world insights to design, deploy, and manage AI solutions effectively.
By attending this course, you will gain hands-on experience with advanced AI methodologies, including machine learning, deep learning and natural language processing. You will also explore a range of cutting-edge areas, while developing strategies for risk management and maintaining ethical standards. This unique combination of technical, strategic, and ethical expertise will make you a valuable asset to any organization pursuing AI initiatives.
Attaining the Certified Artificial Intelligence Professional credential demonstrates your commitment to staying at the forefront of AI advancements. It validates your ability to integrate AI into business strategies, solve complex problems, and manage AI projects responsibly. This certification not only enhances your credibility but also opens doors to exciting career opportunities in AI and related fields.
Whether you are an AI practitioner, a data scientist, or a decision-maker, this course will empower you to:
- Understand and navigate the latest AI trends and technologies.
- Build and optimize AI systems that drive innovation.
- Address critical challenges such as AI bias, privacy concerns, and compliance.
- Strategically align AI solutions with organizational goals to maximize value.
Training programme
- Duration: 5 days
Day 1 : Foundations of AI and Data Analysis
- Training course objectives and structure
- Fundamental concepts and principles of artificial intelligence
- Data analysis and visualization
Day 2 : Machine Learning
- Foundations of data science and machine learning
- Machine learning workflow
- Supervised learning
- Unsupervised learning
- Advanced ML and borader applications
Day 3 : Deep Learning and Natural Language Processing
- Foundational NLP concepts
- Classical and intermediate NLP techniques
- Modern NLP: Transformers and large language models
- NLP applications and future directions
- Fundamental concepts of deep learning
- Deep learning architectures and advanced techniques
Day 4 : Computer Vision, Robotics, AI Strategy, Governance, and Risk Manager
- Generative models and specialized architectures
- Deep learning and future directions
- Computer vision
- Robotics
- AI security
- AI ethics
- AI governance and strategy
Day 5 : Certification exam www
The ” PECB Certified Artificial Intelligence Professional” exam meets the requirements of the PECB Examination and Certification Program (ECP). It covers the following competency domains: Duration : 3 hours
- Domain 1 : Fundamental concepts and principles of artificial intelligence
- Domain 2 : Data analysis and Visualization
- Domain 3 : Building Machine Learning models
- Domain 4-5 : Concepts of Deep Learning and NLP
- Domain 6-7-8 : Knowledge and application of Computer Vision, Robotics and Expert System
- Domain 9 : AI Risk, Privacy and Compliance
- Domain 10 : AI Ethics, Governance, Strategy
Training objectives
- Explain the foundational principles of AI and its various applications.
- Conduct data analysis and create meaningful visualizations to support AI projects.
- Apply machine learning techniques to real-world problems, including supervised, unsupervised, and reinforcement learning.
- Implement simple neural network and advanced deep learning architectures such as CNNs.
- Understand NLP systems and Computer Vision methodologies.
- Understand robotics and expert systems for AI-driven automation
- Identify and mitigate AI risks while ensuring compliance with regulations.
- Develop ethical AI strategies aligned with organizational values and societal needs.
Training prerequisites
A basic understanding of artificial intelligence concepts, data management, and information security is recommended to successfully follow this training course
Examination guide
Download the exam guide
- Language : French
- Level : Fundamental
- Certification body : 0
- Certification: Yes
- Accessibility : Yes
- Duration: 5 days
Important information:
Our courses are not registered with the Répertoire National des Certifications Professionnelles (RNCP), but they do comply with the requirements of the Répertoire Spécifique (RS).