The Certified Artificial Intelligence Professional (CAIP) course prepares professionals to design, implement, and govern AI systems in real operational environments. Unlike theory-heavy AI programs, this training focuses on applied decision-making: how models are selected, deployed, controlled, and aligned with business, risk, and regulatory expectations. Participants work through the full AI lifecycle—from data analysis and model development to governance, ethics, and risk management—using practical scenarios drawn from current enterprise AI deployments. This course is suited for professionals who already work with data, technology, or digital strategy and need a structured, credible way to manage AI responsibly at scale.
Upcoming dates you can join soon.
This course runs multiple times per year, onsite and online.
Explain foundational AI concepts and common applications
Analyze data and produce meaningful visualizations for AI projects
Apply machine learning techniques to real-world problems
Implement neural networks and deep learning architectures (e.g., CNNs)
Understand NLP and computer vision methodologies
Identify and mitigate AI risks while supporting compliance
Develop ethical AI strategies aligned with organizational values
“Henri perfectly filled in the gaps in our knowledge and tailored the course contents to our difficult schedules, many thanks !”
Simon Baynes
BCMS manager
MSC MEDITERRANEAN SHIPPING COMPANY SA
“Henri and Alexis conducted a focused, intensive four-day ISO/IEC 27001 Lead Implementer Course of immediate relevance to The Global Fund. Participants representing both IT and Risk are now better prepared to design and operationise a corporate ISMS.”
Andreas Tamberg
Senior advisors enterprise risk management
The Global Fund
“Overall enjoyable training. To the point end trainer kept clear focused.”
Stephane Di Bari
Service operations manager
UNICC
Get instant answers to common questions about this course from our expert trainers.
A CAIP professional designs and deploys AI solutions, validates models with data, and manages risk, ethics, privacy, and governance so AI delivers value responsibly.
“CAIP capability blends building models with responsible delivery.”
Expert Trainer
The CAIP exam is domain-based, covering AI fundamentals, data analysis, ML, deep learning and NLP, computer vision and robotics, plus AI risk, privacy, compliance, ethics, governance, and strategy.
“CAIP tests both technical and responsible AI competence.”
Expert Trainer
Day 1 covers AI fundamentals and data analysis; Day 2 focuses on machine learning; Day 3 covers deep learning and NLP; Day 4 covers computer vision, robotics, and responsible AI strategy, governance, and risk.
“The course moves from foundations to deployment-ready capability.”
Expert Trainer
They reduce failures from bias, privacy breaches, security issues, and non-compliance, and they help ensure AI stays aligned with business objectives over time.
“Responsible AI is how you make AI sustainable.”
Expert Trainer
CAIP is ideal for AI practitioners and data scientists, plus IT leaders, risk/compliance professionals, and executives who need a practical and responsible AI foundation.
“CAIP aligns technical delivery with decision-making and oversight.”
Expert Trainer
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