AI Professional
PECB Certified Artificial Intelligence Professional (CAIP)
2026 edition
Self-paced PECB training delivered via myPECB.
Global training partner Aegentra is an official PECB authorised training partner and an official CompTIA partner.
The technical counterpart to CAIM: design, deploy, and manage AI systems rather than govern a portfolio of them. Five days moving from AI foundations and data analysis through machine learning, then NLP and deep learning, then computer vision and robotics — closing on AI security, ethics, governance, and strategy. Practical labs run in a virtual environment through the browser. Concludes with the official PECB certifying exam.
- Typical study effort
- 40–50 hours
- CPD credits
- 31
- Course languages
- English
Who it is for
- AI professionals actively involved in developing and implementing AI technologies
- Experienced AI practitioners refining their knowledge and leadership skills
- Data scientists developing and optimising AI models
- IT managers overseeing AI projects and initiatives
- Risk and compliance officers managing AI-related risks and regulatory compliance
- Executives — CIOs, CEOs, and COOs — involved in AI decision-making
- Professionals moving toward executive-level AI roles
What you will learn
- Explain the foundational principles of AI and its various applications.
- Conduct data analysis and create meaningful visualisations to support AI projects.
- Apply machine learning techniques to real-world problems — supervised, unsupervised, and reinforcement learning.
- Implement simple neural networks 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.
Course content
Day 1 — Foundations of AI and data analysis
- Training course objectives and structure
- Fundamental concepts and principles of artificial intelligence
- Data analysis and visualisation
Day 2 — Machine learning
- Foundations of data science and machine learning
- The machine learning workflow
- Supervised learning
- Unsupervised learning
- Advanced ML and broader applications
Day 3 — Natural language processing and deep learning
- 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 governance, ethics, and security
- Generative models and specialised architectures
- Deep learning and future directions
- Computer vision
- Robotics
- AI security
- AI ethics
- AI governance and strategy
Day 5 — Certification exam
- PECB Certified Artificial Intelligence Professional exam
- Three hours across the seven competency domains
Prerequisites
- PECB recommends basic programming knowledge.
- Expect technical material covering data analysis, machine learning and AI model development.
The exam
- Format
- Open-book, multiple-choice
- Duration
- 3 hours
- Questions
- 80 multiple-choice questions in the current English PECB examination record
- Pass mark
- 70%
What is included
Course materials
- PECB Certified Artificial Intelligence Professional slide deck (digital)
- Practical examples and exercises throughout
- 12 months access via myPECB
- Attestation of course completion worth 31 CPD credits
Exam package
- Certification and examination fees included in the course price
- Three-hour exam across seven competency domains
- One free retake within 12 months of the initial exam date
- PECB Certified Artificial Intelligence Professional credential on pass
Hands-on labs
- Practical labs delivered in a virtual environment, accessed through the browser
- Machine learning workflow — supervised and unsupervised
- Neural networks and deep learning architectures including CNNs
- NLP with transformers and large language models