Artificial Intelligence
CAIPCertified AI Professional / CAIP
CAIP is PECB's hands-on, practitioner credential for the people who build and run AI. Over five days it works through the full toolkit — data analysis and visualization, machine learning, deep learning and NLP, computer vision and robotics — and pairs it with the security, governance, ethics, and risk practices that keep AI trustworthy. Much of the learning happens in practical labs, so participants leave able to apply the techniques, not just describe them.
Program update
PECB has updated and restructured the CAIP program to expand coverage of modern AI developments — large language models (LLMs), retrieval-augmented generation (RAG), and agentic AI — alongside strengthened machine learning, deep learning, and natural language processing content and reinforced responsible-AI practices. DAI Consultancy delivers the updated program; these topics are covered in the course.
Learning path options
Why attend
- Master practical AI skills for build-and-run roles
- Get hands-on with machine learning, deep learning, and NLP
- Learn to manage AI risk and apply ethical-AI standards
- Integrate AI into business strategy and real problems
- Address bias, privacy, and compliance head-on
- Strengthen your credibility and AI career path
Who should attend
- AI practitioners building and implementing AI solutions
- Data scientists developing and optimizing AI models
- IT managers overseeing AI projects
- Risk and compliance officers managing AI risk
- Executives (CIOs, CEOs, COOs) involved in AI decisions
What you'll learn
- Explain core AI principles and where they apply
- Analyze data and build meaningful visualizations
- Apply machine learning — supervised, unsupervised, and reinforcement
- Implement neural networks and deep-learning architectures (CNNs)
- Work with NLP, computer vision, robotics, and expert systems
- Identify and mitigate AI risk, and build ethical-AI strategies aligned to the business
Our approach
- Combines theory with real-world examples
- Runs hands-on projects that simulate real scenarios
- Uses group discussion and collaborative tasks
- Includes practical labs in a web-based virtual environment
- Aligns quizzes to the certification exam format
Prerequisites
A general understanding of basic programming is recommended.
Course agenda
Examination
The exam spans seven competency domains, from AI foundations and machine learning through to computer vision, security, and AI governance.
Certification
- Leads to the PECB Certified Artificial Intelligence Professional (CAIP) credential
- Earned by passing the exam and signing the PECB Code of Ethics
- Includes one free exam retake within 12 months
Credential tiers
Build this capability across your teams.
DAI Consultancy delivers Certified AI Professional / CAIP as a corporate cohort — in-person, virtual, or hybrid — structured around your organization's objectives.