Self-Study
Certified Artificial Intelligence Professional (CAIP)
Build hands-on skills across the AI landscape — data analysis, machine learning, deep learning, NLP, computer vision and robotics — and learn to manage AI risk, ethics and compliance. Study independently with the official PECB course materials on myPECB — no live sessions, no schedule. Best suited to people who already know the subject well.
Veloraa Training
COURSE INFORMATION
Your Learning, at a Glance
- Price
- 899 USD
999 USD - Category
- Self-Study
- Duration
- Self-study · your own pace
- Format
- Official PECB materials
Course Overview
The Credential for Professionals Who Build and Lead AI Work
CAIP takes you from foundational AI concepts through advanced applications such as machine learning, deep learning, natural language processing, computer vision, robotics and expert systems — with a strong focus on responsible AI.
You learn to address bias, privacy and compliance and align AI with organisational goals. In the self-study format you work through the official PECB course materials on your own, then sit the same exam and earn the same credential as learners on the instructor-led course.
Hands-on, Not Just Theory
Virtual labs with real AI tools [confirm lab access for selfstudy].
Responsible AI Built In
Risk management, ethics and compliance run through the whole course.
A Path to AI Leadership
Validate your ability to integrate AI into business strategy.
Who Should Attend?
Anyone who develops, implements or leads AI work
A general understanding of basic programming is recommended.
Is it right for you?
Self-study or instructor-led?
Both lead to the same PECB exam and credential. Self-study suits learners who already have considerable knowledge of the subject and prefer to work from the materials alone.
| Compare | Self-study This page | Instructor-led |
|---|---|---|
| How you learn | Official PECB course materials | Four days of live training with a PECB-certified trainer, online or in a classroom |
| Trainer-led exercises, labs & discussion | Not included | Included |
| Pace | Your own, any time, anywhere | Scheduled sessions |
| Best for | People who already know the subject well | People who want live teaching and Q&A |
| Exam & credential | Same PECB exam and credential | Same PECB exam and credential |
| Price | 899$ | - |
Learning Objectives
By the end of the course you will be able to:
- Explain AI foundations - Explain foundational AI principles and applications
- Analyse data - Perform data analysis and create visualisations for AI projects.
- Apply machine learning - Use supervised, unsupervised and reinforcement learning on real problems.
- Build neural networks - Implement simple neural networks and deep architectures such as CNNs.
- Understand NLP and vision - Understand natural language processing and computer vision methods.
- Automate with AI - Understand robotics and expert systems for AI-driven automation.
- Manage AI risk - Identify and mitigate AI risks and ensure regulatory compliance.
- Lead ethical AI - Develop ethical AI strategies aligned with organisational values.
Curriculum
4 modules · 12 sections
The materials follow the same agenda as the instructor-led course.
Foundations of AI and Data Analysis2 Lessons
- 1. Foundations of Artificial Intelligence
- 2. Data Analysis and Visualisation
You Will Be Able To Explain AI principles and analyse and visualise data
Machine Learning3 Lessons
- 3. Supervised Learning
- 4. Unsupervised Learning
- 5. Reinforcement Learning
You Will Be Able To Apply supervised, unsupervised and reinforcement learning
Deep Learning and NLP3 Lessons
- 6. Neural Networks and Deep Learning
- 7. Convolutional Neural Networks (CNNs)
- 8. Natural Language Processing
You Will Be Able To Implement neural networks and understand NLP methods
Vision, Robotics, Security and Strategy4 Lessons
- 9. Computer Vision
- 10. Robotics and Expert Systems
- 11. AI Security
- 12. AI Strategy, Governance and Risk Management
You Will Be Able To Cover computer vision, robotics, AI security, governance and risk
Downloadable Resources: Course materials with practical exercises, plus virtual labs [confirm lab access for self-study].
What’s Included
- Official PECB materials Structured to the exam domains
- [X] pages of notes Virtual labs [confirm lab access for self-study]
- Exam voucher [Retake policy — confirm]
- Certification fee No extra cost once you pass
- [CPD credits] [Confirm for self-study]
Frequently Asked Questions
What Is the Self-Study Format?
You get the official PECB course materials and study them on your own, without live sessions or a trainer. When you are ready, you sit the same exam as every other format.
Is Self-Study Right for Me?
Self-study works best if you already have considerable knowledge of the subject. If you are newer to it, the instructor-led course adds live teaching and Q&A.
Do I Need Prior Experience?
A general understanding of basic programming is recommended. Experience in AI counts towards the full CAIP credential.
How Long Do I Have to Finish?
You get [ACCESS PERIOD] of access to the materials and study at your own pace. You can sit the exam whenever you are ready.
Is the Exam Online?
Yes. You book it through PECB Exams and take it remotely.
What If I Fail the Exam?
[RETAKE POLICY FOR SELF-STUDY — confirm with PECB before publishing]
CAIP or CAIM — Which Should I Take?
Choose CAIP if you build or implement AI. Choose CAIM if you lead AI strategy, governance and adoption using nocode tools.
Can My Team Enrol Together?
Yes. Veloraa offers corporate and bespoke programmes. Use the enquiry form below for group pricing.
Exam & Certification
Your Path to Certification
The exam covers seven competency domains. [Retake policy for self-study — confirm with PECB.]
- Study the Materials
Work through every section at your own pace
- Pass the Exam
Book online at a time that suits you
- Apply for Your Credential
Choose the level that matches your experience
- Sign the Code of Ethics
Then receive your PECB certificate
- Maintain It
Annual maintenance and continuing education
Exam Domains
- Fundamental concepts and principles of AI
- Data analysis and visualisation
- Building machine learning models
- Deep learning and NLP
- Computer vision and robotics
- AI security
- AI ethics, governance and strategy
Credential Levels
| Credential | Experience | Project Activities |
|---|---|---|
| Provisional AI Professional | None | None |
| Certified Artificial Intelligence Professional (CAIP) This Course | 5 yrs (2 in AI) | 300 hours |
Both levels require passing the CAIP exam and signing the PECB Code of Ethics.
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