Certified AI Practitioner (CAIP)

Who should get certified

CAIP is ideal for candidates who regularly use AI tools as part of their study, research, or professional work and want to validate and formalize these skills.

• University students and early-career professionals across all disciplines (Humanities, Social Sciences, STEM, Business, Arts).
• Knowledge workers, analysts, consultants, and project managers who use AI to research, summarize, and prepare presentations or reports.
• Educators, trainers, and instructional designers integrating AI into teaching, learning materials, assessment, and student support.
• Content creators, marketing and communications specialists using AI-generated text, visuals, and media in a responsible way.
• Operations, support and coordination roles using AI and no-code tools to automate routine tasks and workflows.

The exam is not intended for machine learning engineers or data scientists specializing in model development, or other advanced technical roles that require deep knowledge of algorithms, architectures, or mathematics.

What does CAIP cover

The CAIP exam assesses applied, vendor-neutral skills across six domains. All questions focus on practical scenarios and conceptual understanding rather than coding or advanced mathematics.

• Prompt Engineering & Core LLM Literacy – designing effective prompts, understanding how LLMs generate text, and recognizing their limitations (for example, hallucinations and outdated knowledge).
• AI for Study & Research Workflows – using AI to explore topics, summarize and synthesize sources, support note-taking, and manage citations while maintaining academic integrity.
• Generative Media (Images, Video, Audio) – creating prompts for generative media tools and integrating outputs responsibly into presentations, teaching materials, and communication.
• Agents, Automation & Personal Knowledge Bases – configuring no-code automation workflows and retrieval-augmented (RAG-style) personal knowledge bases, including a conceptual understanding of embeddings, vector search, and context windows.
• Data & Evaluation Literacy – using AI to explore small datasets and understanding, at a high level, how machine learning models are trained and evaluated using metrics such as accuracy, precision, recall, and F1.
• Ethics & Responsible AI – identifying risks such as bias, privacy, and misinformation, and applying responsible-use principles and policies in realistic academic and workplace scenarios.

Why get certified?

Earning the CAIP certification helps you:

• Prove that you can responsibly and effectively apply AI tools in real study and work scenarios.
• Stand out in the job market with an independent, vendor-neutral validation of your applied AI skills.
• Bridge the gap between non-technical roles and technical AI teams by understanding key AI concepts and workflows.
• Build confidence to design AI-augmented workflows for research, communication, automation, and decision-making.
• Pursue further AIPROI certifications, such as Certified AI Expert (CAIE), as part of your long-term AI career path.

Recommended knowledge and experience

There are no formal prerequisites for the CAIP exam. However, candidates are more likely to succeed if they meet the recommended profile below.

• At least 3–6 months of regular, hands-on experience using conversational AI tools for real tasks (study, work, research, content creation).
• Exposure to at least one conversational AI assistant (LLM), one generative image or video tool, one no-code automation platform, and one personal knowledge base or RAG-style tool.
• General digital literacy, including confident use of a computer, modern web browser, and common productivity tools.
• Comfort with reading simple tables and charts, and making basic numerical comparisons (no advanced statistics or programming required).
• B2-level English (reading comprehension) or higher.

No programming knowledge is required. The exam is aligned with no-code and low-code usage of AI systems.

How to Get Certified?

1. Build your skills
   Complete the Applied Artificial Intelligence course aligned with CAIP, or prepare through self-directed study and hands-on practice with AI tools.
2. Register for the exam
   When registration opens, schedule your online proctored exam via the AIPROI Exam Portal or an AIPROI Approved Exam Provider.
3. Pass the exam
   Achieve the passing score and meet all exam and identity verification requirements to earn your Certified AI Practitioner (CAIP) credential.

Preparation resources

To prepare for the CAIP exam, we recommend the following:

• Applied Artificial Intelligence – the official AIPROI course aligned with the CAIP domains. Delivery may be instructor-led or self-paced, depending on the provider.
• Practice with at least one conversational AI system, one generative media tool, one no-code automation platform, and one RAG-style personal knowledge base tool.
• Use official CAIP preparation materials (such as the Student Guide and Official Practice Exam) when available.

Focus on mastering concepts and workflows rather than memorizing the interface of any specific tool or platform.

Exam details

Key information about the CAIP exam:

• Certification title: Certified AI Practitioner (CAIP).
• Exam code: AIP-CAIP-100.
• Number of questions: 60 scored questions.
• Question types: multiple-choice (single answer) and multiple-response (select all that apply). Some items include a short scenario within a single question.
• Exam duration: 90 minutes of standard testing time.
• Language: English.
• Prerequisites: none (recommended background applies).
• Delivery method: remote, online, proctored exam delivered via an AIPROI Approved Exam Provider using a secure exam client or browser.
• Passing score: 720 out of 1000 on a scaled score range (0–1000).
• Scoring and reporting: you receive a scaled score and pass/fail result, with domain-level performance indicators where available.
• Certification validity: 2 years from the date of certification issue.
• Retake policy (summary): minimum 14-day waiting period after a failed attempt and up to three attempts in any rolling 12-month period, according to the current Exam and Retake Policy.
• Accommodations: additional 30 minutes of exam time may be available for non-native English speakers, and other accommodations may be available for eligible candidates on request, in line with the AIPROI Exam and Retake Policy.

Use of AI tools during the exam is strictly prohibited, in line with the AIPROI Exam Security Policy and Code of Ethics.

For full details, please review the official AIPROI Exam and Retake Policy, Candidate Agreement, Privacy and Data Protection Notice, and Certification Code of Ethics.

Exam availability

Sign-ups for this exam will start in January 2026. Exact registration dates and available time slots will be published in the AIPROI Exam Portal and by AIPROI Approved Exam Providers.