Certified Artificial Intelligence Professional

Certified Artificial Intelligence Professional – CAIP

Build real AI skills. Get internationally certified.

The Certified Artificial Intelligence Professional (CAIP) training, delivered by Microtek Learning as an authorized PECB partner, covers everything from core AI concepts to applied machine learning, deep learning, NLP, computer vision, and robotics. This 5-day course ends with a certification exam and puts equal weight on hands-on technical work and responsible AI practices. Whether you are building models, managing AI projects, or steering organizational strategy around AI, this program gives you a practical, structured path to a globally recognized credential.

📘 PECB 🎓 Certification: YES 👥 1489 Enrolled ⏱️ 5 Days 💼 Intermediate Level ⭐ 5 | 145 Reviews

Why Microtek Learning?

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Experience

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Course Overview

The Certified Artificial Intelligence Professional (CAIP) course is built for people who want to move beyond surface level AI knowledge and develop a working understanding of how artificial intelligence actually functions, how it gets deployed, and how it should be governed.

The training covers a wide range of topics. You start with the foundations: what AI is, how data analysis and visualization fit into the picture, and why those basics matter before you touch a model. From there, the course moves into machine learning, covering supervised, unsupervised, and reinforcement learning with enough depth that you can apply these approaches to actual problems, not just recite definitions.

The second half digs into deep learning architectures like convolutional neural networks (CNNs), natural language processing, and computer vision. You also get exposure to robotics and expert systems, which rounds out the technical scope.

What sets this program apart is that it does not stop at the technical layer. There is a dedicated focus on AI risk management, ethics, governance, and regulatory compliance. These are not afterthoughts tacked onto the end; they run through the course structure because any professional working with AI today needs to understand both what the technology can do and what guardrails it needs.

The training is delivered by Microtek Learning as an official PECB partner. Participants receive PECB-certified course materials, access to hands-on virtual labs, and eligibility to sit for the CAIP certification exam on Day 5.

Mode of Training

🏫 Classroom 💻 Live Online 🧪 Blended 👨‍👩‍👧‍👦 Private Group

Upcoming Schedules

Start Date	Time	Duration	Mode	Price
May 18, 2026	9:00 am - 5:00 pm	5 Days	online	$2299	GTR
Jun 01, 2026	9:00 am - 5:00 pm	5 Days	online	$2299	GTR
Jun 22, 2026	9:00 am - 5:00 pm	5 Days	online	$2299	GTR
Jul 06, 2026	9:00 am - 5:00 pm	5 Days	online	$2299	GTR
Jul 20, 2026	9:00 am - 5:00 pm	5 Days	online	$2299	GTR
Aug 03, 2026	9:00 am - 5:00 pm	5 Days	online	$2299	GTR
Aug 17, 2026	9:00 am - 5:00 pm	5 Days	online	$2299	GTR
Aug 31, 2026	9:00 am - 5:00 pm	5 Days	online	$2299	GTR

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What you will learn

Explain the core principles of artificial intelligence and articulate how different AI techniques apply to different types of problems.
Perform data analysis and build visualizations that support AI project goals with real, actionable insight.
Apply machine learning techniques to real problems, including supervised learning, unsupervised learning, and reinforcement learning.
Build and work with neural networks, including deep learning architectures like convolutional neural networks (CNNs).
Understand NLP systems and computer vision methods well enough to evaluate their use in real-world applications.
Work with robotics and expert systems concepts for AI-driven automation.
Identify and manage AI risks while keeping deployments in line with relevant regulations and compliance requirements.
Develop ethical AI strategies that align with your organization's values and broader societal expectations.

Who Should Attend This Course?

This course is designed for professionals across different roles and experience levels who work with AI or plan to. Here is who will benefit the most:

•   AI practitioners and developers who are hands-on with AI systems and want structured, current knowledge alongside a certification to back it up.
•   Data scientists responsible for building and improving AI models who want to sharpen their skills across machine learning, deep learning, and NLP.
•   IT managers and project leads overseeing AI initiatives within their organizations who need a solid technical foundation along with governance and risk management knowledge.
•   Risk and compliance officers who deal with AI-related risks and need to understand how regulations apply to AI deployments.
•   Senior executives (CIOs, CEOs, COOs) involved in AI-related decisions who want to understand the technology well enough to guide strategy.
•   Professionals aiming for AI leadership roles such as AI project managers, AI strategists, or AI program directors who need both technical fluency and a recognized credential.
•   AI enthusiasts and career changers looking to break into AI with a structured, credible training path rather than piecing things together from scattered online resources.

Prerequisites

You do not need deep technical expertise to enroll. A general understanding of basic programming concepts is recommended, as the course includes hands-on labs and exercises that involve working with code and data. If you have some familiarity with any programming language (Python is common in this space, but not required), you will be well positioned to keep up.

No prior AI or machine learning experience is required. The course builds from foundational concepts and works up to advanced topics, so it is designed to bring people along regardless of their starting point.

How the training works

This is not a lecture-only course where you sit and listen for five days. The program mixes theory with practice so you can actually retain and use what you learn.
•   Structured curriculum: The course content moves from foundational AI principles to advanced applications in a logical sequence. Each topic builds on the previous one.
•   Hands-on labs: You work through practical exercises in a virtual lab environment, accessed through your browser. These labs simulate real scenarios so you get to practice with actual tools and workflows.
•   Group discussions: Interactive sessions and collaborative activities are built into the schedule. You learn from the instructor and from other participants' experiences and questions.
•   Exam preparation: Quizzes and practice exercises throughout the course are aligned with the CAIP certification exam format, so you go into the exam on Day 5 knowing what to expect.

Exam and certification details

About the exam

The CAIP certification exam takes place on Day 5 of the training. It tests your practical understanding across the full scope of the course. The exam covers seven competency areas:

Core AI concepts and principles
Data analysis and visualization
Building machine learning models
Deep learning and NLP
Computer vision and robotics
AI security
AI ethics, governance, and strategy

For the complete list of exam types, available languages, and policies, refer to the PECB List of Exams and the PECB Examination Rules and Policies on the official PECB website.

Certification pathways

Once you pass the exam, you can apply for one of two credential levels depending on your experience:

Credential	Experience required	Other requirements
PECB Certified Provisional Artificial Intelligence Professional	None	Sign the PECB Code of Ethics
PECB Certified Artificial Intelligence Professional	2 years total, including 1 year of AI-specific experience	Sign the PECB Code of Ethics

If you do not yet have the experience needed for the full certification, you can start with the Provisional credential and upgrade later once you meet the requirements.

📞 Talk to a Learning Advisor

📘 AI Professional Outline

Training course objectives and structure
Fundamental concepts and principles of artificial intelligence
Data analysis and visualization

Foundations of data science and machine learning
Unsupervised learning
Machine learning workflow
Advanced ML and broader applications
Supervised learning

Foundational NLP concepts
NLP applications and future directions
Classical and intermediate NLP techniques
Fundamental concepts of deep learning
Modern NLP – Transformers and large language models
Deep learning architectures and advanced techniques

Generative models and specialized architectures
AI security
Deep learning and future directions
AI ethics
Computer vision
AI governance and strategy
Robotics
Closing of the training course

❓ Frequently Asked Questions

The Certified Artificial Intelligence Professional (CAIP) is an internationally recognized credential that validates your knowledge across core AI domains: machine learning, deep learning, NLP, computer vision, robotics, and AI governance. It is issued by PECB, a global certification body.

No. The course starts with foundational concepts and builds up. A basic understanding of programming is recommended, but no previous AI or machine learning experience is required.

A general understanding of programming concepts is enough. You do not need expertise in a specific language, though familiarity with Python is helpful since it is widely used in AI work.

Yes. The certification exam fee is included in the training price. You sit for the exam on Day 5 of the course.

The training runs for 5 days. Days 1 through 4 cover the course material, including hands-on labs. Day 5 is the certification exam.

It depends on your professional experience. With no prior experience, you receive the PECB Certified Provisional Artificial Intelligence Professional credential. With at least 2 years of total professional experience (including 1 year in AI), you qualify for the full PECB Certified Artificial Intelligence Professional credential. Both require signing the PECB Code of Ethics.

Yes. The training includes practical labs delivered in a virtual environment, accessed through your web browser. These labs let you work with the tools and concepts covered during the course.

Yes. Microtek Learning offers this course as a live online instructor-led training. You participate in real time with the instructor and other attendees.

Three things: structure, certification, and accountability. This is a PECB-certified program with an internationally recognized exam at the end. The curriculum is designed by PECB, the training is delivered by certified instructors, and you walk away with a credential that employers and clients recognize. Free courses rarely offer that combination.

Yes. Microtek Learning is an authorized PECB training partner. All CAIP training delivered through us follows the official PECB curriculum and certification process.

Yes. Once you accumulate the required professional experience (2 years total, with 1 year in AI), you can apply to upgrade your credential without retaking the exam.

PECB looks for experience that includes activities like data analysis and preprocessing, implementing machine learning models, working with deep learning concepts, developing AI governance and ethics frameworks, and collaborating across teams on AI projects aligned with business goals.

What You Get with Microtek Learning

Instructor-Led Excellence

✓ Certified Instructor-led Training
✓ Top Industry Trainers
✓ Official Student Handbooks

Measurable Learning Outcomes

✓ Pre- & Post-Training Assessments
✓ Practice Tests
✓ Exam-Oriented Curriculum

Real-World Skill Building

✓ Hands-on Activities & Scenarios
✓ Interactive Online Courses
✓ Peer Collaboration (Not in self-paced)

Full Support & Perks

✓ Exam Scheduling Support ^*
✓ Learn & Earn Program ^*
✓ Support from Certified Experts
✓ Gov. & Private Pricing ^*

Our Clients

For over 10 years, Microtek Learning has helped organizations, leaders, students and professionals to reach their maximum potential. We have led the path by addressing their challenges and advancing their performances.