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PECB Certified Artificial Intelligence Professional (CAIP)

กำหนดการ
06/07/2026 - 10/07/2026
9:30 am - 4:30 pm

About this course

In today’s AI-driven world, the demand for skilled professionals who can effectively implement and manage artifcial intelligence systems is higher than ever. The Certifed Artifcial Intelligence Professional course is your gateway to mastering the essential skills and knowledge needed to succeed in this fast changing feld. This program goes beyond theoretical learning by equipping you with practical tools and real-world insights to design, deploy, and manage AI solutions effectively.

By attending this course, you will gain hands-on experience with advanced AI methodologies, including machine learning, deep learning and natural language processing. You will also explore a range of cutting-edge areas, while developing strategies for risk management and maintaining ethical standards. This unique combination of technical, strategic, and ethical expertise will make you a valuable asset to any organization pursuing AI initiatives.

Attaining the Certifed Artifcial Intelligence Professional credential demonstrates your commitment to staying at the forefront of AI advancements. It validates your ability to integrate AI into business strategies, solve complex problems, and manage AI projects responsibly. This certifcation not only enhances your credibility but also opens doors to exciting career opportunities in AI and related felds.

  • Whether you are an AI practitioner, a data scientist, or a decision-maker, this course will empower you to:
  • Understand and navigate the latest AI trends and technologies.
  • Build and optimize AI systems that drive innovation.
  • Address critical challenges such as AI bias, privacy concerns, and compliance.
  • Strategically align AI solutions with organizational goals to maximize value.

By joining this course, you are taking a signifcant step toward becoming a leader in AI implementation and ensuring your skills remain relevant in a technology-driven future.

Course Benefits

By the end of this training course, the participants will be able to:

  • Explain the foundational principles of AI and its various applications.
  • Conduct data analysis and create meaningful visualizations to support AI projects.
  • Apply machine learning techniques to real-world problems, including supervised, unsupervised, and reinforcement learning.
  • Implement simple neural network 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.
  • Develop ethical AI strategies aligned with organizational values and societal needs.

Module

Day 1 Foundations of AI and Data Analysis

Day 2 Machine Learning

Day 3 Deep Learning and Natural Language Processing

Day 4 Computer Vision, Robotics, AI Strategy, Governance, and Risk Management

Day 5 Certification exam

Who should Attend?

01

AI Professionals actively involved in the development and implementation of AI technologies

02

Experienced AI Practitioners seeking to enhance their knowledge, stay updated with the latest trends, and refne their leadership skills

03

Data Scientists responsible for developing and optimizing AI models

04

IT Managers overseeing AI projects and initiatives within their organizations

05

AI Enthusiasts who aspire to advance into leadership roles, such as AI project managers or AI strategists

06

Risk and Compliance Ofcers responsible for managing AI-related risks and ensuring compliance with regulations

07

Executives, including CIOs, CEOs, and COOs, who play a crucial role in decision-making processes related to AI

08

Professionals aiming for executive-level AI roles who need a comprehensive understanding of AI technologies and their applications

Certification and Accreditation

After successfully passing the exam, you can apply for one of the credentials shown below. You will receive the certificate once you comply with all the requirements related to the selected credential.

The requirements for the Certified Artificial Intelligence Professional certification are as follows:

Credential Exam Professional experience AIPMS project experience Other requirements
PECB Certified Provisional Artificial Intelligence Professional PECB Certified Artificial Intelligence Professional exam None None Signing the PECB Code of Ethics
PECB Certified Artificial Intelligence Professional PECB Certified Artificial Intelligence Professional exam Two years: One year of artificial intelligence experience None Signing the PECB Code of Ethics

To be considered valid, the implementation activities should follow best implementation and management practices and include the following:

  • Fundamental data analysis, visualization, and preprocessing techniques
  • General knowledge and Implementation of machine learning algorithms, covering supervised and unsupervised machine learning models.
  • Hands-on expertise and fundamental knowledge of concepts in deep learning.
  • Develop and enforce AI governance, ethics, and risk management frameworks, ensuring transparency, fairness, and compliance
  • Cross-functional collaboration to align AI initiatives with business objectives and oversee data-driven projects focused on management and analysis.

Note: This training course includes practical, hands-on labs designed to reinforce learning through real-world scenarios. The labs are delivered in a virtual environment and accessed via a web-based browser, allowing participants to practice with the tools, technologies, and environments covered in the course. This hands-on experience ensures participants gain valuable skills that can be immediately applied in their 

Examination

The PECB Certified Artificial Intelligence Professional” exam meets the requirements of the PECB Examination and Certification Program (ECP). It covers the following competency domains:

Domain 1: Fundamental concepts and principles of artificial intelligence
Domain 2: Data analysis and Visualization
Domain 3: Building Machine Learning models
Domain 4: Deep Learning and Natural Language Processing
Domain 5: Knowledge and application of Computer Vision and Robotics
Domain 6: AI Security
Domain 7: AI Ethics, Governance, Strategy

For specific information about exam type, languages available, and other details, please visit the List of PECB Exams and the Examination Rules and Policies.

Training Info

Date : 

06/07/2026 - 10/07/2026

Time : 

9:30 am - 4:30 pm

Duration:  5 Days
Venue: Grande Centre Point Lumphini 16th Floor,1188 Rama IV Road,
Thungmahamek, Sathon, Bangkok 10120
Training price: 51,500 Baht (Ex.Vat)

02 670 8980-4 ext. 321, 322, 323

Bookings

Bookings are closed for this event.

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