Certified Digital Transformation Officer (CDTO)
"Although digital transformation enables organizations to improve customer experience, enhance business performance, and increase their efficiency, its implementation is not that facile as it requires, among others, competent individuals, the necessary resources, including complex software and technology, changes in organizational structure, and the implementation of change management and digital transformation strategies. To address and manage these aspects effectively, organizations need a Certified Digital Transformation Officer (CDTO).
The PECB Certified Digital Transformation Officer training course provides insightful information that will help participants to gain a comprehensive knowledge on digital transformation and the steps required to digitally transform a business model, including a thorough explanation and discussion on digital transformation methodologies and approaches. In addition, participants will acquire knowledge on some of the most widely used technologies, such as artificial intelligence, machine learning, IoT, blockchain, cloud computing, and big data.
Upon the successful completion of the training course and exam, participants can apply for the “PECB Certified Digital Transformation Officer” credential."
"This training course is intended for:
Managers and leaders seeking to thrive in the digital economy
Individuals responsible for transforming the organization’s operations through digital technologies
IT professionals or consultants seeking to enhance their knowledge on digital design and strategy to support the organization’s digital transformation initiatives
C-suite executives in digital, information, marketing, and IT roles seeking to understand how digital technologies can be used to transform business processes"
"Upon successfully completing the training course, participants will be able to:
Explain the fundamental concepts of digital transformation and digital transformation technologies, including artificial intelligence, cloud computing, big data, machine learning, IoT, and blockchain
Adopt the approaches and methodologies used for the implementation of digital transformation strategies in an organization
Support an organization in effectively designing, implementing, monitoring, and improving a digital transformation strategy
Monitor and measure the outcomes of the digital transformation strategy
Explain and apply the approaches and techniques used to establish a digital culture and communicate the digital transformation strategy"
The main requirements for participating in this training course are having a fundamental understanding of information technology concepts and general knowledge of digital transformation.
Certified Artificial Intelligence Professional (CAIP)
"In today’s AI-driven world, the demand for skilled professionals who can effectively implement and manage artificial intelligence systems is higher than ever. The Certified Artificial Intelligence Professional course is your gateway to mastering the essential skills and knowledge needed to succeed in this fast changing field. 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 Certified Artificial 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 certification not only enhances your credibility but also opens doors to exciting career opportunities in AI and related fields.
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 significant step toward becoming a leader in AI implementation and ensuring your skills remain relevant in a technology-driven future."
"This course is particularly advantageous and intended for:
AI Professionals actively involved in the development and implementation of AI technologies
Experienced AI Practitioners seeking to enhance their knowledge, stay updated with the latest trends, and refine their leadership skills
Data Scientists responsible for developing and optimizing AI models
IT Managers overseeing AI projects and initiatives within their organizations
AI Enthusiasts who aspire to advance into leadership roles, such as AI project managers or AI strategists
Risk and Compliance Officers responsible for managing AI-related risks and ensuring compliance with regulations
Executives, including CIOs, CEOs, and COOs, who play a crucial role in decision-making processes related to AI
Professionals aiming for executive-level AI roles who need a comprehensive understanding of AI technologies and their applications"
"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."
A general understanding of basic programming knowledge is recommended.
ISO/IEC 42001 Artificial Intelligence Management System
"Attending the ISO/IEC 42001 Foundation training course is an important step for professionals seeking to enhance their understanding of AIMSs. This course covers the essential aspects of ISO/IEC 42001, including context understanding, policy establishment, risk management planning, support, operation, performance evaluation, emphasizing the importance of internal audits, management reviews, and continual improvement.
By completing this training course, you will gain valuable insights and be prepared for the certificate exam. The “PECB Certificate Holder in ISO/IEC 42001 Foundation” certificate demonstrates a thorough understanding of the fundamental methodologies, requirements, and managerial approaches essential for an effective AIMS. This credential demonstrates that you possess the professional capabilities to contribute to the enhancement of AI governance and ensure compliance, making it an invaluable addition to your professional qualifications."
"This training course is intended for:
Professionals seeking to gain a fundamental understanding of the requirements of ISO/IEC 42001
Managers and consultants seeking to learn more about artificial intelligence management
Individuals involved in the management or implementation of AI systems
Individuals tasked with overseeing AI-related projects"
"After successfully completing the training course, you will be able to:
Explain the fundamental concepts and principles of artificial intelligence management
Describe the main requirements of ISO/IEC 42001 for an artificial intelligence management system (AIMS)
Identify approaches, methods, and techniques used for implementing, managing, and improving an AIMS"
There are no prerequisites to enroll in this training course.
"Artificial intelligence (AI) is becoming a driving force in today’s technology landscape. Its application has spanned across numerous sectors. Its rapid expansion brought unique challenges and considerations that demand specific expertise to ensure its effective implementation and responsible management. The PECB ISO/IEC 42001 Lead Implementer training course is your gateway to mastering the practical implementation and responsible management of AI management system.
The PECB ISO/IEC 42001 Lead Implementer training course is designed to prepare you to implement AI management system in accordance with ISO/IEC 42001. It provides you with the necessary competencies to effectively translate AI strategies into actionable solutions. It aims to provide a comprehensive understanding of AI implementation best practices and a framework for its successful integration within organizations, equipping you with the hands-on expertise to drive AIMS implementation projects.
After successfully completing the course and passing the exam, you can apply for the “PECB Certified ISO/IEC 42001 Lead Implementer” credential that demonstrates your ability to effectively implement AI strategies."
"This training course is intended for:
Professionals responsible for overseeing and managing AI projects
Consultants advising on AI implementation strategies
Expert advisors and specialists aiming to master the practical implementation of AIMS in accordance with ISO/IEC 42001
Individuals tasked with ensuring that AI projects adhere to AI requirements within an organization
Members of AIMS implementation teams involved in the implementation of AI systems
Executives and managers seeking to make informed decisions regarding AI implementation and its alignment with ISO/IEC 42001 "
"After successfully completing the training course, you will be able to:
Explain the fundamental concepts and principles of an AIMS based on ISO/IEC 42001
Interpret the ISO/IEC 42001 requirements for an AIMS from the perspective of an implementer
Initiate and plan the implementation of an AIMS based on ISO/IEC 42001 by utilizing PECB’s IMS2 Methodology and other best practices
Support an organization in operating, maintaining, and continually improving an AIMS based on ISO/IEC 42001
Prepare an organization to undergo a third party certification audit"
The main requirement for participating in this training course is having a general knowledge of the AIMS and ISO/IEC 42001.
"Artificial intelligence (AI) has become integral to the success of many organizations by enhancing efficiency through automation and improving decision-making by utilizing advanced data analytics. However, organizations should ensure the appropriate and ethical use of AI. ISO/IEC 42001 enables organizations to implement appropriate processes and controls to ensure the responsible use and management of AI system.
As the number of organizations seeking ISO/IEC 42001 compliance increases, there is a simultaneous surge in demand for skilled auditors possessing the necessary knowledge to assess and verify compliance. Therefore, PECB has developed the ISO/IEC 42001 Lead Auditor training course to empower participants with the knowledge and skills essential for planning and conducting ISO/IEC 42001 audits based on best audit practices.
The ISO/IEC 42001 Lead Auditor training course is beneficial for professionals seeking to stay ahead of the competition. This training course equips you with the expertise needed to navigate the intricate realm of AI-influenced organizational frameworks, ensuring you are well-prepared to contribute to the success of organizations in this transformative era.
After finishing the training course, you will be eligible to take the exam. After passing the exam, you will be able to apply for the ""PECB Certified ISO/IEC 42001 Lead Auditor"" credential. This certification proves your professional expertise in auditing organizations against ISO/IEC 42001 based on best auditing practices."
"This training course is intended for:
Individuals with a background in auditing, whether internal or external, seeking to specialize in auditing AI management system
Managers or consultants seeking to master the AI management system audit process
Individuals responsible for maintaining conformity with the AI management system requirements in an organization
Expert advisors in AI management
Professionals involved in analyzing and understanding business requirements for AI implementation
Individuals involved in the development and implementation of AI solutions and in designing the architecture of AI systems"
"After completing this training course, you will be able to:
Explain the fundamental concepts and principles of an AI management system based on ISO/IEC 42001
Interpret the ISO/IEC 42001 requirements for an AI management system from the perspective of an auditor
Evaluate the AI management system conformity to ISO/IEC 42001 requirements in accordance with the fundamental audit concepts and principles
Plan, conduct, and close an ISO/IEC 42001 compliance audit, in accordance with ISO/IEC 17021-1 requirements, ISO 19011 guidelines, and other best practices of auditing
Manage an ISO/IEC 42001 audit program "
The main requirement for participating in this training course is having a fundamental understanding of ISO/IEC 42001 and AI principles and concepts.
AI Risk Manager
"Artificial intelligence (AI) is transforming industries at an accelerated pace, driving innovation while simultaneously introducing new risks and challenges. As AI technologies advance, organizations must address critical concerns such as bias, security threats, transparency, and regulatory compliance. Managing these risks effectively requires a specialized approach that goes beyond traditional risk management frameworks.
The PECB Certified AI Risk Manager certification validates your expertise in identifying, assessing, and mitigating AI-related risks while ensuring compliance with industry frameworks and regulations.
Upon passing the certification exam, participants can apply for the “PECB Certified AI Risk Manager” credential."
"This training course is intended for:
Professionals responsible for identifying, assessing, and managing AI-related risks within their organizations
IT and security professionals seeking expertise in AI risk management
Data scientists, data engineers, and AI developers working on AI system design, deployment, and maintenance
Consultants advising organizations on AI risk management and mitigation strategies
Legal and ethical advisors specializing in AI regulations, compliance, and societal impacts
Managers and leaders overseeing AI implementation projects and ensuring responsible AI adoption
Executives and decision-makers aiming to understand and address AI-related risks at a strategic level"
"Upon successfully completing the training course, participants will be able to:
Understand AI risk management fundamentals, including key concepts, approaches, and techniques for identifying, assessing, and mitigating AI-related risks
Apply established AI risk management frameworks, such as the NIST AI Risk Management Framework and the EU AI Act, to ensure governance, compliance, and ethical AI use
Identify and assess AI risks, such as bias, security vulnerabilities, transparency issues, and ethical concerns
Develop and implement risk mitigation strategies and incident response measures to address AI-related threats and vulnerabilities
Integrate AI risk management into business strategy, ensuring AI initiatives align with organizational objectives while maintaining compliance with industry regulations
Continually monitor, evaluate, and improve AI risk management processes to adapt to emerging risks and evolving AI technologies
Advise key stakeholders on responsible AI adoption, providing guidance on ethical AI deployment, regulatory compliance, and best practices in AI risk governance"
The main requirements for participating in this training course are having a fundamental understanding of AI concepts and a general knowledge of risk management principles. Familiarity with AI governance frameworks, such as the NIST AI Risk Management Framework or the EU AI Act, is beneficial but not mandatory.
