EXIN Privacy & Data Protection Professional is a certification that validates a professional’s knowledge and understanding of the European privacy and data protection legislation and its international relevance, as well as the professional’s ability to apply this knowledge and understanding to everyday professional practice.

With the ever increasing explosion of information flooding the internet, every company needs to plan how to manage and protect privacy of persons and their data. Not without a reason, many new laws within the EU, as well as in the USA and many other regions, are formed in order to regulate both privacy and data protection.

The European Commission has published the EU General Data Protection Regulation (GDPR), meaning that from the 25th of May 2018 on, all organizations concerned must comply with specific rules. This Practitioner certification builds on the subjects covered by the Foundation exam by focusing on the development and implementation of policies and procedures in order to comply with existing and new legislation, application of privacy and data protection guidelines and best practices, and by establishing a data protection management system (DPMS).

The new standard in the ISO/IEC 27000 series: ISO/IEC 27701:2019 Security Techniques – Extension to ISO/IEC 27001 and ISO/IEC 27002 for Privacy Information Management – Requirements and Guidelines is useful for organizations that want to show compliance with the GDPR. The content of the new ISO standard helps fulfill the GDPR obligations to organizations regarding the processing of personal data.

Neither the GDPR nor the ISO standard are exam literature. However, the literature matrix in Chapter 4 is designed to show the link between the exam requirements, the literature, the GDPR and the ISO/IEC 27701:2019 standard to give the certification a broader context

Candidates should be able to demonstrate a knowledge and understanding in the application of ethical and sustainable Artificial Intelligence (AI):

• Human-centric Ethical and Sustainable Human and Artificial Intelligence (AI);
• Artificial Intelligence (AI) and Robotics;
• applying the benefits of AI projects – challenges and risks;
• Machine Learning (ML) Theory and Practice – Building a Machine Learning (ML) Toolbox;
• the Management, Roles and Responsibilities of Humans and Machines – The Future of AI.

Artificial Intelligence (AI) is a methodology for using a non-human system to learn from experience and imitate human intelligent behavior. The EXIN BCS Artificial Intelligence Foundation certification tests a candidate’s knowledge and understanding of the terminology and general principles of AI. This preparation guide covers the potential benefits and challenges of ethical and sustainable robust Artificial Intelligence (AI); the basic process of Machine Learning (ML) – Building a Machine Learning (ML) Toolkit; the challenges and risks associated with an AI project, and the future of AI and Humans in work. This Foundation certificate includes and expands on the knowledge taught in the EXIN BCS Essentials Certificate in Artificial Intelligence.