Course Overview
Privacy & Data Protection
Overview
The EXIN Privacy & Data Protection certification programme delivers vendor-neutral, GDPR-aligned credentials that validate professionals’ understanding of personal data protection principles, legal requirements (especially under the EU General Data Protection Regulation), and how to apply privacy controls and governance in organisational contexts; these certifications are designed to equip individuals such as data protection officers, privacy and compliance officers, security managers, HR staff, and other professionals responsible for personal data compliance with the knowledge and skills needed to support effective privacy management, risk mitigation, and regulatory adherence.
Career Path Structure
Foundation Level
EXIN Privacy & Data Protection Foundation – Entry-level certification covering key subjects related to personal data protection, GDPR scope, principles and practice of data processing, international transfers, and risk assessment/mitigation, aimed at staff requiring basic GDPR and privacy knowledge.
Professional Level
EXIN Privacy & Data Protection Professional – Advanced certification that validates a professional’s ability to apply GDPR knowledge in practice, including managing data protection policies, organising data protection activities, understanding roles of controller/processor/Data Protection Officer (DPO), conducting Data Protection Impact Assessments (DPIAs), and handling data breaches and incident response.
Career Path Integration – Data Protection Officer
EXIN Certified Data Protection Officer Career Path – A structured progression that includes:
- Foundation prerequisites: EXIN Privacy & Data Protection Foundation and EXIN Information Security Foundation (to establish a strong baseline in data protection and security).
- Specialist level: EXIN Privacy & Data Protection Professional with practical assignments to demonstrate competence required of a Data Protection Officer (DPO).
| 2026 CLASSES | |||||
|---|---|---|---|---|---|
| Jan | Feb | Mar | Apr | May | Jun |
| 5-7 | – | 16-18 | – | 11-13 | – |
| Jul | Aug | Sep | Oct | Nov | Dec |
| 20-22 | – | 7-9 | – | 16-18 | – |
BCS Artificial Intelligence (AI)
Overview
The EXIN BCS Artificial Intelligence certification portfolio equips professionals with certified knowledge of artificial intelligence concepts, principles, ethical considerations, and practical applications, offering foundational understanding through the AI Essentials and AI Foundation credentials and extending into specialised areas such as generative AI and AI compliance; these certifications help individuals from diverse backgrounds (including business, IT, and management) understand how AI systems work, how to responsibly adopt AI technologies, and how to navigate emerging regulatory and ethical frameworks in today’s AI-driven landscape.
Career Path Structure
Foundation Level
EXIN BCS Artificial Intelligence Essentials – Introductory certification that tests fundamental AI terminology, the general principles of AI, machine learning basics, opportunities and risks, and the implications of AI on work and society.
EXIN BCS Artificial Intelligence Foundation – Expanded foundation certification offering broader understanding of key AI concepts, ethical and sustainable AI, AI and robotics, machine learning foundations, challenges and risks, and human–machine collaboration.
Specialized Foundation Awards
EXIN BCS Generative Artificial Intelligence Award – Focuses on generative AI, including understanding generative models, ethical and legal considerations, practical business applications, and responsible use of GenAI technologies.
EXIN BCS Machine Learning Award – Provides a structured introduction to machine learning principles, including supervised and unsupervised learning, data processing, model training, and applied techniques relevant to AI systems.
Professional Level
EXIN Artificial Intelligence Compliance Professional (AICP) – Advanced certification emphasising AI governance, legal compliance, ethical frameworks, and practical application of the EU AI Act, ISO/IEC 42001, NIST AI RMF, and related standards for responsible AI deployment and lifecycle management.
Career Path Integration
AI Compliance Officer Career Path – A structured career development pathway that combines foundational and specialist AI certifications with related credentials (such as Information Security Foundation and Privacy & Data Protection) to build expertise in AI governance, risk and compliance
leadership.
| 2026 CLASSES | |||||
|---|---|---|---|---|---|
| Jan | Feb | Mar | Apr | May | Jun |
| 5-7 | 23-25 | 2-4 | 13-15 | 18-20 | 8-10 |
| Jul | Aug | Sep | Oct | Nov | Dec |
| 20-22 | 3-5 | 7-9 | 19-21 | 2-4 | 21-23 |
Cloud Computing (Cloud)
Overview
The EXIN Cloud Computing certification programme provides professionals with a vendor-neutral, foundational understanding of cloud computing principles, including cloud characteristics, service and deployment models, security, compliance, management, and practical implementation considerations, enabling individuals involved in managing or using internet-based services to make informed decisions about cloud adoption, access, and evaluation in organisational contexts.
Career Path Structure
Foundation Level
EXIN Cloud Computing Foundation – Entry-level certification covering the fundamentals of cloud computing concepts, use and access, security and compliance, implementation and management, and cloud evaluation.
Career Path Integration (via EXIN Career Paths)
Although EXIN does not currently list multiple dedicated Cloud Computing levels on its main certification pages, the Cloud Computing Foundation can be combined with other professional certifications as part of broader EXIN Career Path journeys that support roles related to cloud services
and digital transformation (e.g., Cloud-related management, integration, or security roles within paths such as Digital Service Manager or DevSecOps Manager).
| 2026 CLASSES | |||||
|---|---|---|---|---|---|
| Jan | Feb | Mar | Apr | May | Jun |
| 5-7 | – | 16-18 | – | 11-13 | – |
| Jul | Aug | Sep | Oct | Nov | Dec |
| 20-22 | – | 7-9 | – | 16-18 | – |
CCC Internet Of Things (IoT)
Overview
The EXIN CCC Internet Of Things (IoT) Foundation certification (often referenced as CCC IoT Foundation in the EXIN portfolio) provides professionals with a vendor-neutral, foundational understanding of IoT concepts, terminology, architecture, business potential, and basic deployment models, helping learners grasp how connected devices, sensors, data flows, and network components work together and how this
emerging technology can deliver value and strategic advantage in organisational and digital transformation contexts.
Career Path Structure
Foundation Level
CCC Internet of Things (IoT) Foundation – Entry-level certification focused on core IoT concepts, terminology, basic architecture, business opportunities, challenges, and use cases. It is intended for professionals who wish to understand IoT fundamentals from both business and technology
perspectives.
Career Path Integration
IoT knowledge can support broader EXIN career paths such as Digital Transformation Officer and other S-shaped Professional frameworks, where understanding emerging technologies like IoT is part of the skill mix for strategic roles. (EXIN Career Paths emphasise integrating foundational
competencies like IoT with other domain skills for broader roles.)
Optional Complementary Areas
Cloud Computing Foundation – Often paired with IoT knowledge, since IoT systems frequently interact with cloud platforms.
Data Analytics / AI / Security Certifications – Commonly combined with IoT skills to enhance career readiness in data-driven and secure connected systems — while not specific IoT tiers, they strengthen an IoT-related career profile.
| 2026 CLASSES | |||||
|---|---|---|---|---|---|
| Jan | Feb | Mar | Apr | May | Jun |
| – | 9-10 | – | 6-7 | – | 8-9 |
| Jul | Aug | Sep | Oct | Nov | Dec |
| – | 10-12 | – | 26-27 | – | 14-15 |
CCC Big Data
Overview
The EXIN CCC Big Data Foundation certification (accredited by the Cloud Credential Council) provides professionals with a vendor-neutral, foundational understanding of Big Data concepts, technologies, and practices, including the nature and characteristics of large data sets, common data sources, data mining principles, and key processing technologies such as Hadoop and MongoDB; this certification helps learners grasp how Big Data can be applied to real-world problems and supports IT/technical roles by validating essential analytical and technical competencies in an era where organisations increasingly rely on data-driven decision-making.
Career Path Structure
Foundation Level
CCC Big Data Foundation – Entry-level certification covering core Big Data fundamentals, including data characteristics, sources, basic data mining concepts, and introductory technologies like Hadoop and MongoDB.
Career Path Integration (via broader CCC/EXIN frameworks)
While the CCC Big Data programme primarily centres around the foundation certification, the Big Data credential often fits into broader digital and cloud career pathways designed by CCC/EXIN that combine foundational skills with other related certifications, such as:
Cloud Technology and Cloud Professional Credentials – Big Data knowledge can be coupled with cloud associate and professional cloud roles (e.g., Cloud Technology Associate, Professional Cloud Administrator) to develop broader data-centric cloud expertise.
Digital Transformation or Data-Driven Roles – Professionals may build on Big Data fundamentals with adjacent certifications in Data Analytics, AI, or Cloud to support roles in digital transformation and data-driven decision making within organisations (though EXIN/CCC does not list multiple stacked Big Data levels)
| 2026 CLASSES | |||||
|---|---|---|---|---|---|
| Jan | Feb | Mar | Apr | May | Jun |
| 5-7 | 23-25 | 2-4 | 13-15 | 18-20 | 8-10 |
| Jul | Aug | Sep | Oct | Nov | Dec |
| 20-22 | 3-5 | 7-9 | 19-21 | 2-4 | 21-23 |
