Digital Quality

…Blockchain for Quality 4.0

This CQI e-learning course gives a practical introduction to blockchain and how it fits into the wider Quality 4.0 picture for quality professionals. You will learn the basic ideas behind blockchain and how it improves supply chain tracking, supports automated quality checks and strengthens data management.

Once you've completed the course, you'll be able to:

• Analyse the practical applications of blockchain technology.
• Explain how blockchain enhances transparency within quality management systems.
• Discuss the role of blockchain in improving traceability.
• Evaluate the impact of blockchain on process control.
• Draw insights from real-world scenarios.

Format: 60-minute e-learning module (plus optional additional reading from resources shared in the course)

…Internet of Things, Smart Manufacturing and Automation for Quality 4.0

This CQI e-learning course explores how IoT, smart manufacturing and automation are enabling new levels of visibility, control and improvement and changing the landscape of quality management.

Once you've completed the course, you'll be able to: 

• Explain the essential concepts and interconnections of the Internet of Things (IoT), smart manufacturing and automation in the context of Quality 4.0.
• Evaluate real-world challenges and opportunities in digital transformation.
• Apply IoT sensor data, analytics and automation tools to enhance real-time monitoring, adaptive control and process optimisation in quality management systems.
• Assess new digital compliance demands, including cybersecurity, data integrity and traceability and data-driven audit requirements.
• Analyse how smart manufacturing and automation support proactive, predictive and continuous improvement for product quality and customer satisfaction.
• Understand and advise on how embedded digital technologies can deliver business resilience, operational excellence and competitive advantage.

Format: 90-minute e-learning module (plus optional additional reading from resources shared in the course)

…Managing Digital Data Quality and Architecture

This CQI e-learning course explores how data flows across systems, what can go wrong and how strong data practices support reliable, accessible and trustworthy information in a connected organisation.

Once you’ve completed the course, you’ll be able to:

• Explain how digital data flows across enterprise quality systems such as ERP, MES, QMS, CRM, and IoT platforms, and how these interconnections support traceability and continuous improvement.
• Apply data architecture principles to recognise different data sources, formats, and integration touchpoints, ensuring reliable data movement and integrity across connected systems.
• Distinguish real-time versus batch data transfer methods, and evaluate the roles of APIs, middleware, and data standardisation to overcome integration challenges and safeguard cybersecurity risks.
• Implement traceability and version control practices to maintain comprehensive audit trails, track data lineage, and support root cause analysis and compliance audits in digital quality environments.
• Balance data accessibility with governance controls to enable timely, secure, and role-appropriate data availability that supports confident decision-making while protecting sensitive information.
• Define and monitor key data quality metrics and feedback loops that enhance data accuracy, timeliness, and consistency, driving proactive quality management and strategic improvements.

Format: 90-minute e-learning module (plus optional additional reading from resources shared in the course)

...Data Privacy, Governance and Policy in IT

This BCS e-learning course introduces the importance of data governance, together with working with varied and complex data during implantation of AI technologies.

The course explores:

• Key aspects of data governance.
• Challenges in handling various data types.
• Regulation and authorities for ethical data handling.
• Data protection principles in the data protection act 2018.
• Guiding responsible data use with the data ethics framework.

Format: 60-minute e-learning module

...An Introduction to Machine Learning

This BCS e-learning course introduces the main principles of machine learning to understand how it works, the benefits it offers and how you might go about incorporating it in your organisation.

This course explores:

• Different types of machine learning.
• The machine learning process.
• The concept of deep learning.
• Use of algorithms to develop machine learning.

Format: 60-minute e-learning module