TRAINING
Lean Product Development
This course provides the fundamental concepts and working knowledge on Lean Product Development principles, tools, techniques and applications in order to enhance productivity and innovation. The course covers DFMA, SBCE, lean knowledge life cycle, A3 thinking for design problem-solving, trade-off curves and performance measurement. In addition is to learn LeanPD/SBCE will enable an effective Advanced Product Quality Planning (APQP) Throughout this interactive course you will apply the learning outcomes on 'real' industrial design and product development exercises and learn from the experiences of several industrial case-studies
Internet of Things (IoT): Fundamental knowledge and Practical skills
This course provides a comprehensive introduction to the fundamental concepts and practical working knowledge of Internet of Things (IoT) network principles, tools, techniques, and applications. It is specifically designed to address long-standing operational challenges in manufacturing and to enhance productivity, efficiency, and product quality.
Participants will gain a clear understanding of why IoT technologies are essential for modern manufacturing environments. The course covers the complete IoT system lifecycle, from network design to implementation, structured across the key architectural layers of an IoT solution. Topics begin with identifying measurable parameters of products and machines, followed by the selection of appropriate smart sensors and data acquisition devices. The course then progresses to IoT gateways, cloud-based service platforms, and the development of user applications for data visualization, monitoring, and operational feedback.
In addition, the course provides practical coverage of data communication protocols and the programming of both hardware and software components of the IoT Network. Emphasis is placed on hands-on learning to ensure participants can confidently design, build, and deploy functional IoT systems.
NOTE: "All participants are expected to have Basic laptop skills recommended. Participants should bring a laptop with admin rights (or provide a pre-configured USB/VM option).”
Participants will be provided with Raspberry Pi devices, a variety of sensors, breadboards, wiring components, and access to cloud computing platforms to support a range of practical Hands-on exercises.
AI/ML in to Manufacturing: Fundamental knowledge and Practical skills
This two-day course provides a comprehensive introduction to the fundamental concepts and practical application of Artificial Intelligence (AI) and Machine Learning (ML) in engineering and manufacturing environments. The training equips participants with working knowledge of AI/ML principles, tools, and techniques that can be applied to enhance productivity, efficiency, and innovation.
The course covers the complete AI/ML development lifecycle, including defining and preparing datasets, selecting appropriate machine learning algorithms, data preprocessing, Python-based implementation, model training, evaluation, and deployment. Participants will gain a clear understanding of how AI/ML models are developed and executed in real-world industrial contexts.
A strong emphasis is placed on hands-on learning through practical case studies drawn from design, engineering, and manufacturing applications. In addition, participants will learn how to effectively leverage currently available AI tools and platforms to accelerate development and support data-driven decision-making.
Circular Economy & Remanufacturing
