Continuous Professional Development

Fundamentals of Artificial Intelligence (AI) in Manufacturing

Artificial intelligence machine learning

Course Summary

This course demystifies AI and demonstrates the transformative power in manufacturing environments.   

The course focuses on the foundational principles of AI and through practical applications demystifies and highlights the transformative potential in manufacturing environments.  

Through a blend of theoretical and hands-on workshops, participants will explore key modelling techniques and their impact on manufacturing processes.  

Ideal for managers, professionals in technical roles, and non-coders, the course offers slow-paced explanations enriched with examples, allowing attendees to experiment with AI models without delving deep into coding.  

Join us to unlock the potential of AI and revolutionise your manufacturing strategies. 

The following topics will be covered in this course:

  1. Introduction to Artificial Neural Networks (ANN)
  2. ANN Training – Data Requirements - Overtraining
  3. Generic algorithms (GA) and their utilisation in training engines
  4. ANN Training – fitting engine
  5. Convolution ANN
  6. Regression problems
  7. Autoencoders
  8. ANN for working with time series
  9. Recurrent ANN
  10. Q-learning (basics)

During this course, you will:  

  • Gain a comprehensive understanding of the fundamental concepts and principles of artificial intelligence (AI) and its transformative potential in the manufacturing sector. 
  • Identify and describe various AI modelling and numerical approaches, including their applications and specific benefits in industrial contexts.  
  • Demonstrate the ability to navigate and utilise pre-prepared AI models on platforms like Google Colab, focusing on important variables, parameter tuning, and the effects of adjustments on model performance. 
  • Acquire technical knowledge on how AI techniques operate within manufacturing environments, including minimal mathematical explanations of algorithms, parameter tuning, and model optimisation. 
  • Apply theoretical knowledge to practical scenarios by engaging in hands-on workshops, aimed at illustrating the real-world application of AI in optimising manufacturing processes and decision-making strategies. 

The course is ideally suited to individuals that work in industry and have expertise in manufacturing. However, individuals do not need to have any background in coding and AI/ML.

There are various benefits of attending this course including:

  • New Knowledge and Skills: Acquire a solid foundation in AI fundamentals, along with specific skills in applying AI models and techniques to solve real-world manufacturing problems, without the need for deep coding knowledge.
  • Hands-On Experience: Gain practical experience through interactive workshops using Google Colab, where you'll learn to manipulate AI models, tune parameters, and observe the impact of these changes on model outcomes.
  • Strategic Insights: Develop the ability to assess and implement AI-driven strategies in manufacturing operations, leading to improved efficiency, productivity, and innovation.
  • Networking Opportunities: Connect with industry peers and experts, fostering a community of practice for sharing challenges, solutions, and advancements in the application of AI in manufacturing.

This course is delivered as a part of the Innovate UK-funded project D3M CoLAB led by National Manufacturing Institute Scotland.  

Free of charge. 

Register your interest

Dates & Venues

DateWeekly from Thursday 22 August to Thursday 31 October 2024
LocationNMIS Netherton
Duration13:30 - 16:30

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