Course Overview
Artificial Intelligence (AI) is becoming a core enabler of smart manufacturing, Industry 4.0, and digital transformation. Manufacturing organisations are increasingly using AI to improve production efficiency, quality control, predictive maintenance, supply chain visibility, energy optimisation, and decision-making.
The rise of Large Language Models (LLMs) and Generative AI has expanded AI adoption beyond engineers and data scientists. Today, production managers, quality teams, planners, and executives can directly use AI tools to analyse data, interpret reports, summarise machine logs, support root-cause analysis, and automate documentation.
However, AI adoption in manufacturing requires a clear understanding of AI capabilities and limitations, especially when AI is used to support safety-critical, operational, and compliance-related decisions.
This course provides a practical, business-oriented introduction to AI for manufacturing professionals. Participants will learn AI fundamentals, understand how AI technologies interconnect, and gain hands-on experience with leading AI tools such as ChatGPT, Gemini, Copilot, Perplexity, Grok, Claude, Manus, DeepSeek, Qwen, and NotebookLM. The focus is on real manufacturing use cases, responsible AI usage, and measurable productivity and operational improvement, without requiring programming skills.
What are the skills covered
By the end of this course, participants will be able to:
- Understand core AI concepts and terminology relevant to manufacturing
- Distinguish between AI, Machine Learning, Deep Learning, LLMs, and Generative AI
- Evaluate and select AI tools suitable for manufacturing workflows
- Apply AI tools to production analysis, quality reporting, maintenance planning, and operations documentation
- Use AI responsibly within safety, operational, and organisational constraints
- Identify high-impact AI use cases within their own manufacturing environments
Contribute to AI adoption and digital transformation initiatives
Who should attend this course
This course is designed for working professionals in manufacturing and industrial environments, including:
- Manufacturing managers and supervisors
- Production, operations, and plant managers
- Quality assurance and quality control professionals
- Maintenance and reliability engineers
- Supply chain and planning teams
- Process engineers and industrial engineers
- Digital transformation and Industry 4.0 teams
- Manufacturing executives and decision-makers
No prior AI or programming knowledge is required.
Course Curriculum
Course Modules
Exam & Certification
This course is not associated with any Certification.
