Graduate Certificate in IoT Predictive Maintenance for Metalworking Engineers
Published on June 28, 2025
About this Podcast
HOST: Welcome to our podcast, today we have a special guest who's here to talk about an exciting course titled "Graduate Certificate in IoT Predictive Maintenance for Metalworking Engineers." Could you please tell us more about it? GUEST: Absolutely, this course is designed to equip learners with the latest Industry 4.0 skills. It focuses on predictive maintenance in metalworking using IoT to increase productivity, reduce downtime, and save costs. HOST: That sounds fascinating! How did you get into this field, and what inspired you to teach this subject? GUEST: I've been working in the metalworking industry for over two decades, and I've seen firsthand how automation and data-driven decision-making are transforming it. I wanted to share my knowledge and experience to help others adapt and succeed in this changing landscape. HOST: Interesting. Can you share some current industry trends related to this course? GUEST: Sure, there's a growing emphasis on preventive and predictive maintenance, powered by IoT and machine learning. Companies are realizing the benefits of predicting and preventing equipment failures rather than just reacting to them. HOST: That makes sense. Are there any challenges you face when teaching this subject or any challenges learners might encounter? GUEST: Yes, the rapid pace of technological change can be challenging. We constantly update the course to include the latest tools and techniques. For learners, the biggest challenge might be mastering the data analysis skills required to make informed decisions. HOST: What do you think the future holds for this area or industry? GUEST: I believe we'll see even greater integration of IoT, machine learning, and AI in predictive maintenance. This will lead to more efficient, reliable, and cost-effective manufacturing processes. HOST: That's an exciting outlook. Thank you for sharing your insights with us today. I'm sure our listeners have gained a lot from this conversation. GUEST: My pleasure. Thanks for having me.
