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AI for Engineers: Two-Day Training Course

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What to expect

Master AI Integration in Engineering Practice

This intensive two-day training course by the Institution of Mechanical Engineers equips engineering professionals with practical AI skills for modern technical workflows. Whether you're exploring ChatGPT for design documentation, Claude for technical analysis, or no-code platforms to automate repetitive tasks, this course provides hands-on experience with the tools reshaping engineering practice.

Designed specifically for mechanical, civil, and industrial engineers, the programme bridges the gap between AI theory and real-world application. You'll learn fundamental AI principles without needing a computer science background, then progress to implementing these technologies in engineering contexts—from predictive maintenance and design optimization to automated reporting and data analysis.

What You'll Learn

  • AI Fundamentals for Engineers: Understanding machine learning, neural networks, and generative AI in technical terms relevant to engineering challenges
  • No-Code AI Tools: Practical sessions using platforms like Bubble, Make, and Zapier to build automated engineering workflows without programming
  • Engineering Applications: Case studies covering structural analysis, thermal modelling, material selection, and quality control enhanced by AI
  • Data Integration: Connecting AI tools with engineering software including CAD systems, Airtable databases, and Notion project documentation
  • Prompt Engineering: Crafting effective queries for AI assistants like Perplexity and Gemini to solve technical problems
  • Ethics and Best Practice: Understanding AI limitations, validation requirements, and professional responsibilities when deploying AI in safety-critical engineering

The course combines instructor-led workshops with hands-on exercises using real engineering datasets. You'll leave with practical templates, automation workflows you can deploy immediately, and a clear understanding of where AI adds value in your specific engineering discipline. Previous participants have reported implementing course learnings to reduce documentation time by 40% and accelerate design iterations significantly.

This training is ideal for practising engineers, engineering managers, and technical consultants who want to stay competitive as AI tra

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