Summary
Transform your engineering productivity with hands-on Python programming skills. From automating repetitive calculations to building machine learning models for predictive maintenance, this practical course teaches mechanical engineers the Python coding skills essential for modern AI-driven engineering workflows.
The engineering landscape is changing fast. 82% of UK engineering firms struggle to find talent with the right digital skills.
Engineers with Python expertise command 15-25% higher salaries and are leading the AI transformation in manufacturing, automotive, and energy sectors.
Python has become the dominant programming language in engineering due to its powerful libraries for data analysis, machine learning, and automation. However, many mechanical engineers lack the programming foundation needed to leverage these capabilities in their daily work, from processing sensor data to automating design calculations.
This hands-on course teaches Python programming from the ground up, with every example and exercise tailored to mechanical engineering applications. Participants will learn to write Python scripts that automate tedious calculations, analyse experimental data, integrate with CAD systems, and implement machine learning algorithms for engineering optimisation and predictive maintenance.
Day 1: Python Foundations for Engineers
• Basic Python programming (types, loops, functions)
• Master Python syntax through mechanical engineering examples
• Learn to use Copilot GPT-5 for writing code and debugging
• Engineering data tasks (input files, calculations, plotting, troubleshooting)
• Automate a calculation, process real/CSV data, error handling
Day 2: AI Applications for Mechanical Engineers
• More complex scripting, integrating with Excel/CAD, automating reporting
• Introduction to data analysis libraries (NumPy, pandas, matplotlib)
• Build a simple predictive maintenance model to prevent equipment failures
• Develop automated workflows for CAD integration and data processing
• Build a generative AI app and HVAC calculator with a user interface
Who should attend?
This course is designed for:
- Design Engineers looking to automate CAD workflows and optimization
- Manufacturing Engineers implementing Industry 4.0 and smart factory solutions
- R&D Engineers wanting to leverage AI for product development
- Project Engineers seeking to improve efficiency through automation
- Engineering Managers building digital capabilities in their teams
Please note:
We require delegates to bring to the course a laptop/device with Python 3.6 or later or Anaconda installed. We use git bash for code repositories and running commands.
Instructions for downloading this software for free will be included in the course joining instructions. It is the delegate's responsibility to ensure that they have access to the necessary software prior to arriving. This course would benefit line managers, project managers, team leaders and anyone else who has responsibility for leading modern, diverse teams.
How will I benefit?
After the course you will be able to:
• Write Python scripts to automate engineering calculations and data processing
• Use essential Python libraries (NumPy, pandas, matplotlib, etc.) for engineering tasks
• Build machine learning models for predictive maintenance and design optimisation
• Process and visualise large datasets from sensors and simulations
• Integrate Python with engineering software and CAD systems
• Implement algorithms for HVAC calculation, thermal analysis, vibration analysis, and material modelling
• Create custom engineering tools and applications using Python
• Write, debug and troubleshoot Python code efficiently with the help of MS Copilot GPT-5
• Apply machine learning techniques to solve mechanical engineering problems
• Reduce design iteration time by 30-50% through automated optimisation
• Create custom engineering tools that your team will use
• Integrate AI into existing workflows without disrupting operations
What Past Delegates Say
"The course has provided an excellent start on how to introduce Python into my role as a design engineer... I feel the course has provided me with the fundamentals to develop my own code." – Design Engineer
"Ali's passion for the subject shows through in his enthusiasm. He was clear, helpful and keen to answer complicated questions that weren't in the training agenda." – Manufacturing Engineer
"Very good foundational course delivered well... useful to pick up best practice tips and useful resources." – Senior Engineer
93% overall satisfaction rating | 50% Net Promoter Score