Hi everyone!
I've recently created a course called AI for Engineers: From Raw Data to Decision-Ready Results, designed to help engineers use AI tools such as ChatGPT and Claude to turn raw data into useful, verified insights.
The idea behind this course is simple: AI can help us work faster, but engineering judgment and verification still matter.
The course covers a practical workflow for using AI to:
- Analyze and organize raw engineering data.
- Write better prompts for technical tasks.
- Check AI-generated results instead of blindly trusting them.
- Turn analysis into clear, decision-ready outputs.
I'd love to hear from fellow instructors and engineers!
I'm particularly interested in your feedback on whether this course is practical, relevant, and valuable for engineers in their daily work.
You can check out the available preview lectures and, if the content looks useful to you, consider enrolling.
I'd also appreciate your comments below:
- What AI skills do you think engineers need most today?
- What would make a course like this more valuable to you?
- If you review a preview lecture, what is one thing you'd improve?
Thank you for your time and honest feedback. I'm looking forward to learning from this community! π
