Prompt Engineering
Course Code 1BMEL307D
Scheme 2025
Type of Course Ability Enhancement Course (Laboratory)
Semester III
Teaching Hours/Week (L :T : P) 0:0:2
CIE Marks 50
Total Hours of Pedagogy L :T:P:SL:TW 0:0:28:2:0
SEE Marks 50
Credits 1
Total Marks 100
Type of Examination Practical
Exam Hours 2
LIST OF EXPERIMENTS
1. Introduction to AI Tools (ChatGPT, Gemini, etc.,)
2. Zero-Shot Prompting: Writing prompts for Thermodynamics problems
3. One-Shot Prompting: Solving of Strength of Materials problems
4. Few-Shot Prompting: Heat transfer concepts
5. Role-Based Prompting: Using AI for CAD design idea generation (AutoCAD/SolidWorks/etc., concepts)
6. Instruction-Based Prompting: Prompt engineering for Manufacturing Processes (casting, welding, machining)
7. Iterative Prompting: Error analysis and refinement of engineering solutions
8. Develop AI prompt for the datasets given.
9. Design a prompt to optimize a heat exchanger system
10. Develop AI prompts for failure analysis of mechanical components
11. Develop AI prompts for inspection of cad model and final machined part using image files.
12. Create prompts for predictive maintenance using sensor data
13. Generate AI-based design concepts for sustainable mechanical systems
Suggested Learning Resources:
Textbooks:
1. Russell, S. & Norvig, P., “Artificial Intelligence: A Modern Approach”, 4th Ed., Pearson, 2020.
2. Phoenix, J. & Taylor, M., “Prompt Engineering for Generative AI”, O’Reilly, 2024.
3. Tabatabaian, M., “Prompt Engineering Using ChatGPT”, Mercury Learning, 2024.
Reference books / Manuals:
1. Ian Khan, “The Quick Guide to Prompt Engineering”, Wiley, 2024.
2. Sharma, R.C. & Bozkurt, A., “Transforming Education with Generative AI”, IGI Global, 2024.
3. Chip Huyen, “AI Engineering”, O’Reilly, 2024.
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