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$20

AI for Engineers (India)

Use AI for predictive maintenance, sensor data analysis, quality control, and simulation optimization. Built for mechanical, civil, electrical, and manufacturing engineering students and professionals.

"Predict which machine will fail next week from sensor data, investigate quality defects correlated to night shift, and optimize heat exchanger parameters — all with AI"

6 Modules

Each module builds on the previous one. By the end, you have a complete production system.

  1. 1

    AI in Engineering

    AI engineering tools landscape + Indian case studies (Tata Steel, BHEL, L&T)

  2. 2

    Predictive Maintenance

    AI-generated maintenance prediction from sensor degradation, supporting Factories Act plant-safety obligations

  3. 3

    Sensor Data Analysis

    Anomaly patterns with root cause hypotheses for rotating machinery

  4. 4

    Quality Control

    Quality investigation report identifying root causes, checked against BIS / IS standards

  5. 5

    Simulation & Digital Twins

    AI-assisted design optimization from simulation data

  6. 6

    Your Engineering AI Toolkit

    Reusable prompt library for daily engineering tasks, including BEE energy audits and BIS spec review

Skills you'll practise

Predictive MaintenanceSensor AnalysisQuality ControlSimulationPrompt Libraries

Practice data included

  • Sensor readings (5 machines, 90 days)
  • Failure history (20 records)
  • Vibration data (3-axis, 30 days)
  • Temperature logs (8 zones)
  • Production log (60 batches)
  • Defect catalog (15 types, BIS refs)
  • Simulation results (5 scenarios)
  • Parameter sensitivity analysis
  • Prompt library (20 templates)
  • Equipment specifications (5)

How this certificate is scored

Your certificate shows how many of your written answers met the rubric below, checked by an AI grader. Anyone who checks your certificate sees it.

  • You answer 6 short questions, one for each module, in your own words (at least 40 words each).
  • An AI grader checks each answer against what its module asks for: it must answer the question, use the course's practice case specifically, and be correct.
  • To pass, at least 5 of the 6 answers must meet that bar. The certificate says the answers were graded by AI.

The rubric

  1. Module 1, AI in Engineering: AI engineering tools landscape + Indian case studies (Tata Steel, BHEL, L&T).
  2. Module 2, Predictive Maintenance: AI-generated maintenance prediction from sensor degradation, supporting Factories Act plant-safety obligations.
  3. Module 3, Sensor Data Analysis: Anomaly patterns with root cause hypotheses for rotating machinery.
  4. Module 4, Quality Control: Quality investigation report identifying root causes, checked against BIS / IS standards.
  5. Module 5, Simulation & Digital Twins: AI-assisted design optimization from simulation data.
  6. Module 6, Your Engineering AI Toolkit: Reusable prompt library for daily engineering tasks, including BEE energy audits and BIS spec review.

What you walk away with

Shareable portfolio

A public URL showing your module timeline, patterns mastered, and completion status.

Everything you build

Download all your work as a ZIP file. It is yours to keep.

Module walkthrough

Each module documented with deliverables and the production pattern you implemented.

Ready to start AI for Engineers (India)?

First course free. $20 per course after that.