AI for Engineering: An Overview
Completed by G/Kumar Keshav, DM(EN-85A)
April 29, 2026
1 hours (approximately)
G/Kumar Keshav, DM(EN-85A)'s account is verified. Coursera certifies their successful completion of AI for Engineering: An Overview
What you will learn
Identify where AI can complement engineering workflows across the product lifecycle.
Describe key AI techniques used in engineering, including reduced-order models, virtual sensors, computer vision, and digital twins.
Evaluate the benefits, limitations, and trade-offs of applying AI in engineering contexts.
Explain core responsible AI principles, including explainability, interpretability, observability, and robustness.
Skills you will gain
- Category: Reinforcement Learning
- Category: Decision Support Systems
- Category: Machine Learning Methods
- Category: Artificial Intelligence
- Category: Computer Vision
- Category: Predictive Modeling
- Category: Model Evaluation
- Category: Failure Analysis
- Category: AI Integrations
- Category: AI Workflows
- Category: Image Analysis
- Category: Anomaly Detection
