Production AI Model Development and Ethics
Completed by Muhammad Toqeer
June 10, 2026
10 hours (approximately)
Muhammad Toqeer's account is verified. Coursera certifies their successful completion of Production AI Model Development and Ethics
What you will learn
Apply custom training loops with callbacks (early-stopping, checkpointing) and diagnose gradient issues using norm and activation analysis.
Implement feature engineering pipelines for structured and text data, then evaluate ML experiments to select production-ready models.
Create comprehensive model cards for LLM features that detail intended use, technical limitations, and specific fairness metrics.
Evaluate AI systems against established ethical guidelines to identify biases and propose actionable mitigation strategies.
Skills you will gain
- Category: Feature Engineering
- Category: Data Ethics
- Category: MLOps (Machine Learning Operations)
- Category: Data Preprocessing
- Category: Deep Learning
- Category: Model Optimization
- Category: Responsible AI
- Category: Model Evaluation
- Category: Scikit Learn (Machine Learning Library)
- Category: Software Documentation
- Category: Model Training
- Category: PyTorch (Machine Learning Library)
