Practical Methodology and Ethics in AI
Completed by Juan Perez Rodriguez
February 27, 2026
6 hours (approximately)
Juan Perez Rodriguez's account is verified. Coursera certifies their successful completion of Practical Methodology and Ethics in AI
What you will learn
Learners will gain hands-on experience training and debugging deep learning models while considering deployment challenges and best practices.
Students will understand and evaluate ethical concerns in AI, including bias, fairness, and the societal impact of deploying neural networks.
Learners will explore how to integrate structured probabilistic models with deep learning, reducing uncertainty and improving model decision-making.
Skills you will gain
- Category: Model Training
- Category: Deep Learning
- Category: Bayesian Network
- Category: Machine Learning Methods
- Category: Ethical Standards And Conduct
- Category: Artificial Intelligence
- Category: Artificial Neural Networks
- Category: Model Deployment
- Category: Debugging
- Category: Responsible AI
- Category: Applied Machine Learning
- Category: Data Ethics
