- Innovation
- Artificial Intelligence and Machine Learning (AI/ML)
- Data Ethics
- Google Cloud Platform
- Technical Management
- Business Analysis
- Business Ethics
- Machine Learning
- IT Management
- Project Management Life Cycle
- Feasibility Studies
- Data Governance
Managing Machine Learning Projects with Google Cloud
Completed by Diego Armando Avila Tito
July 9, 2022
13 hours (approximately)
Diego Armando Avila Tito's account is verified. Coursera certifies their successful completion of Managing Machine Learning Projects with Google Cloud
What you will learn
Explore common machine learning use cases implemented by businesses.
Assess the feasibility of your own ML use case and its ability to meaningfully impact your business.
Identify the requirements to build, train, and evaluate an ML model.
Define data characteristics and biases that affect the quality of ML models and recognize key considerations for managing ML projects.
Skills you will gain
