- Innovation
- Project Management Life Cycle
- Business Priorities
- Feasibility Studies
- Responsible AI
- Data Ethics
- Google Cloud Platform
- Data Governance
- Business Analysis
- Data Strategy
- AI Product Strategy
- Machine Learning
Managing Machine Learning Projects with Google Cloud
Completed by Daniel Sampaio da Silva
July 20, 2020
13 hours (approximately)
Daniel Sampaio da Silva'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
