- Tensorflow
- Machine Learning
- Feature Engineering
- Cloud Computing
- Vertex AI
Machine Learning on Google Cloud
Completed by Peter Miller
October 15, 2018
Approximately 2 months at 10 hours a week to completePeter Miller's account is verified. Coursera certifies their successful completion of Google Cloud Machine Learning on Google Cloud Specialization.
Course Certificates Completed
Build, Train and Deploy ML Models with Keras on Google Cloud
Feature Engineering
How Google does Machine Learning
Machine Learning in the Enterprise
Launching into Machine Learning
What you will learn
Use Vertex AI AutoML and BigQuery ML to build, train, and deploy ML models
Implement machine learning models using Keras and TensorFlow 2.x
Implement machine learning in the enterprise best practices
Describe how to perform exploratory data analysis and improve data quality
Skills you will gain
Course Certificates
Earned after completing each course in the Specialization
Build, Train and Deploy ML Models with Keras on Google Cloud
Google Cloud
Taught by: Google Cloud Training
Completed by: Peter Miller by August 30, 2018
4 weeks of study, 8-10 hours/week
Feature Engineering
Google Cloud
Taught by: Google Cloud Training
Completed by: Peter Miller by October 26, 2018
2 weeks of study, 5-7 hours per week
How Google does Machine Learning
Google Cloud
Taught by: Google Cloud Training
Completed by: Peter Miller by June 21, 2018
1 week of study, 8-10 hours/week
Machine Learning in the Enterprise
Google Cloud
Taught by: Google Cloud Training
Completed by: Peter Miller by November 1, 2018
3 weeks of study, 5-7 hours per week
Launching into Machine Learning
Google Cloud
Taught by: Google Cloud Training
Completed by: Peter Miller by July 5, 2018
5 - 7 hours per week