- Tensorflow
- Machine Learning
- Feature Engineering
- Cloud Computing
- Vertex AI
June 16, 2018
Approximately 2 months at 10 hours a week to completeIgor Rivin's account is verified. Coursera certifies their successful completion of Google Cloud Machine Learning on Google Cloud Specialization.
Course Certificates Completed
Machine Learning in the Enterprise
Launching into Machine Learning
TensorFlow on Google Cloud
How Google does Machine Learning
Feature Engineering
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
Earned after completing each course in the Specialization
Google Cloud
Taught by: Google Cloud Training
Completed by: Igor Rivin by June 16, 2018
3 weeks of study, 5-7 hours per week
Google Cloud
Taught by: Google Cloud Training
Completed by: Igor Rivin by June 12, 2018
5 - 7 hours per week
Google Cloud
Taught by: Google Cloud Training
Completed by: Igor Rivin by June 13, 2018
4 weeks of study, 8-10 hours/week
Google Cloud
Taught by: Google Cloud Training
Completed by: Igor Rivin by June 11, 2018
1 week of study, 8-10 hours/week
Google Cloud
Taught by: Google Cloud Training
Completed by: Igor Rivin by June 15, 2018
2 weeks of study, 5-7 hours per week