- Tensorflow
- Machine Learning
- Feature Engineering
- Cloud Computing
- Vertex AI
November 19, 2019
Approximately 2 months at 10 hours a week to completeMikhail Sednev's account is verified. Coursera certifies their successful completion of Google Cloud Machine Learning on Google Cloud Specialization.
Course Certificates Completed
Feature Engineering
Machine Learning in the Enterprise
How Google does Machine Learning
Launching into Machine Learning
TensorFlow on Google Cloud
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: Mikhail Sednev by November 19, 2019
2 weeks of study, 5-7 hours per week
Google Cloud
Taught by: Google Cloud Training
Completed by: Mikhail Sednev by November 19, 2019
3 weeks of study, 5-7 hours per week
Google Cloud
Taught by: Google Cloud Training
Completed by: Mikhail Sednev by November 13, 2019
1 week of study, 8-10 hours/week
Google Cloud
Taught by: Google Cloud Training
Completed by: Mikhail Sednev by November 13, 2019
5 - 7 hours per week
Google Cloud
Taught by: Google Cloud Training
Completed by: Mikhail Sednev by November 14, 2019
4 weeks of study, 8-10 hours/week