- Tensorflow
- Machine Learning
- Feature Engineering
- Cloud Computing
- Vertex AI
June 4, 2019
Approximately 2 months at 10 hours a week to completeTomáš Stryja's account is verified. Coursera certifies their successful completion of Google Cloud Machine Learning on Google Cloud Specialization.
Course Certificates Completed
How Google does Machine Learning
Machine Learning in the Enterprise
Launching into Machine Learning
Feature Engineering
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: Tomáš Stryja by March 6, 2019
1 week of study, 8-10 hours/week
Google Cloud
Taught by: Google Cloud Training
Completed by: Tomáš Stryja by June 4, 2019
3 weeks of study, 5-7 hours per week
Google Cloud
Taught by: Google Cloud Training
Completed by: Tomáš Stryja by March 31, 2019
5 - 7 hours per week
Google Cloud
Taught by: Google Cloud Training
Completed by: Tomáš Stryja by May 18, 2019
2 weeks of study, 5-7 hours per week
Google Cloud
Taught by: Google Cloud Training
Completed by: Tomáš Stryja by April 29, 2019
4 weeks of study, 8-10 hours/week