- Tensorflow
- Machine Learning
- Feature Engineering
- Cloud Computing
- Vertex AI
September 6, 2019
Approximately 2 months at 10 hours a week to completeKuan-Yu Huang'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
TensorFlow on Google Cloud
Launching into 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: Kuan-Yu Huang by August 28, 2019
1 week of study, 8-10 hours/week
Google Cloud
Taught by: Google Cloud Training
Completed by: Kuan-Yu Huang by September 6, 2019
3 weeks of study, 5-7 hours per week
Google Cloud
Taught by: Google Cloud Training
Completed by: Kuan-Yu Huang by August 31, 2019
4 weeks of study, 8-10 hours/week
Google Cloud
Taught by: Google Cloud Training
Completed by: Kuan-Yu Huang by August 28, 2019
5 - 7 hours per week
Google Cloud
Taught by: Google Cloud Training
Completed by: Kuan-Yu Huang by September 4, 2019
2 weeks of study, 5-7 hours per week