- Tensorflow
- Machine Learning
- Feature Engineering
- Cloud Computing
- Vertex AI
July 25, 2018
Approximately 2 months at 10 hours a week to completeBRUNO GARROFE SAMPAIO'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
Feature Engineering
Machine Learning in the Enterprise
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: BRUNO GARROFE SAMPAIO by May 28, 2018
1 week of study, 8-10 hours/week
Google Cloud
Taught by: Google Cloud Training
Completed by: BRUNO GARROFE SAMPAIO by July 7, 2018
2 weeks of study, 5-7 hours per week
Google Cloud
Taught by: Google Cloud Training
Completed by: BRUNO GARROFE SAMPAIO by July 25, 2018
3 weeks of study, 5-7 hours per week
Google Cloud
Taught by: Google Cloud Training
Completed by: BRUNO GARROFE SAMPAIO by June 2, 2018
5 - 7 hours per week
Google Cloud
Taught by: Google Cloud Training
Completed by: BRUNO GARROFE SAMPAIO by June 9, 2018
4 weeks of study, 8-10 hours/week