- Machine Learning
- Applied Machine Learning
- Google Cloud Platform
- Human Learning
- Cloud Computing
- Machine Learning Algorithms
- Deep Learning
- Artificial Neural Networks
- Data Analysis
- Python Programming
- Data Visualization
- Probability & Statistics
November 4, 2021
Approximately 1 months at 10 hours a week to completeLUIS ANGEL MENDOZA VELASCO's account is verified. Coursera certifies their successful completion of Google Cloud Machine Learning on Google Cloud Specialization.
Course Certificates Completed
Feature Engineering
How Google does Machine Learning
TensorFlow on Google Cloud
Machine Learning in the Enterprise
Launching into Machine Learning
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: LUIS ANGEL MENDOZA VELASCO by November 1, 2021
2 weeks of study, 5-7 hours per week
Google Cloud
Taught by: Google Cloud Training
Completed by: LUIS ANGEL MENDOZA VELASCO by October 22, 2021
1 week of study, 8-10 hours/week
Google Cloud
Taught by: Google Cloud Training
Completed by: LUIS ANGEL MENDOZA VELASCO by October 29, 2021
4 weeks of study, 8-10 hours/week
Google Cloud
Taught by: Google Cloud Training
Completed by: LUIS ANGEL MENDOZA VELASCO by November 4, 2021
3 weeks of study, 5-7 hours per week
Google Cloud
Taught by: Google Cloud Training
Completed by: LUIS ANGEL MENDOZA VELASCO by October 25, 2021
5 - 7 hours per week