- Tensorflow
- Jupyter
- MLOps (Machine Learning Operations)
- Data Pipelines
- Google Cloud Platform
- Unstructured Data
- Applied Machine Learning
- Big Data
- Machine Learning
- Artificial Intelligence
Smart Analytics, Machine Learning, and AI on Google Cloud
Completed by Nataliia Poluektova
January 4, 2024
6 hours (approximately)
Nataliia Poluektova's account is verified. Coursera certifies their successful completion of Smart Analytics, Machine Learning, and AI on Google Cloud
What you will learn
Differentiate between ML, AI and deep learning.
Discuss the use of ML API’s on unstructured data.
Execute BigQuery commands from notebooks.
Create ML models by using SQL syntax in BigQuery and without coding using Vertex AI AutoML.
Skills you will gain
