- Data Pipelines
- Unstructured Data
- Artificial Intelligence
- Jupyter
- Machine Learning
- Applied Machine Learning
- Model Deployment
- Google Cloud Platform
- Big Data
- Image Analysis
- Tensorflow
- Natural Language Processing
Smart Analytics, Machine Learning, and AI on Google Cloud
Completed by Cezar Kei Shimoosako
March 30, 2021
6 hours (approximately)
Cezar Kei Shimoosako'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
