- Model Deployment
- Machine Learning
- Jupyter
- Big Data
- Applied Machine Learning
- Unstructured Data
- Artificial Intelligence
- Data Pipelines
- Google Cloud Platform
- Image Analysis
- Natural Language Processing
- Tensorflow
Smart Analytics, Machine Learning, and AI on Google Cloud
Completed by Arthur Parmentier
November 21, 2024
6 hours (approximately)
Arthur Parmentier'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
