- Applied Machine Learning
- Model Deployment
- Image Analysis
- Big Data
- Unstructured Data
- Artificial Intelligence
- Machine Learning
- Natural Language Processing
- Data Pipelines
- Google Cloud Platform
- Tensorflow
- Jupyter
Smart Analytics, Machine Learning, and AI on Google Cloud
Completed by Dwifiandika Faulus
January 10, 2024
6 hours (approximately)
Dwifiandika Faulus'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
