Description:
Unlock the power of machine learning across industries with this comprehensive class. Learn to create machine learning models using Scikit-Learn and delve into deep learning with TensorFlow. Discover the art of model saving and version management, and seamlessly deploy your models using Google Cloud Platform’s AI Platform for actionable insights and predictions.
Course Code/Duration:
BDT71 / 1 Day
Learning Objectives:
After this course, you will be able to:
- Understand How to Deploy Models on Google Cloud Platform (GCP)
- Understand How Machines Learn
- Understand Structured and Unstructured Data
- Compare AI vs. Machine Learning vs. Deep Learning
- Use Common Machine Learning Algorithms
- Use Scikit-Learn to Create and Train Machine Learning Models
- Use TensorFlow and Keras to Create and Train Deep Learning Models
- Use AI Platform on GCP
- Use Cloud Storage on GCP
- Use AI Platform Notebooks on GCP to Build and Train Scikit-Learn and TensorFlow Machine Learning Models
- Use GCP to Deploy Trained Machine Learning Models
- Understand the fundamental techniques through Demos and hands-on labs
