Machine Learning on Google Cloud (Vertex AI & AI Platform) free download

What you’ll learn in Artificial intelligence on Google Cloud (Vertex AI & & AI System)

Comprehending of Google Cloud System
GCP Compute solutions
GCP Storage Space Services
GCP Database solutions
Identity & & Gain access to administration (IAM) of GCP
GCP Analytics solutions
GCP AutoML – Design building & & release for Tabular data
GCP AutoML – Version structure & & implementation for Picture information
GCP AutoML – Design structure & & release for Text information
GCP AI Platform – Notebooks & & version structure
GCP AI System – model release
GCP AI System – Custom-made Predictors
GCP AI Platform – Jobs creation & & entries GCP AI System-Creation and also Operating of
pipelines making use of Docker Images GCP Vertex AI -AutoML design training as well as implementation GCP Vertex AI-Custom-made design training &
implementation GCP Vertex AI -Custom version with hyperparameter
specifications tuning GCP Vertex AI -Pipes for training utilizing
AutoML part GCP Vertex AI- Pipes for training Custom Models GCP Vertex AI-Attribute Shop Description
Are you an information scientist or AI specialist who wants to recognize cloud
platforms? Are you an information researcher or AI practitioner
that has serviced Azure or AWS as well as interested to recognize exactly how ML

tasks can be done on GCP? If of course, this training course is for you. This training course will help you to comprehend the principles of the
cloud. For the larger audience, this training course is made for both newbies as well as progressed AI professionals. This training course starts with offering a summary of the Google Cloud Platform

, creating a GCP account, and offering a basic understanding of the platform. The last three areas of the program are dedicated to understanding and also working with the AI
services provided by GCP. You will service model production and release making use of AutoML for tabular, images, and message data. Obtaining predictions from the released

design utilizing APIs. In the AI platform section, you will work with model creation and also deployment utilizing AI System( both GUI
as well as coding method). Development and also submission of tasks and also analysis of the skilled version. Pipeline production utilizing Kubeflow. As well as in the Vertex AI section

, you will work with design development using AutoML, personalized version training, as well as release. Incorporation of

Who this course is for:

• Data Enthusiast who wants to know what is cloud?
• Beginner Data Scientists who are passionate in understanding cloud platforms.
• Advanced Data Scientists who are keen to understand how to leverage GCP for ML activities
• Data Scientists who already have expertise in any other cloud platforms.
• Machine learning engineers who wants know the deployment and life cycle of ML models of GCP