Google Cloud Big Data and Machine Learning Fundamentals
|
This course introduces the Google Cloud big data and machine learning products and services that support the data-to-AI lifecycle.
This course introduces the Google Cloud big data and machine learning products and services that support the data-to-AI lifecycle. It explores the processes, challenges, and benefits of building a big data pipeline and machine learning models in Google Cloud.
Author Name: Google Cloud
Author Description:
Google Cloud can help solve your toughest problems and grow your business. With Google Cloud, their infrastructure is your infrastructure. Their tools are your tools. And their innovations are your innovations.
Table of Contents
- Course Introduction
4mins - Big Data and Machine Learning on Google Cloud
28mins - Data Engineering for Streaming Data
22mins - Big Data with BigQuery
38mins - Machine Learning Options on Google Cloud
24mins - The Machine Learning Workflow with Vertex AI
26mins - Course Summary
4mins
User Reviews
Be the first to review “Google Cloud Big Data and Machine Learning Fundamentals”
Related Products
Networking in Google Cloud: Fundamentals
Networking in Google cloud is a 6 part course series. Welcome to the first course of our six part course series, Networking in Google Cloud: Fundamentals.
Application Development with Cloud Run
This course introduces you to fundamentals, practices, capabilities and tools applicable to modern cloud-native application development using Google Cloud Run.
Google Cloud Functions: Getting Started
Serverless technologies are taking the developer world by storm because they allow you to push out code quickly and know that it will scale. This course teaches you how to get started writing serverless code on the Google Cloud Platform.
Deploying Containerized Workloads Using Google Cloud Kubernetes Engine
This course deals with the Google Kubernetes Engine, the most robust and seamless way to run containerized workloads on the GCP. Cluster creation, the use of volume storage abstractions, and ingress and service objects are all covered in this course.
Networking in Google Cloud: Hands-On Practice
This course consists of a series of labs, designed to provide the learner hands-on experience performing a variety of tasks pertaining to setup and maintenance of their Google VPC networks.
Architecting with Google Kubernetes Engine: Workloads
In Architecting with Google Kubernetes Engine- Workloads, you'll embark on a comprehensive journey into cloud-native application development.
There are no reviews yet.