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Data Science Model Deployments and Cloud Computing on GCP
Data Science Model Deployments and Cloud Computing on GCP

Data Science Model Deployments and Cloud Computing on GCP: Learn to deploy and implement applications at scale using Kubeflow, Spark, and serverless components on Google Cloud

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Profile Icon Siddharth Raghunath
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Can$94.99
Video May 2023 6hrs 55mins 1st Edition
Video
Can$94.99
Subscription
Free Trial
Arrow left icon
Profile Icon Siddharth Raghunath
Arrow right icon
Can$94.99
Video May 2023 6hrs 55mins 1st Edition
Video
Can$94.99
Subscription
Free Trial
Video
Can$94.99
Subscription
Free Trial

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Key benefits

  • Learn from an easy-to-understand and step-by-step course, along with resource materials
  • Highly practical explanations and lab exercises to help you grasp the most out of the course
  • Design and deploy Python applications across various services, using gcloud command-line interface

Description

Google Cloud platform is one of the most rapidly growing cloud providers in the market today, making it an essential skill for aspiring cloud engineers and data scientists. This comprehensive course covers all major serverless components on GCP, providing in-depth implementation of machine learning pipelines using Vertex AI with Kubeflow, and Serverless PySpark using Dataproc, App Engine, and Cloud Run. The course offers hands-on experience using GCP services such as Cloud Functions, Cloud Run, Google App Engine, and Vertex AI for custom model training and development, Kubeflow for workflow orchestration, and Dataproc Serverless for PySpark batch jobs. The course starts with modern-day cloud concepts, followed by GCP trial account setup and Google Cloud CLI setup. You will then look at Cloud Run for serverless and containerized applications, and Google App Engine for serverless applications. Next, you will study cloud functions for serverless and event-driven applications. After that, you will look at data science models with Google App Engine and Dataproc Serverless PySpark. Finally, you will explore Vertex AI for the machine learning framework, and cloud scheduler and application monitoring. By the end of the course, you will be confident in deploying and implementing applications at scale using Kubeflow, Spark, and serverless components on Google Cloud.

Who is this book for?

This intermediate course is designed for those who aspire to become data scientists and machine learning engineers, data engineers, architects, and anyone with a decent exposure in IT looking to start their cloud journey. The course is ideally suited for individuals who possess a fair idea of how the cloud works and have prior experience in basic programming using Python and SQL. A tech background with basic fundamentals and basic exposure to programming languages such as Python and SQL along with the Bash command line will further help individuals fast-track their learning.

What you will learn

  • Deploy serverless applications using Google App Engine, Cloud Functions, and Cloud Run
  • Learn how to use datastore (NoSQL database) in realistic use cases
  • Understand microservice and event-driven architecture with practical examples
  • Deploying production-level machine learning workflows on cloud
  • Use Kubeflow for machine learning orchestration using Python
  • Deploy Serverless PySpark Jobs to Dataproc Serverless and schedule them using Airflow/Composer

Product Details

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Publication date, Length, Edition, Language, ISBN-13
Publication date : May 30, 2023
Length: 6hrs 55mins
Edition : 1st
Language : English
ISBN-13 : 9781805120438
Languages :
Tools :

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Product Details

Publication date : May 30, 2023
Length: 6hrs 55mins
Edition : 1st
Language : English
ISBN-13 : 9781805120438
Languages :
Tools :

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Table of Contents

10 Chapters
Course Introduction and Prerequisites Chevron down icon Chevron up icon
Modern-Day Cloud Concepts Chevron down icon Chevron up icon
Get Started with Google Cloud Chevron down icon Chevron up icon
Cloud Run - Serverless and Containerized Applications Chevron down icon Chevron up icon
Google App Engine - For Serverless Applications Chevron down icon Chevron up icon
Cloud Functions - Serverless and Event-Driven Applications Chevron down icon Chevron up icon
Data Science Models with Google App Engine Chevron down icon Chevron up icon
Dataproc Serverless PySpark Chevron down icon Chevron up icon
Vertex AI - Machine Learning Framework Chevron down icon Chevron up icon
Cloud Scheduler and Application Monitoring Chevron down icon Chevron up icon
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