GCP - Serverless Computing & AI Platform for Data Science

Learn to deploy and implement applications at scale using Kubelow, spark and serverless components on Google Cloud

Ratings: 4.05 / 5.00




Description

Google Cloud platform is one of the fastest growing cloud providers right now . This course covers all the major serverless components on GCP including a detailed implementation of Machine learning pipelines using Vertex AI with Kubeflow and includging Serverless Pyspark using Dataproc , App Engine and Cloud Run .

Are you interested in learning & deploying applications at scale using Google Cloud platform ?

Do you lack the hands on exposure when it comes to deploying applications and seeing them in action?

If you answered "yes" to the above questions,then this course is for you .

You will also learn what are micro-service and event driven architectures are with real world use-case implementations .

This course is for anyone who wants to get a hands-on exposure in using the below services :

  • Cloud Functions

  • Cloud Run

  • Google App Engine

  • Vertex AI for custom model training and development

  • Kubeflow for workflow orchestration

  • Dataproc Serverless for Pyspark batch jobs

This course expects and assumes the students to have :

  • A tech background with basic fundamentals

  • Basic exposure to programming languages like Python & Sql

  • Fair idea of how cloud works

  • Have the right attitude and patience for self-learning :-)

You will learn how to design and deploy applications written in Python which is the scripting language used in this course  across a variety of different services .

What You Will Learn!

  • Deploy serverless applications using Google App Engine , Cloud Functions & Cloud Run
  • Learn how to use datastore (NoSql Database) in realistic use-cases
  • 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

Who Should Attend!

  • Aspiring data scientists and machine learning engineers
  • Data engineers and architects
  • Anyone who has a decent exposure in IT and wants to start their cloud journey