Data Science Model deployments and Cloud Computing on GCP

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Price: 34.99$

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.