May 2023
Advanced
6h 56m
English
Closed Captioning available in English
Overview
In this 6-hour course, you will learn to confidently deploy and manage large-scale data science applications using Google Cloud Platform. Topics covered include serverless components like Cloud Run and Google App Engine, as well as advanced tools such as Kubeflow and Dataproc for workflow orchestration and PySpark job management.
What I will be able to do after this course
- Master deploying serverless applications on Google Cloud using Cloud Functions, Run, and App Engine.
- Learn to handle data science workflows using Dataproc Serverless and PySpark integration.
- Understand and implement machine learning pipelines with Vertex AI and Kubeflow orchestrator.
- Gain practical expertise in cloud infrastructure setup and management with gcloud CLI.
- Enhance your ability to design scalable, efficient cloud-based applications leveraging Google Cloud.
Course Instructor(s)
Your instructor, Siddharth Raghunath, is an experienced cloud computing and data science professional. Having taught and mentored numerous students in cloud technologies, he adopts a hands-on, clear, and step-by-step approach to his teaching style. Siddharth specializes in simplifying complex concepts and ensuring learners can confidently apply their knowledge in real-world scenarios.
Who is it for?
This course is perfect for professionals with a background in IT or programming who aspire to become proficient in cloud-based data science model deployments. It is suited for data scientists, machine learning engineers, or cloud engineers aiming to expand their skillset with Google Cloud. A basic understanding of Python, SQL, and cloud computing concepts will enhance your learning experience.
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