Udemy – Build Production-Ready Machine Learning Systems on Google 2024-12

Build Production-Ready Machine Learning Systems on Google, Machine learning (ML) has become integral to technological advancement, offering innovative solutions across various industries. This course targets explicitly developing and deploying robust, production-ready ML systems using the Google Cloud Platform (GCP). With the increasing demand for scalable and efficient AI models in the real world, this course is designed to bridge the gap between theoretical ML concepts and practical, industry-standard applications on GCP. Plus, this is a significant foray into the all-important and lucrative world of Data Engineering. My academic background includes a PhD from the University of Cambridge, specialising in AI and Machine Learning. Coupled with extensive experience in deploying machine learning solutions in high-stakes environments, I bring a wealth of knowledge and practical insights. This course is tailored for aspiring data scientists, engineers, and AI professionals who aim to excel in implementing ML systems at scale. By joining this course, you will embark on a journey to become proficient in leveraging GCP for deploying sophisticated ML models

What you’ll learn

• Introduction to getting started with Google Cloud Platform (GCP)
• Reading in and processing text data within GCP
• Develop machine learning algorithms in GCP
• Deploy your machine learning models

Who this course is for

• People wanting to harness the power of cloud computing via GCP
• Learn powerful GCP related technologies, including BigQuery and AutoML
• People wanting to implement and deploy machine learning models in GCP

Specificatoin of Build Production-Ready Machine Learning Systems on Google

• Publisher : Udemy
• Teacher : Minerva Singh
• Language : English
• Level : All Levels
• Number of Course : 51
• Duration : 3 hours and 3 minutes

Content of Build Production-Ready Machine Learning Systems on Google

Requirements

• Should have prior experience of Python data science
• Prior experience of statistical and machine learning techniques will be beneficial
• Should have an interest in cloud environments

Pictures

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Subtitle : English

Quality: 720

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Download – 916 MB

Password file(s): www.downloadly.ir

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916 MB