Udemy – Recommendation Systems With Terraform On Google Cloud 2024-6

Course Recommendation Systems With Terraform On Google Cloud. This comprehensive course teaches you how to build advanced recommendation systems using Google Cloud Platform (GCP) and Terraform. By taking this course, you can unlock the potential of personalized user experiences and increase user engagement. Course Overview: In this course, you’ll gain the knowledge and tools to design, deploy, and manage powerful recommendation engines that can scale to meet the needs of modern applications. You’ll learn how to take advantage of the extensive capabilities of GCP’s machine learning infrastructure and services, along with the automation and scalability provided by Terraform. At the end of this course, you will be able to:

• Confidently design and implement various recommender system algorithms.
• Leverage GCP’s machine learning infrastructure and services for scalable recommendation engines.
• Automate the deployment and management of recommendation systems using Terraform.
• Use text analytics techniques to increase personalization of recommendations.

Sign up today and start your journey to building advanced recommendation systems on Google Cloud!

What you will learn in the Recommendation Systems With Terraform On Google Cloud course

• Getting to know how to start working with Google Cloud Platform (GCP)
• Read and process data in GCP
• Getting to know Terraform
• Development of recommendation systems

Who is this course suitable for?

• People who want to use the power of cloud computing through GCP.
• Interested in learning powerful GCP-related technologies, including BigQuery and AutoML
• People who want to implement and deploy machine learning models in GCP.
• People who want to learn how to make recommendations based on data.
• People who want to get started with Terraform.

Specification of Recommendation Systems With Terraform On Google Cloud course

• Publisher:  Udemy
• Lecturer:  Minerva Singh
• Training level: beginner to advanced
• Training duration: 3 hours and 14 minutes
• Number of courses: 51

Course headings

Course prerequisites

• 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
• Prior exposure to recommender systems

Course images

Sample video of the course

download link

Download part 1 – 1 GB

Download part 2 – 509 MB

File(s) password: www.downloadly.ir

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1.5 GB