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Google Cloud Machine Learning - Beginner to Intermediate Course Overview

Google Cloud Machine Learning - Beginner to Intermediate Course Overview

Unlock the potential of data with our Google Cloud Machine Learning - Beginner to Intermediate course. This comprehensive program is designed for individuals eager to delve into the world of machine learning using Google Cloud tools. You will learn essential concepts such as data preparation, model training, and deployment, empowering you to build predictive models.

By the end of this course, you will be able to apply your knowledge to real-world scenarios, enhancing your decision-making skills and driving business innovation. Whether you're a beginner or looking to deepen your knowledge, this course is your gateway to mastering cloud-based machine learning. Join us and transform your career today!

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Course Fee 1,700
Total Fees
 1,700 (USD)
  • Live Training (Duration : 40 Hours)
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  • Classroom Training fee on request

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Course Prerequisites

Minimum Prerequisites for the Google Cloud Machine Learning - Beginner to Intermediate Course


To successfully undertake the Google Cloud Machine Learning - Beginner to Intermediate course, students are encouraged to have the following minimum knowledge:


  • Basic understanding of programming concepts, preferably in Python, as it is commonly used in machine learning applications.
  • Familiarity with fundamental statistical concepts, which will help in understanding data analysis and machine learning algorithms.
  • Basic knowledge of cloud computing principles, particularly the services offered by Google Cloud Platform (GCP).
  • A willingness to learn and explore new concepts in machine learning and AI.

While these prerequisites will enhance your learning experience, the course is designed to accommodate beginners eager to develop their skills in machine learning on Google Cloud. We look forward to supporting your educational journey!


Target Audience for Google Cloud Machine Learning - Beginner to Intermediate

Google Cloud Machine Learning - Beginner to Intermediate equips learners with essential skills in ML models and Google Cloud Platform, appealing to a diverse range of tech professionals seeking to enhance their capabilities.


  • Data Analysts
  • Data Scientists
  • Machine Learning Engineers
  • Software Developers
  • IT Professionals
  • Business Analysts
  • Cloud Architects
  • Students in Computer Science or related fields
  • Project Managers in tech-oriented projects
  • Technology Consultants
  • Researchers focusing on AI and ML applications
  • Entrepreneurs looking to leverage cloud-based ML solutions


Learning Objectives - What you will Learn in this Google Cloud Machine Learning - Beginner to Intermediate?

Introduction

The Google Cloud Machine Learning - Beginner to Intermediate course equips students with essential skills in machine learning and cloud technologies, focusing on practical implementation and real-world applications to enhance their understanding and capability in this growing field.

Learning Objectives and Outcomes

  • Understand the fundamentals of machine learning and its applications.
  • Navigate Google Cloud Platform (GCP) services related to machine learning.
  • Utilize BigQuery for data analysis and machine learning model training.
  • Implement TensorFlow for building and deploying machine learning models.
  • Explore data preparation, feature engineering, and model evaluation techniques.
  • Deploy machine learning models on Google Cloud.
  • Leverage AI Platform for managing ML lifecycle.
  • Understand best practices in security and compliance for ML applications.
  • Analyze case studies of successful machine learning implementations.
  • Gain hands-on experience through practical exercises and project work.

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