Google Cloud AI and ML Fundamentals Course Overview

Google Cloud AI and ML Fundamentals Course Overview

The Google Cloud AI and ML Fundamentals course is designed to provide participants with a solid foundation in artificial intelligence and machine learning on the Google Cloud Platform. Throughout the course, learners will explore key concepts such as machine learning models, data preparation, and the use of various Google Cloud tools for AI applications.

Learning objectives include understanding different types of machine learning, building and deploying models, and recognizing practical applications in real-world scenarios. By the end of the course, participants will gain hands-on experience that empowers them to apply AI and ML concepts in their own projects, enhancing their skills for today’s tech-driven landscape.

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850

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Course Fee 850
Total Fees
850 (USD)
  • Live Training (Duration : 16 Hours)
  • Per Participant
  • Guaranteed-to-Run (GTR)
  • Classroom Training fee on request
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  • Live Training (Duration : 16 Hours)
  • Per Participant
  • Classroom Training fee on request

♱ Excluding VAT/GST

You can request classroom training in any city on any date by Requesting More Information

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Course Prerequisites

Prerequisites for Google Cloud AI and ML Fundamentals Course


To successfully undertake training in the Google Cloud AI and ML Fundamentals course, students should have the following minimum knowledge and skills:


  • Basic understanding of machine learning concepts and terminology.
  • Familiarity with programming concepts, particularly in Python.
  • Understanding of data analysis and visualization principles.
  • Basic knowledge of cloud computing and its benefits.
  • Familiarity with Google Cloud Platform (GCP) services is beneficial but not mandatory.

These prerequisites ensure that participants can engage fully with the course material and build a solid foundation in AI and machine learning using Google Cloud technologies.


Target Audience for Google Cloud AI and ML Fundamentals

The Google Cloud AI and ML Fundamentals course provides foundational knowledge of artificial intelligence and machine learning using Google Cloud's tools, targeting professionals looking to enhance their skills in these cutting-edge technologies.


  • Data Scientists
  • Machine Learning Engineers
  • AI Researchers
  • Cloud Architects
  • Software Developers
  • IT Managers
  • Business Analysts
  • Data Analysts
  • Technical Project Managers
  • Technical Sales Professionals
  • Students pursuing careers in AI and ML
  • Educators and Trainers in tech fields


Learning Objectives - What you will Learn in this Google Cloud AI and ML Fundamentals?

Introduction

The Google Cloud AI and ML Fundamentals course equips learners with foundational knowledge and skills to harness the power of AI and ML on Google Cloud, emphasizing practical applications and core concepts.

Learning Objectives and Outcomes

  • Understand the key concepts of artificial intelligence (AI) and machine learning (ML).
  • Identify different types of machine learning models and their applications.
  • Explore Google Cloud AI and ML tools, including TensorFlow and BigQuery.
  • Learn about data preparation and preprocessing techniques for ML.
  • Develop skills in building and deploying ML models on Google Cloud.
  • Understand best practices for implementing AI solutions in real-world scenarios.
  • Gain insights into ethical AI and responsible machine learning.
  • Explore use cases related to image processing, natural language processing, and predictive analytics.
  • Learn to evaluate model performance and tune hyperparameters effectively.
  • Use Google Cloud services to streamline AI project workflows.

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