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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
Koeing Learning Stack

Koenig Learning Stack

Free Pre-requisite Training

Join a free session to assess your readiness for the course. This session will help you understand the course structure and evaluate your current knowledge level to start with confidence.

Assessments (Qubits)

Take assessments to measure your progress clearly. Koenig's Qubits assessments identify your strengths and areas for improvement, helping you focus effectively on your learning goals.

Post Training Reports

Receive comprehensive post-training reports summarizing your performance. These reports offer clear feedback and recommendations to help you confidently take the next steps in your learning journey.

Class Recordings

Get access to class recordings anytime. These recordings let you revisit key concepts and ensure you never miss important details, supporting your learning even after class ends.

Free Lab Extensions

Extend your lab time at no extra cost. With free lab extensions, you get additional practice to sharpen your skills, ensuring thorough understanding and mastery of practical tasks.

Free Revision Classes

Join our free revision classes to reinforce your learning. These classes revisit important topics, clarify doubts, and help solidify your understanding for better training outcomes.

Inclusions in Koenig's Learning Stack may vary as per policies of OEMs

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♱ Excluding VAT/GST

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

Inclusions in Koenig's Learning Stack may vary as per policies of OEMs

Request 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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