FAQ

Introduction to AI and Machine Learning on Google Cloud Course Overview

Introduction to AI and Machine Learning on Google Cloud Course Overview

Introduction to AI and Machine Learning on Google Cloud is a foundational course designed to equip learners with essential skills in artificial intelligence and machine learning using Google Cloud's powerful tools. Throughout the course, participants will explore key concepts such as supervised and unsupervised learning, data preparation, and model evaluation.

Learning objectives include understanding how to leverage Google Cloud's machine learning services and implementing practical solutions for real-world problems. By the end of the course, students will gain hands-on experience in building and deploying machine learning models, empowering them to drive innovation and enhance decision-making within their organizations. Join us to kickstart your journey in AI and machine learning today!

Purchase This Course

Fee On Request

  • Live Training (Duration : 8 Hours)
  • Per Participant
  • Guaranteed-to-Run (GTR)
  • Classroom Training fee on request
  • Select Date
    date-img
  • CST(united states) date-img

Select Time


♱ 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

  • Live Training (Duration : 8 Hours)
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

Scroll to view more course dates

♱ 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

Email:  WhatsApp:

Target Audience for Introduction to AI and Machine Learning on Google Cloud

The "Introduction to AI and Machine Learning on Google Cloud" course equips learners with foundational skills in AI and ML, tailored for today's tech-driven landscape.


  • Data Analysts
  • Data Scientists
  • AI/ML Engineers
  • Cloud Engineers
  • Software Developers
  • IT Professionals
  • Business Analysts
  • System Administrators
  • Technology Managers
  • Students in Computer Science or related fields
  • Entrepreneurs and Startups
  • Educators in technology and engineering
  • Project Managers in tech projects
  • Researchers in AI and ML domains
  • Product Managers for tech solutions


Learning Objectives - What you will Learn in this Introduction to AI and Machine Learning on Google Cloud?

Introduction

The Introduction to AI and Machine Learning on Google Cloud course equips students with foundational knowledge and practical skills in AI and machine learning, leveraging Google Cloud's powerful tools for real-world applications.

Learning Objectives and Outcomes

  • Understand the core concepts of AI and machine learning.
  • Explore Google Cloud's AI and machine learning products and services.
  • Gain proficiency in configuring and utilizing Google Cloud Machine Learning Engine.
  • Learn how to process and analyze data using Google Cloud tools.
  • Implement machine learning models using Google Cloud AutoML.
  • Develop skills in training and deploying machine learning models.
  • Understand the ethical considerations in AI and machine learning.
  • Explore use cases and applications of AI in various industries.
  • Learn about data visualization techniques with Google Cloud.
  • Evaluate model performance and make improvements.

Suggested Courses

What other information would you like to see on this page?
USD