Introduction to Google Cloud AI and ML Solutions

BEGINNER

100 minutes

5 tasks

In this workshop, you will explore the foundational concepts of AI and ML as provided by Google Cloud. You will understand the differences between AI, ML, and data analytics and learn about various AI and ML solutions available in Google Cloud.

Scenario

As a cloud engineer at a tech consultancy firm, you've been tasked with evaluating Google Cloud's AI and ML solutions. Your goal is to understand how these solutions can be leveraged to enhance client business processes and drive innovation.

Learning Objectives

Understand the foundational AI and ML concepts
Identify different Google Cloud AI and ML solutions
Differentiate AI/ML capabilities from data analytics and business intelligence

tasks (5)

task 1: Explore AI and ML fundamentals on Google Cloud

20 min

task 2: Identify Google Cloud's AI and ML offerings

15 min

task 3: Differentiate between AI/ML capabilities and data analytics

20 min

task 4: Explore Google Cloud's data lifecycle management

25 min

task 5: Select appropriate AI/ML solutions for business use cases

30 min

Prerequisites

•Basic understanding of AI and ML concepts
•Familiarity with cloud computing principles

Skills Tested

Discussing main AI and ML conceptsExplaining how ML creates business valueDifferentiating AI/ML capabilities from data analytics and business intelligenceDiscussing which Google Cloud AI/ML solutions apply to different business use cases