Google Cloud Digital Leader Certification Guide A Comprehensive Study Guide to Google Cloud Concepts and Technologies

By the end of this book, you'll have learned everything you need to pass the Google Cloud Digital Leader certification exam and have a reference guide for future requirements.What you will learnLeverage Google Cloud's AI and ML solutions to create business valueIdentify Google Cloud soluti...

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Bibliographic Details
Main Author: Rodrigues, Bruno
Format: eBook
Language:English
Published: Birmingham Packt Publishing, Limited 2024
Subjects:
Online Access:
Collection: O'Reilly - Collection details see MPG.ReNa
Table of Contents:
  • IaaS
  • PaaS
  • SaaS
  • Going beyond IaaS, PaaS, and SaaS
  • Containers and CaaS
  • Functions and FaaS
  • Summary
  • Part 2: Innovating with Data and Google Cloud
  • Chapter 4: The Role of Data in Digital Transformation
  • The role of data in digital transformation
  • The farmer's journey
  • digitally transformed
  • The importance of data-driven culture
  • Making better decisions
  • Improving productivity and efficiency
  • Identifying new opportunities
  • Gaining a competitive advantage
  • The impact of the cloud on data
  • Increased scalability and flexibility
  • Improved data security
  • Preparing the data
  • Select the model and train it
  • Evaluating the model
  • Deploying the model
  • Monitoring the model
  • Google Cloud solutions for ML and AI
  • Vertex AI and its associated services
  • ML APIs
  • AI business solutions
  • Generative AI
  • PaLM for text
  • PaLM for chat
  • Chirp for speech
  • Imagen for text to image
  • The embeddings API for text to image
  • Codey
  • Google AI Studio
  • Gemini
  • Summary
  • Part 3: Infrastructure and Platform Modernization
  • Chapter 7: Modernizing IT Infrastructure with Google Cloud
  • Cover
  • Title Page
  • Copyright and Credits
  • Dedication
  • Contributors
  • Table of Contents
  • Preface
  • Part 1: Introduction to Digital Transformation with Google Cloud
  • Chapter 1: Cloud Computing Fundamentals
  • An Introduction to Digital Transformation
  • An introduction to data centers
  • The why behind digital transformation
  • Infrastructure flexibility
  • Ease of R&D
  • Measurable innovation
  • Global collaboration
  • Customer value
  • Agility
  • Benefits of digital transformation
  • Modernize infrastructure
  • Manage data
  • Gain insight
  • Break down team silos
  • Reduced costs
  • Improved collaboration
  • Increased innovation
  • Summary
  • Chapter 5: Google Cloud Solutions for Data Management
  • Understanding the data journey
  • Acme e-commerce
  • case study
  • Exploring types of data
  • Elaborating on Google Cloud solutions for data management
  • Data pipelines
  • Data lakes
  • Data warehouses
  • Business intelligence tools
  • Summary
  • Chapter 6: Machine Learning and Artificial Intelligence on Google Cloud
  • AI overview and Google's contribution
  • Considerations when building AI models
  • Defining the problem
  • Collecting the datasets
  • Solve business problems
  • Realize cost savings
  • Hypothetical case study
  • Acme Inc.
  • Summary
  • Chapter 2: The Shift to Public Cloud
  • The value of adopting public cloud
  • Flexibility
  • Scalability
  • Reliability
  • Elasticity
  • Agility
  • Cost
  • The impact of cloud adoption on finance teams
  • Private, public, or hybrid?
  • An introduction to networks
  • Public cloud with Google Cloud
  • Summary
  • Chapter 3: Understanding the Different Cloud Computing Models
  • Introducing cloud hosting models and the shared responsibility model
  • Comparing and contrasting IaaS, PaaS, and SaaS