Google Cloud Digital Leader Certification Training - ITU Online

Google Cloud Digital Leader Certification Training

The Google Cloud Digital Leader Certification is one of Google’s newest certifications. I am really excited by this certification since the certification brings Google to the same table as AWS/Azure when it comes to entry level certifications.

Included In This Course

Google Cloud Digital Leader Certification Training
6 Hrs 46 Min
Videos
80 On-demand Videos
Closed Captions

Closed Captions

Course Topics
5  Topics
Question & Answers
48 Prep Questions
Certificate of Completion

Certificate of Completion

Course Description for Google Cloud Digital Leader Certification Training

The Google Cloud Digital Leader Certification Training is a comprehensive course designed to equip learners with a robust understanding of Google Cloud technologies and services. This course covers essential cloud computing concepts, key characteristics of cloud computing, and the specifics of Google Cloud Platform (GCP), making it ideal for those aiming to gain certification as a Google Cloud Digital Leader. Throughout the course, you will explore various service models, deployment models, and the strategic advantages of adopting cloud computing, particularly within the Google Cloud ecosystem.

In addition to foundational cloud knowledge, the course delves into specific Google Cloud products and services, including Compute Engine, Kubernetes Engine, Cloud Functions, BigQuery, and AI Platform. Learners will also engage with practical demonstrations and hands-on projects to solidify their understanding and gain practical skills. By the end of this training, participants will be well-prepared for the GCP Digital Leader certification exam, equipped with both theoretical knowledge and practical expertise.

What You Will Learn in Google Cloud Digital Leader Certification Training

By enrolling in the Google Cloud Digital Leader Certification Training, you will gain a comprehensive understanding of cloud computing and Google Cloud services. This course is designed to provide you with the skills and knowledge necessary to excel in cloud-related roles and pass the Google Cloud Digital Leader certification exam.

  • Fundamental concepts of cloud computing and essential characteristics.
  • Overview and objectives of Google Cloud Platform (GCP).
  • In-depth knowledge of Google Cloud products and services, including Compute Engine, Kubernetes Engine, and BigQuery.
  • Understanding of service models (IaaS, PaaS, SaaS) and deployment models.
  • Practical insights into cloud infrastructure, hierarchy, and project management.
  • Hands-on experience with GCP tools through demonstrations and projects.
  • Strategies for cost management, including pricing calculators and billing models.
  • Security best practices and compliance resources in Google Cloud.
  • Preparation for the GCP Digital Leader certification exam.

Exam Objectives for Google Cloud Digital Leader Certification

The Google Cloud Digital Leader certification exam is governed by Google Cloud and assesses your ability to understand and utilize Google Cloud technologies. The objectives of the exam are categorized into several key domains:

  • General Cloud Knowledge: Understand the basics of cloud computing, its characteristics, service models, and deployment models.
  • General Google Cloud Knowledge: Gain knowledge of Google Cloud’s infrastructure, services, pricing, and support options.
  • Google Cloud Products and Services: Learn about core Google Cloud services, data management, AI and machine learning offerings, and security practices.

Who This Google Cloud Digital Leader Course is For

This course is ideal for individuals seeking to enhance their cloud computing skills and obtain the Google Cloud Digital Leader certification. It is suitable for:

  • IT professionals looking to expand their knowledge of Google Cloud.
  • Business leaders and decision-makers aiming to leverage cloud technologies for strategic advantages.
  • Individuals preparing for the Google Cloud Digital Leader certification exam.
  • Beginners in cloud computing who want to build a strong foundation in GCP.

Possible Jobs You Can Get With This Google Cloud Digital Leader Certification

Achieving the Google Cloud Digital Leader certification opens up various career opportunities in the rapidly growing field of cloud computing. With this knowledge, you can pursue roles such as:

  • Cloud Solutions Architect
  • Cloud Consultant
  • IT Project Manager
  • Cloud Product Manager
  • Business Analyst in Cloud Computing
  • Cloud Sales Engineer

Average Industry Salaries for People with Google Cloud Digital Leader Skills

Obtaining the Google Cloud Digital Leader certification can significantly enhance your earning potential. Here are some average salary ranges for related positions:

  • Cloud Solutions Architect: $120,000 – $160,000 per year
  • Cloud Consultant: $110,000 – $140,000 per year
  • IT Project Manager: $100,000 – $130,000 per year
  • Cloud Product Manager: $110,000 – $150,000 per year
  • Business Analyst: $80,000 – $110,000 per year
  • Cloud Sales Engineer: $90,000 – $130,000 per year

Get Started Today with Google Cloud Digital Leader Certification Training

Don’t miss out on the opportunity to advance your career in cloud computing with the Google Cloud Digital Leader Certification Training. Enroll today to gain in-depth knowledge of Google Cloud, practical skills through hands-on projects, and the preparation you need to succeed in the certification exam. Start your journey towards becoming a certified Google Cloud Digital Leader and unlock a world of career opportunities.

The course has these exam objectives fully covered. Learn more about Google Cloud Computing services by visiting Google.

Key Term Knowledge Base: Key Terms Related to Google Cloud Digital Leader Certification Training

Understanding the key terms related to Google Cloud Digital Leader Certification is crucial for anyone interested in cloud computing and digital transformation. This knowledge not only enhances your grasp of the course material but also prepares you for effective communication and implementation in the field of cloud technology. Here’s a comprehensive list of essential terms that will aid in your learning and professional development.

TermDefinition
Google Cloud Platform (GCP)A suite of cloud computing services that runs on the same infrastructure that Google uses internally for its end-user products, such as Google Search, Gmail, file storage, and YouTube.
Cloud ComputingThe delivery of different services through the Internet, including data storage, servers, databases, networking, and software.
Digital TransformationThe integration of digital technology into all areas of a business, fundamentally changing how you operate and deliver value to customers.
KubernetesAn open-source system for automating deployment, scaling, and management of containerized applications.
BigQueryA fully-managed, serverless data warehouse that enables scalable analysis over petabytes of data.
Google Compute EngineA component of Google Cloud Platform that provides scalable and flexible virtual machine computing capabilities in the cloud.
Cloud SQLA fully-managed database service that makes it easy to set up, maintain, manage, and administer your relational databases on Google Cloud Platform.
Cloud SpannerA fully managed, mission-critical relational database service that offers transactional consistency at a global scale, schemas, SQL querying, and automatic, synchronous replication for high availability.
Cloud FunctionsA scalable pay-as-you-go functions-as-a-service (FaaS) to run your code with zero server management.
Google Kubernetes Engine (GKE)A managed, production-ready environment for deploying containerized applications.
Cloud StorageGoogle’s object storage service for storing and accessing any amount of data at any time.
Artificial Intelligence (AI)The simulation of human intelligence processes by machines, especially computer systems.
Machine Learning (ML)A type of AI that allows software applications to become more accurate at predicting outcomes without being explicitly programmed to do so.
API (Application Programming Interface)A set of routines, protocols, and tools for building software and applications.
Cloud BigtableA fully-managed, scalable NoSQL database service for large analytical and operational workloads.
Data AnalyticsThe process of examining data sets in order to draw conclusions about the information they contain.
Cloud SDKA set of tools that you can use to manage resources and applications hosted on Google Cloud Platform.
Virtual Machine (VM)An emulation of a computer system that provides the functionality of a physical computer.
ContainersA lightweight, stand-alone, executable package of software that includes everything needed to run an application: code, runtime, system tools, system libraries, and settings.
Infrastructure as a Service (IaaS)Online services that provide high-level APIs used to dereference various low-level details of underlying network infrastructure like physical computing resources, location, data partitioning, scaling, security, backup, etc.
Platform as a Service (PaaS)A category of cloud computing services that provides a platform allowing customers to develop, run, and manage applications without the complexity of building and maintaining the infrastructure typically associated with developing and launching an app.
Software as a Service (SaaS)A software distribution model in which a third-party provider hosts applications and makes them available to customers over the Internet.
Public CloudCloud resources owned and operated by a third-party cloud service provider delivered over the internet.
Private CloudA model of cloud computing where IT services are provisioned over a private IT infrastructure for the dedicated use of a single organization.
Hybrid CloudA computing environment that combines a public cloud and a private cloud by allowing data and applications to be shared between them.
Cloud SecurityA set of policies, controls, procedures, and technologies that work together to protect cloud-based systems, data, and infrastructure.
Data LakeA storage repository that holds a vast amount of raw data in its native format until it is needed.
Serverless ComputingA cloud-computing execution model in which the cloud provider runs the server, and dynamically manages the allocation of machine resources.
DevOpsA set of practices that combines software development (Dev) and IT operations (Ops) aimed at shortening the systems development life cycle and providing continuous delivery with high software quality.
Cloud MigrationThe process of moving data, applications, or other business elements to a cloud computing environment.
Disaster RecoveryStrategies and processes for quickly reestablishing access to applications, data, and IT resources after an outage.
High AvailabilityAn approach to system design that ensures an agreed level of operational performance, usually uptime, for a higher than normal period.
Load BalancingThe process of distributing network traffic across multiple servers to ensure no single server bears too much demand.
ScalabilityThe ability of a system to increase or decrease in performance and cost in response to changes in application and system processing demands.
Multi-tenancyA software architecture in which a single instance of software runs on a server and serves multiple tenants.
Service Level Agreement (SLA)A contract between a service provider and its customer that specifies, usually in measurable terms, what services the service provider will furnish.
Google App EngineA platform for building scalable web applications and mobile backends.
Google Cloud FunctionsEvent-driven serverless compute platform.
Google Cloud RunA managed compute platform that automatically scales your stateless containers.
Google Cloud VMware EngineFully managed, native VMware-based cloud environments.
Google Cloud AnthosA modern application management platform that provides a consistent development and operations experience for cloud and on-prem environments.
Google Cloud FirestoreA NoSQL document database built for automatic scaling, high performance, and ease of application development.
Google Cloud Pub/SubA real-time messaging service that allows you to send and receive messages between independent applications.
Google Cloud BigQueryA fully-managed, serverless data warehouse that enables scalable analysis over petabytes of data.

This list is a starting point for understanding the vast and complex world of Google Cloud and cloud computing. As the field is continually evolving, staying updated with the latest developments and terminology is key to remaining competitive in this dynamic industry.

What is the Google Cloud Digital Leader Certification?

The Google Cloud Digital Leader Certification is a program designed to help individuals develop the skills and knowledge necessary to lead digital transformation initiatives using Google Cloud technologies.

How can I prepare for the Google Cloud Digital Leader Certification exam?

You can prepare for the Google Cloud Digital Leader Certification exam by reviewing the exam guide, taking the recommended courses, and gaining hands-on experience with Google Cloud technologies.

What are the benefits of earning the Google Cloud Digital Leader Certification?

Earning the Google Cloud Digital Leader Certification can help you demonstrate your expertise in leading digital transformation initiatives using Google Cloud technologies, which can lead to career advancement opportunities and increased earning potential.

How long is the Google Cloud Digital Leader Certification valid for?

The Google Cloud Digital Leader Certification is valid for two years from the date you earn it. After two years, you will need to renew your certification to maintain your status as a Google Cloud Certified Digital Leader.

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Google Cloud Digital Leader Course Content

Module 1 - Google Cloud Digital Leader Course Overview

  •    1.0 About Google Cloud Digital Leader
  •    1.1 Course and Instructor Intro
  •    1.2 Course PreReqs
  •    1.3 GCP Certification Overview
  •    1.4 GCP Digital Leader Exam Objectives

Module 2 - General Cloud Knowledge

  •    2.0 General Cloud Knowledge
  •    2.1 Domain Objectives
  •    2.2 Intro to Cloud Computing
  •    2.3 Essential Characteristics of Cloud Computing
  •    2.4 Service Models
  •    2.5 Deployment Models
  •    2.6 Multitenancy
  •    2.7 Resilency
  •    2.8 Replication
  •    2.9 Automation and Orchestration
  •    2.10 Chargeback
  •    2.11 Vendor Lockin
  •    2.12 Cloud Standards
  •    2.13 OpEx, CapEx
  •    2.14 TCO-ROI
  •    2.15 Business Enablers
  •    2.16 Section Summary
  •    2.17 Review Questions

Module 3 - General Google Cloud Knowledge

  •    3.0 General GCP Knowledge
  •    3.1 Domain Objectives
  •    3.2 GCP Overview
  •    3.3 Cloud Infrastructure
  •    3.4 Cloud Hierarchy
  •    3.5 Project Demo
  •    3.6 Whiteboard Hierarchy and Projects
  •    3.7 Service Options
  •    3.8 Demo - Services Overview
  •    3.9 Pricing Calculator
  •    3.10 Demo - Pricing Calculator
  •    3.11 Billing models and Discounts
  •    3.12 Demo Billing
  •    3.13 Compliance Resources
  •    3.14 Demo - Compliance Reports Manager
  •    3.15 Support Options
  •    3.16 Service Level Agreement (SLA)
  •    3.17 Google Cloud Framework and Maturity Model
  •    3.18 Demo - Maturity Assessment
  •    3.19 Access to GCP
  •    3.20 Demo - GCP ACCESS
  •    3.21 Section Summary
  •    3.22 Review Questions

Module 4 - Google Cloud Products and Services

  •    4.0 Google Cloud Products and Services
  •    4.1 Domain Objectives
  •    4.2 Core Services
  •    4.3 Google Compute Engine, Google Cloud VMware Engine, and Bare Metal
  •    4.4 Compute Storage and Disk Options
  •    4.5 App Engine, Google Cloud Functions, and Cloud Run
  •    4.6 Google Kubernetes Engine
  •    4.7 Demo Compute Services
  •    4.8 Container registry
  •    4.9 Cost and Performance Tradeoffs of Scale To Zero
  •    4.10 Database Options - Cloud SQL, Cloud Spanner, Cloud Bigtable, BigQuery
  •    4.11 Demo - Database Offerings
  •    4.12 Vision API, AI Platform, TPUs
  •    4.13 Pre Trained Models
  •    4.14 Data Pipeline Offerings
  •    4.15 Data Ingestion Options
  •    4.16 Software Development Life Cycle (SDLC)
  •    4.17 Visibility and Alerting Offerings
  •    4.18 Identify Data Migration Options
  •    4.19 Compute VM Migration
  •    4.20 Whiteboard - Migrations
  •    4.21 Application Modernization
  •    4.22 Define Software-Defined WAN (SD-WAN)
  •    4.23 Connectivity Options
  •    4.24 Whiteboard - Connectivity
  •    4.25 IAM and Security
  •    4.26 Whiteboard Cloud Architecture
  •    4.27 Section Summary
  •    4.28 Review Questions

Module 5 - Google Cloud Digital Leader Course Closeout

  •    5.0 Google Cloud Digital Leader Course Closeout
  •    5.1 Course Review
  •    5.2 Resources
  •    5.3 Exam Overview
  •    5.4 Course Closeout
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4.8
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    good

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  5. A

    Smooth delivery and easy access to LMS. Good to see that the LMS offers progress tracking. Would be great if badges were offered on completion of courses to share via Credly to future employers.

Your Training Instructor

Joe Holbrook

Joe Holbrook

Independent Trainer | Consultant | Author

Joe Holbrook has been in the IT field since 1993 when he was exposed to several HPUX systems on board a U.S. Navy flagship. He has migrated from UNIX world to Storage Area Networking(SAN), Enterprise Virtualization, Cloud Architectures, and now specializing in Blockchain and Cryptocurrency. He previously worked for numerous companies like HDS, 3PAR, Brocade, HP, EMC, Northrup Grumman, ViON, Ibasis.net, Chematch.com, SAIC and Siemens Nixdorf.

Currently he works as a Subject Matter Expert specializing in Enterprise Cloud and Blockchain Technologies. He is the CLO of Techcommanders.com Elearning and consulting, He holds numerous IT certifications from AWS, GCP, HDS and other organizations.

He is an avid speaker and well-known course author residing in Jacksonville, Florida.

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