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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

6 Hrs 54 Min

80 On-demand Videos

Closed Captions

5 Topics

48 Prep Questions

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.

Term	Definition
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 Computing	The delivery of different services through the Internet, including data storage, servers, databases, networking, and software.
Digital Transformation	The integration of digital technology into all areas of a business, fundamentally changing how you operate and deliver value to customers.
Kubernetes	An open-source system for automating deployment, scaling, and management of containerized applications.
BigQuery	A fully-managed, serverless data warehouse that enables scalable analysis over petabytes of data.
Google Compute Engine	A component of Google Cloud Platform that provides scalable and flexible virtual machine computing capabilities in the cloud.
Cloud SQL	A fully-managed database service that makes it easy to set up, maintain, manage, and administer your relational databases on Google Cloud Platform.
Cloud Spanner	A 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 Functions	A 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 Storage	Google’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 Bigtable	A fully-managed, scalable NoSQL database service for large analytical and operational workloads.
Data Analytics	The process of examining data sets in order to draw conclusions about the information they contain.
Cloud SDK	A 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.
Containers	A 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 Cloud	Cloud resources owned and operated by a third-party cloud service provider delivered over the internet.
Private Cloud	A model of cloud computing where IT services are provisioned over a private IT infrastructure for the dedicated use of a single organization.
Hybrid Cloud	A computing environment that combines a public cloud and a private cloud by allowing data and applications to be shared between them.
Cloud Security	A set of policies, controls, procedures, and technologies that work together to protect cloud-based systems, data, and infrastructure.
Data Lake	A storage repository that holds a vast amount of raw data in its native format until it is needed.
Serverless Computing	A cloud-computing execution model in which the cloud provider runs the server, and dynamically manages the allocation of machine resources.
DevOps	A 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 Migration	The process of moving data, applications, or other business elements to a cloud computing environment.
Disaster Recovery	Strategies and processes for quickly reestablishing access to applications, data, and IT resources after an outage.
High Availability	An approach to system design that ensures an agreed level of operational performance, usually uptime, for a higher than normal period.
Load Balancing	The process of distributing network traffic across multiple servers to ensure no single server bears too much demand.
Scalability	The ability of a system to increase or decrease in performance and cost in response to changes in application and system processing demands.
Multi-tenancy	A 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 Engine	A platform for building scalable web applications and mobile backends.
Google Cloud Functions	Event-driven serverless compute platform.
Google Cloud Run	A managed compute platform that automatically scales your stateless containers.
Google Cloud VMware Engine	Fully managed, native VMware-based cloud environments.
Google Cloud Anthos	A modern application management platform that provides a consistent development and operations experience for cloud and on-prem environments.
Google Cloud Firestore	A NoSQL document database built for automatic scaling, high performance, and ease of application development.
Google Cloud Pub/Sub	A real-time messaging service that allows you to send and receive messages between independent applications.
Google Cloud BigQuery	A 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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Your Achievement

Upon completion of your training, you’ll receive a personalized certificate of completion to help validate to others your new skills.

Google Cloud Digital Leader Course Content

Module 1 - Google Cloud Digital Leader Course Overview

Module 2 - General Cloud Knowledge

Module 3 - General Google Cloud Knowledge

Module 4 - Google Cloud Products and Services

Module 5 - Google Cloud Digital Leader Course Closeout

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4.8

Based on 81 reviews

5 star	82	82%
4 star	17	17%
3 star	1	1%
2 star		0%
1 star		0%

1-5 of 81 reviews

Siddipalli JAGADEESH

April 2, 2024

Rated 5 out of 5
ITU Online
good
Abeer AL Hashmi

April 1, 2024

Rated 5 out of 5
ITU Online
Kevin

March 28, 2024

Rated 5 out of 5
ITU Online
Brian ORourke

March 19, 2024

Rated 5 out of 5
ITU Online
Azman

March 14, 2024

Rated 5 out of 5
ITU Online
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

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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Google Cloud Digital Leader Certification Training

Test Your Knowledge About:Google Cloud Digital Leader

A customer has contacted you about migrating to Google Cloud. The customer would like to migrate their data from on-premises as soon as possible. They don’t have the budget to rewrite code, and they want the most direct route. What migration option should you suggest to the customer? (Select one)

You recently used Compute Engine to host the organization's website, which contains vital employee data. The management requests that you prevent the VM from being unintentionally deleted. Which of the following solutions would you recommend?

You are working in a financial institution where the team is looking to run specialized loads that include virtualization as well as low-level access to the VM. Which of the below resources would you suggest to the customer?

Which of the below listed is not a part of Google Cloud Resource Hierarchy?

A Media customer is building a smart CMS and they are looking for a solution that validates if any image uploaded by the author has any logos which might cause copyright issues. Which one of the below Google Cloud offerings can be leveraged to build the solution?