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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.
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Course Description
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. The Google Cloud Digital Leader Certification Training course on ITU Online focuses on equipping professionals with knowledge about Google Cloud technologies and digital transformation. It covers general cloud concepts, Google Cloud-specific knowledge, and detailed information about Google Cloud products and services. This certification is aimed at business professionals and does not require prior hands-on experience with Google Cloud. The course aims to develop skills necessary for leading digital transformation initiatives using Google Cloud technologies.
The Google Cloud Platform Cloud Digital Leader Certification, pivotal in cloud education and digital leadership, is targeted towards business professionals such as marketers, C-Level executives, and sales teams. A Cloud Digital Leader can articulate the capabilities of Google Cloud’s core products and services, emphasizing cloud innovation and digital strategy, and demonstrate how they benefit organizations. This certification enables one to describe common business use cases and how cloud solutions and digital technologies support an enterprise.
After taking our Google Cloud Digital Leader Certification course, you will fully understand how to perform the following tasks or engage in informed discussions:
The Google Cloud Digital Leader certification exam is job-role agnostic and focuses on cloud strategy and leadership, and does not require hands-on experience with Google Cloud.
The Cloud Digital Leader Certification exam offered by Google Cloud Platform (GCP) focuses on three key areas of knowledge. Below is an expansion on each of these areas:
This area covers the foundational concepts and principles of cloud computing. It’s crucial for understanding how cloud technologies and digital infrastructure work in general, not just within the Google Cloud ecosystem. Key topics include:
This section delves into the specifics of Google Cloud, providing a broad overview of what makes Google’s cloud platform unique, crucial for digital strategy and cloud leadership. Topics include:
This area focuses on the various products and services offered by Google Cloud. It includes:
In preparation for the Cloud Digital Leader Certification exam, it’s crucial to have a balanced understanding of these three areas, as they collectively represent the breadth of knowledge expected from a digital leader in the cloud domain.
The course has these exam objectives fully covered. Learn more about Google Cloud Computing services by visiting Google.
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.
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.
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.
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.
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.
Course Outline
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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