Google Cloud Fundamentals: Core Infrastructure
The vocabulary and fundamental ideas for using Google Cloud have been introduced in Google Cloud Fundamentals: Core Infrastructure. This course introduces and contrasts many of Google Cloud's computing and storage services, as well as essential resource and policy management tools, through videos and practical exercises.
Duration: 1 Days
- Determine the function and worth of the products and services offered by Google Cloud.
- Utilize Google Cloud services
- Choose from and utilize App Engine, Google Kubernetes Engine, and Compute Engine as your application deployment environments on Google Cloud.
- Choose from and utilize Cloud Storage, Cloud SQL, Cloud Bigtable, and Firestore as your Google Cloud storage options.
- Determine many possibilities for constructing machine learning applications on Google Cloud.
- Describe the main phases in a machine learning workflow using Vertex AI.
- Build a machine learning pipeline using AutoML.
- Those who intend to set up application environments and deploy applications on Google Cloud.
- Professionals in systems operations, solution architects, Google Cloud beginners, and developers.
- Business executives and decision-makers were assessing Google Cloud's ability to meet their needs.
Module 1: Course Introduction
Welcome to the Google Cloud Fundamentals: Core Infrastructure course! This section also provides an overview of the course's objectives and structure.
Module 2: Introducing Google Cloud
Some of the essential advantages of using Google Cloud are listed in this section. Here, we discuss the components of Google's network infrastructure and contrast platform-as-a-service (PaaS) with infrastructure-as-a-service (IaaS) (PaaS).
Module 3: Resources and Access in the Cloud
This section examines how resources are coordinated with projects and how Identity and Access Management, a tool, is used to distribute access to those resources with the appropriate workforce members (IAM). This section also identifies many techniques to communicate with Google Cloud.
Module 4: Virtual Machines and Networks in the Cloud
This course section explores how Google Compute Engine works, focusing on virtual networking.
Module 5: Storage in the Cloud
The five primary storage services offered by Google Cloud are highlighted in this course section: Cloud Storage, Cloud Bigtable, Cloud SQL, Cloud Spanner, and Firestore.
Module 6: Containers in the Cloud
This lesson examines containers and their management of them using Google Kubernetes Engine and Kubernetes.
Module 7: Applications in the Cloud
This section of the course focuses on developing applications in the Cloud. Here, we'll explore App Engine, two API management tools–Apigee Edge and Cloud Endpoints–and Cloud Run.
Module 8: Developing and Deploying in the Cloud
This section examines the development tools offered by Google Cloud, such as Terraform, Cloud Functions, and Cloud Source Repositories. Infrastructure as code deployment is also covered in this section.
Module 9: Logging and Monitoring in the Cloud
This section emphasizes the value of tracking product dependability performance before defining service level objectives, service level indicators, and service level agreements (SLAs). The function of integrated monitoring, logging, alerting, and debugging is also examined.
Module 8: Course Summary
In this final section, we review what's been presented in this course and discuss the following steps to continue your cloud learning journey.
Q: What is the use of APIs in cloud services?
A: API stands for application programming interface, and it is helpful in cloud platforms as:-
- It eliminates the requirement to write the fully-fledged programs
- It provides instructions to make communication accessible between one or more applications
- It allows the easy making of applications and links the cloud services with other systems
Q: What are the business benefits involved in cloud architecture?
A: The benefits involved in cloud architecture is
- Zero infrastructure investment
- Just in time infrastructure
- More efficient resource utilization
Q: What are the characteristics of cloud architecture that separate it from a traditional one?
A: Some characteristics make cloud architecture above from traditional architecture and i.e.
- According to the demand, cloud architecture provides the hardware need
- Cloud architecture can scale the resource on demand
- Cloud architecture can manage and handle dynamic workloads without failure.
Q: How do you build a cloud infrastructure?
A: Users have to do the following steps to build a cloud infrastructure:-
- The first user should decide which technology will be the basis for their on-demand application infrastructure.
- Determine what delivery infrastructure user will be used to abstract the application infrastructure.
- Prepare the network infrastructure.
- Provide visibility and automation of management tasks.
Q: What is the infrastructure required to attend your training program?
A: To attend the training session, you should have operational Desktops or Laptops with the required specification and a good internet connection to access the labs.
Q: What if I miss a class on a particular day?
A: We would always recommend you attend the live session to practice & clarify the doubts instantly & get more value from your investment. However, if, due to some contingency, you have to skip the class, Radiant Techlearning will help you with the recorded session of that particular day. However, those recorded sessions are not meant only for personal consumption & NOT for distribution or commercial use.
Q: How will I be accessing the labs?
A: Radiant Techlearning has a data center containing the Virtual Training environment for participants' hand-on-practice. Participants can easily access these labs over Cloud with the help of a remote desktop connection. Radiant virtual labs allow you to learn from anywhere in the world & in any time zone.
Q: What kind of projects are included as a part of training?
A: The learners will be enthralled as we engage them the real-world & industry Oriented projects during the training program. These projects will improve your skills & knowledge & you will gain a better experience. These real-time projects will help you a lot in your future tasks & assignments.