Course Overview
The essential terms and concepts for using Google Cloud are introduced in Google Cloud Fundamentals for AWS Professionals. 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.
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Audience Profile
- Individuals planning to use and deploy applications and create application environments on Google Cloud.
- Professionals in systems operations, solution architects, Google Cloud beginners, and developers.
- Executives and commercial decision-makers who are assessing Google Cloud's ability to meet their demands.
Learning Objectives
- Identifying the purpose and value of Google Cloud products and services.
- Choose from and utilise App Engine, Google Kubernetes Engine, and Compute Engine as your application deployment environments on Google Cloud.
- The storage solutions offered by Google Cloud include Cloud Storage, Cloud SQL, Cloud Bigtable, and Firestore.
- Utilizing Google Cloud services.
Content Outline
Welcome to the Google Cloud Fundamentals for AWS Professionals course! This part also gives you an overview of the objectives and structure of the course.
Some of the most essential benefits of using Google Cloud are listed in this section. Here, we discuss the infrastructure of the Google network and the distinctions between platform as a service and infrastructure as a service (IaaS) (PaaS).
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.
This course section explores how Google Compute Engine works, focusing on virtual networking.
Five essential Google Cloud storage products are highlighted in this course section: Cloud Storage, Cloud Bigtable, Cloud SQL, Cloud Spanner, and Firestore.
This lecture examines containers and the management of them using Google Kubernetes Engine and Kubernetes.
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.
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.
This section emphasises 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.
In this last section, we review what's been presented in this course and discuss the following steps to continue your cloud learning journey.
FAQs
A: The vocabulary and fundamental ideas for using Google Cloud are 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.
A: AWS is clearly ahead in terms of services, as there are far more services offered by AWS than there are by GCP. Services available on AWS are comprehensive. These various services are well integrated and provide a complete cloud service.
A: Radiant has highly intensive selection criteria for Technology Trainers & Consultants who deliver training programs. Our trainers & consultants undergo a rigorous technical and behavioral interview and assessment process before they are onboarded in the company.
Our Technology experts/trainers & consultants carry deep-dive knowledge in the technical subject & are certified by the OEM.
Our training programs are practically oriented with 70% – 80% hands-on training technology tools. Our training program focuses on one-on-one interaction with each participant, the latest content in the curriculum, real-time projects, and case studies during the training program.
Our faculty will quickly provide you with the knowledge of each course from the fundamental level, and you are free to ask your doubts at any time from your respective faculty.
Our trainers have the patience and ability to explain complex concepts simplistically with depth and width of knowledge.
To ensure quality learning, we provide support sessions even after the training program.
A: To attend the training session, you should have operational Desktops or Laptops with the required specification, along with a good internet connection to access the labs.
A: We recommend you attend the live session to practice & clarify the doubts instantly and 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 and NOT for distribution or any commercial use.
A: Radiant Techlearning has a data center containing a 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 and in any time zone.
A: The learners will be enthralled as we engage them in the natural world and Oriented industry projects during the training program. These projects will improve your skills and knowledge and give you a better experience. These real-time projects will help you a lot in your future tasks and assignments