- Course Introduction
Intermediate
Online
6 Weeks
Quick facts
particular | details | |
---|---|---|
Medium of instructions
English
|
Mode of learning
Self study
|
Mode of Delivery
Video and Text Based
|
Course overview
In the present era of booming computer technology where there is an ever-increasing demand for data storage to manage, deploy, and run applications and software. As Kubernetes is the software that is available in open-source, it can be used to run the applications that are containerized without making any changes in the operational tools. The programme Getting Started with Google Kubernetes Engine provides understanding to the participants about the Docker container and storing the workload in it. It also provides insight to station the Docker containers to the Kubernetes cluster supplied by the Google Kubernetes engine and handling the increased traffic by scaling the workload.
The entrant will be introduced to the basic working of Google Container Registry along with the basics of containers and Docker. They will be deploying the applications having microservices in a cluster of Kubernetes. The participants will also get an insight to deploy novel code in the cluster of Kubernetes to dispense the updates of the application. Also, they will learn how to create a continuous delivery pipeline.
The highlights
- Professional instructors from top universities and companies.
- Offered by Google cloud
- The hands-on learning experience of the projects.
- The flexibility of the course completion
- Online shareable certificate
- Reading material and videos availability
- 11 hours course duration
Program offerings
- Pre recorded video
- Reading materials
- Exercises
Course and certificate fees
To get started with the course, subscribe to Coursera. You will be provided with a 7-days free trial and then continue by paying Rs.4,015 per month.
Fee details for Getting Started with Google Kubernetes Engine programme
Course name | Fee in INR |
Audit mode | Free |
Getting Started with Google Kubernetes Engine (1 month) | Rs. 4,015 |
Getting Started with Google Kubernetes Engine (3 months) | Rs. 8,031 |
Getting Started with Google Kubernetes Engine (6 months) | Rs. 12,046 |
certificate availability
certificate providing authority
Eligibility criteria
Certification Qualifying Details
To get the certificate of completion, a candidate needs to complete the entire programme.
What you will learn
After completion of the Getting Started with Google Kubernetes Engine programme the participants will become proficient in the following skills:
- Learn to manage the workloads in the Docker container and to containerize it.
- Understand how to scale the workloads to elevate the traffic and station them on the Kubernetes cluster offered by Google Kubernetes Engine.
- Get a deep insight into Jenkins software.
- Get acquainted with the delivery pipeline.
Admission details
Step 1: Go to the official site of Coursera.
Step 2: Search the course Getting Started with Google Kubernetes Engine.
Step 3: Click on ‘Enroll for free to get started with 7-days free trial having complete access to the course materials.
Step 4: A pop-up window containing the information and policy will open. Go through it and click on ‘Start free trial’.
Step 5: You will be asked for the details like Name on the card, card number, expiration date, CVV, and name of the country.
Step 6: Enter the details and get started with a free trial of 7 days.
The syllabus
Week 1: Course Introduction
Video
Week 1: Introduction to Google Cloud
Videos
- Introduction
- Cloud Computing and Google Cloud
- Resource Management
- Billing
- Interacting with Google Cloud
- Lab Intro
- Getting Started with Google Cloud Platform and Qwiklabs
- Lab solution
- Summary
Reading
- Computing Options
Practice Exercises
- Cloud Computing and Google Cloud
- Resource Management
- Billing
- Interacting with Google Cloud
- Introduction to Google Cloud
Week 1: Introduction to Containers and Kubernetes
Videos
- Introduction
- Introduction to Containers
- Containers and Container Images
- Lab Intro
- Lab Solution
- Introduction to Kubernetes
- Introduction to Google Kubernetes Engine
- Compute Options Detail
- Summary
Practice Exercises
- Introduction to Containers
- Containers and Container Images
- Introduction to Kubernetes
- Introduction to Google Kubernetes Engine
- Containers and Kubernetes in Google Cloud
Week 1: Kubernetes Architecture
Videos
- Introduction
- Kubernetes Concepts
- Kubernetes Control Plane
- Google Kubernetes Engine Concepts
- Kubernetes Object Management
- Lab Intro
- Lab solution
- Migrate for Anthos introduction
- Migrate for Anthos Architecture
- Migration Path
- Migrate for Anthos Installation
- Summary
Readings
- A note about Deployments and ReplicaSets
- A note about Services
- Controller objects to know about
Practice Exercises
- Kubernetes Concepts
- Kubernetes Control Plane
- Google Kubernetes Engine Concepts
- Kubernetes Object Management
- Kubernetes Controller Objects
- Kubernetes Architecture
Week 1: Introduction to Kubernetes Workloads
Videos
- Introduction
- The kubectl Command
- Deployments
- Ways to Create Deployments
- Services and Scaling
- Updating Deployments
- Blue-Green Deployments
- Canary Deployments
- Managing Deployments
- Lab Intro
- Pod Networking
- Volumes
- Volume Types
- The PersistentVolume abstraction
- Lab Intro
- Summary
Evaluation process
The assessment of the course will be in the form of quizzes.
How it helps
In present times, Data management and storage is most important and has always been a troubleshoot for software engineers. At times, the challenge is faced in managing data, deploying it to make it run in software and application. Kubernetes have the provision of containerizing the data on the open-source platform.
In the present era of booming computer technology where there is an increasing demand for data storage to manage, deploy, and run applications and software. As Kubernetes is the software that is available in open-source, it can be used to run the applications that are containerized without making any changes in the operational tools.
By enrolling in the programme the participant will get a deep understanding of the working of the Docker container and workload management in the Docker containers.
They will be able to scale the workload and deploy it to the Kubernetes cluster. The software engineers knowing Google Kubernetes engine and Jenkins software will be able to complete their projects and assignments of application development at a faster pace. They will also get expertise in managing the troubleshoot during software delivery.
FAQs
One can have a boost in the career in terms of position and pay scale. Reviews from past learners depict that 28% of candidates got an opportunity to start a novel career, 33% of candidates received tangible benefits in their profession, and 18% of candidates enjoyed promotion and increased pay scale.
The teaching methods include projects and quizzes. Also, the participants will have access to reading material and pre-recorded videos.
The participant can learn the course for free by auditing the course. By doing so, they will be able to access the course materials. However, there will be no provision of assignments that are used for grading and Certificate after completion of the course.
The entrant can learn at their own pace as the deadlines for the course completion are flexible. They can also reset and reschedule the set deadlines and schedule of learning as per their feasibility.
The subscription is charged every month. After the completion of 7 days free trial, if the participant fails to cancel the subscription after 7 days, there will be a deduction of monthly fees which won’t be refunded at any cost. However, they can cancel the subscription at any point in time to stop the deduction of the following month.
Yes, the participant can take up more than one course simultaneously.
The pre-recorded videos are in English only. However, there is a provision of subtitles in Japanese, Spanish, and English language.
The course is being taught by professionals working in top universities and companies.
The participant will be given a certificate that can be shared online in the resume and LinkedIn.
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