- Course Introduction
Intermediate
Online
5 Weeks
Quick facts
particular | details | |
---|---|---|
Medium of instructions
English
|
Mode of learning
Self study
|
Mode of Delivery
Video and Text Based
|
Course overview
Google Kubernetes Engine is one of the fastest developing platforms for containerized workloads and services and as such happens to be an amazing skill to have for an aspirant of the Cyber World.
Architecting with Google’s Kubernetes Engine: Workloads is the perfect course as it not only teaches candidates how to create and manage deployments but also because what better source to learn this from other than Google Cloud itself. This course | concentrates on building infrastructures with Google Kubernetes Engine and give it persistent workload storage.
The course introduces containerised applications of the GKE to the candidates as well as many other services offered by Google Cloud to give the candidates the best of any programme. Although the course is online, it does offer hands-on lab experience to all the candidates to formulate their own solutions to deployment elements, security management, resource monitoring, access management, resource management and much more.
The highlights
- Completely online
- Seek Financial assistance
- Offered by Google Cloud
- 15 hours approximately needed
Program offerings
- Graded quizzes
- Graded assignments
- Hands on lab experience
- Self paced learning
- Readings
- Practice exercises
Course and certificate fees
Architecting with Google’s Kubernetes Engine: Workloads Fee Structure
Course name | Fee in INR |
Architecting with Google’s Kubernetes Engine: Workloads (1 month) | Rs. 4,015 |
Architecting with Google’s Kubernetes Engine: Workloads (3 months) | Rs. 8,031 |
Architecting with Google’s Kubernetes Engine: Workloads (6 months) | Rs. 12,046 |
certificate availability
certificate providing authority
Eligibility criteria
Certification Qualifying Details
Candidates pursuing Architecting with Google’s Kubernetes Engine: Workloads will be given a certificate of completion if and only if they successfully clear the programme and submit all the assignments.
What you will learn
Once the course has been completed, candidates will have absolute mastery over the below-given topics which will help them massively in their careers
- They will learn the know-how behind Kubectl commands and Kubernetes Operations
- They will learn how to create deployments and update them to match the user's needs.
- They will learn about services and scaling node pools and downscaling
- Getting software into your cluster will be one of the practical skills that will help the candidates.
- They will also learn about Ingress resource and network security
- They will learn the various types of volumes as well as dealing with Persistent Volumes.
Admission details
Filling the form
Interested candidates who wish to join Architecting with Google’s Kubernetes Engine: Workloads have to go through the following application process.
Step 1: Visit the course page.
Step 2: If the candidate needs to take part in the Financial Aid services, click on Financial Aid.
Step 3: A form will appear wherein, candidates need to answer some questions that will determine their eligibility.
Step 4: If the candidates do not need Financial Aid, they can simply click on Enrol Now.
Step 5: After that, candidates will be directed to the Free trial for the course.
Step 6: In order to access the free trial, candidates have to fill in their bank details. Though, they will not be charged for as long as the Free trial lasts.
The syllabus
Week 1: Course Introduction
Video
Readings
- Welcome and getting started guide
- How to send feedback
Week 1: Kubernetes Operations
Videos
- Introduction
- The kubectl Command
- Introspection
- Lab Intro
- Getting Started with Google Cloud and Qwiklabs
- Lab Intro
- Summary
Practice exercises
- The kubectl Command
- Introspection
- Kubernetes Operations
Week 1: Deployments, Jobs, and Scaling
Videos
- Module Introduction
- Deployments
- Ways to Create Deployments
- Services and Scaling
- Updating Deployments
- Rolling Updates
- Blue-Green Deployments
- Canary Deployments
- Managing Deployments
- Lab Intro
- Jobs and CronJobs
- Parallel Jobs
- CronJobs
- Lab Intro
- Cluster Scaling
- Downscaling
- Node Pools
- Controlling Pod Placement
- Affinity and Anti-Affinity
- Pod Placement Example
- Taints and Tolerations
- Getting software into your cluster
- Lab Intro
- Summary
Practice exercises
- Deployments
- Updating Deployments
- Jobs
- Cluster Scaling
- Controlling Pod Placement
- Deployments, Jobs and Scaling
Week 1: Google Kubernetes Engine (GKE) Networking
Videos
- Introduction
- Pod Networking
- Services
- Finding Services
- Service Types and Load Balancers
- How Load Balancers work
- Ingress Resource
- Container-Native Load Balancing
- Network Security
- Lab Intro
- Lab Intro
- Summary
Reading
- Table: Load balancing objects in GKE
Practice exercises
- Pod Networking
- Services
- Service Types
- Ingress
- Network Security
- Google Kubernetes Engine Networking
Week 1: Persistent Data and Storage
Videos
- Introduction
- Volumes
- Volume types
- Volume types 2
- The PersistentVolume abstraction
- More on PersistentVolumes
- StatefulSets
- Lab Intro
- ConfigMaps
- Secrets
- Lab Intro
- Summary
Reading
- Next steps
Practice exercises
- Volumes
- StatefulSets
- ConfigMaps
- Secrets
- Persistent Data and Storage
Scholarship Details
Coursera provides Financial Aid services to candidates who cannot afford to pay for the programme and are interested in the course.
How it helps
The benefits of pursuing Architecting with Google’s Kubernetes Engine: Workloads course lie in a wide variety and, as the Cyber World reaches forward with time, the benefits are only expected to go forward as well. More than two-thirds of the students who took this course began their new careers after completing it while all others received a recognisable career benefit with promotions and pay raises.
The course has been designed with a mindset to resolve all the issues faced by the candidates and cater to a single one of their doubts so as to leave them as the masters of the course. Google Kubernetes Engine will come in very handy to the candidates and it’s ensured to open a number of doors for the students.
FAQs
Unfortunately, this course does not offer the audited version to candidates where they could access the course materials for free but not be able to get certificates.
The free trial has been offered for a total of 7 days. If the candidates don’t find the course as per their taste, they can cancel their subscription at this time as to not spend any money.
The course is on an intermediate level for students. If the candidates wish to begin with the beginner’s level, they can start with the first course of the specialisation.
Coursera Plus offers unlimited access to almost all of its courses, programmes, specialisations, complete with all their contents, assignments and even self-paced learning while saving money.
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