Overview
This Architecting with Google Kubernetes Engine - Workloads course offered by Coursera in partnership with Google Cloud is the second course of the Architecting with Google Kubernetes Engine series. After completing this course, enroll in the Architecting with Google Kubernetes Engine: Production course.
What you will learn
Understand the role of the kubectl command
Create and use deployments, and create run jobs and cron jobs
Create services and use load balancers to expose services to external clients
Understand and work with different Kubernetes storage abstractions
Programme Structure
Courses include:
- Kubernetes Operations
- Deployments, Jobs, and Scaling
- Google Kubernetes Engine (GKE) Networking
- Persistent Data and Storage
Key information
Duration
- Part-time
- 1 days
Start dates & application deadlines
Language
Delivered
- Self-paced
Campus Location
- Mountain View, United States
Disciplines
Architecture Computer Sciences Web Technologies & Cloud Computing View 412 other Short Courses in Web Technologies & Cloud Computing in United StatesWhat students do after studying
Academic requirements
We are not aware of any specific GRE, GMAT or GPA grading score requirements for this programme.
English requirements
We are not aware of any English requirements for this programme.
Other requirements
General requirements
- Intermediate Level
- To obtain additional information about the programme, we kindly suggest that you visit the programme website, where you can find further details and relevant resources.
Tuition Fees
-
International Applies to you
Applies to youNon-residentsFree - Out-of-StateFree
Additional Details
Audit: free access to course materials except graded items|Certificate: a trusted way to showcase your skills|A year of unlimited access with Coursera Plus $199
Funding
Coursera provides financial aid to learners who cannot afford the fee. Apply for it by clicking on the Financial Aid link beneath the "Enroll" button on the left. You'll be prompted to complete an application and will be notified if you are approved. You'll need to complete this step for each course in the Specialization, including the Capstone Project.