Online Course – Google Advanced Kubernetes Certified Professional Internship

Learn how to master Kubernetes to improve your cluster performance. Discover advanced techniques for resource management, load balancing, and improved deployment processes.

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קורס אונליין - התמחות מקצועית מוסמכת ב-Kubernetes מתקדמת של Google

Professional Certificate

Advanced

No prior knowledge required

Time to complete the course

7-day free trial

No unnecessary risks

Skills you will acquire in the course

  • Advanced skills in Kubernetes
  • Container best practices
  • Streamlining processes in complex situations
  • Ability to take tests without a grade
  • Participation in interactive activities
  • Managing discussion groups with colleagues
  • Performing graded module tests
  • Preparation for the final exam for each course

What you will learn in the course

Courses for which the course is suitable

  • Kubernetes administrators
  • DevOps Engineers
  • Developers
  • Cloud Architects
  • IT professionals

Internship – Series of 3 courses

Advanced Kubernetes Course

This course is designed for experienced Kubernetes administrators, DevOps engineers, developers, cloud architects, and IT professionals looking to upgrade their expertise. Participants will explore advanced Kubernetes topics, best practices, and process optimization in complex container orchestration situations.

Learners will acquire skills and knowledge important for success in the field, with industry-leading insights and expertise.

Hands-on Learning Project

During this internship, learners will test their new knowledge through:

  • Ungraded tests
  • Interactive activities
  • Discussion groups with peers
  • Graded module tests
  • Final exam for each course

Details of the courses that make up the specialization

Advanced Kubernetes and networking deployment strategies

Course 1: Kubernetes Deployment Strategies

  • Duration: 22 hours

What you’ll learn

  • Analyzing the advantages and disadvantages of different deployment strategies
  • Troubleshooting common deployment and networking issues

Skills you will acquire

  • Network configuration optimization
  • Kubernetes Deployment Strategies
  • Network policy implementation
  • Troubleshooting

Course 2: Securing, Monitoring, and Scaling Kubernetes Clusters

  • Duration: 12 hours

What you’ll learn

  • Understanding Kubernetes cluster security, monitoring, and management
  • Efficiently scaling Kubernetes clusters

After completing the course, you will be able to:

  • Explain the role of role-based access control (RBAC)
  • Identify the importance of network policies in cluster security
  • Evaluate the effectiveness of RBAC and network policies
  • Identify key metrics and indicators for monitoring Kubernetes clusters
  • Compare popular Kubernetes monitoring tools
  • Analyze monitoring data to identify and resolve cluster issues
  • Explain the importance of resource quotas in managing cluster resources.
  • Describe resource quotas for efficient resource allocation
  • Summarize the role of automatic expansion in managing cluster expansion

Skills you will acquire

  • RBAC policy
  • Kubernetes cluster expansion
  • Troubleshooting
  • Monitoring Solution Strategies

Course 3: Kubernetes Integration and Advanced Orchestration Techniques

  • Duration: 11 hours

What you’ll learn

  • Kubernetes integration with CI/CD
  • Advanced orchestration techniques

After completing the course, you will be able to:

  • Describe the importance of CI/CD in Kubernetes environments
  • Explain the role of Kubernetes in CI/CD pipelines
  • Design and implement CI/CD pipelines for Kubernetes applications
  • Evaluate the effectiveness of CI/CD pipelines
  • Explain the benefits of Helm for package management in Kubernetes
  • Create and manage Helm charts for applications in Kubernetes
  • Explore the role and benefits of Kubernetes operators and custom controllers
  • Explain the GitOps workflow
  • Integrate GitOps workflows into Kubernetes cluster management

Skills you will acquire

  • Implementing CI/CD pipelines
  • Design and implementation of custom controllers
  • Helm Management in Kubernetes
  • Advanced Kubernetes cluster management
  • Create and manage Helm charts

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