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About Course

The DevOps & Automation course is designed to help you integrate development and operations teams to automate and improve software delivery. You will start by learning the core concepts of DevOps and then move on to advanced topics such as infrastructure as code (IaC), automation tools, CI/CD pipelines, and containerization. By the end of the course, you will be able to automate tasks, optimize workflows, and implement DevOps practices in real-world projects, ensuring faster, more reliable software releases.

What Will You Learn?

  • Understand DevOps principles and implement CI/CD pipelines.
  • Use tools like Docker and Kubernetes for containerization and orchestration.
  • Automate infrastructure using Terraform and Ansible.
  • Set up monitoring and logging systems with Prometheus and the ELK stack.
  • Plus, gain hands-on experience building and automating end-to-end DevOps pipelines.

Course Content

Introduction to DevOps
10 Lectures . 00h:00min

  • Introduction to DevOps
    00:00
  • Version Control and Collaboration with Git
    00:00
  • Continuous Integration (CI) with Jenkins
    00:00
  • Continuous Delivery (CD) and Deployment Pipelines
  • Containerization with Docker
  • Orchestration with Kubernetes
  • Infrastructure as Code (IaC) with Terraform
  • Configuration Management with Ansible
  • Monitoring and Logging with Prometheus and ELK Stack
  • Final DevOps Project: Automating a Complete DevOps Pipeline
M
main_author
4.50
(6 Ratings)
34 Students
8 Courses

Student Ratings & Reviews

4.0
Total 2 Ratings
5
1 Rating
4
0 Rating
3
1 Rating
2
0 Rating
1
0 Rating
2 years ago
Very good course
2 years ago
Very Good
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A course by

Requirements

  • Basic understanding of Python programming.
  • A computer with internet access.
  • Willingness to learn and apply AI techniques.

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Audience

  • Beginners looking to start a career in AI and machine learning.
  • Data scientists and analysts aiming to upskill in AI.
  • Developers wanting to transition into AI-focused roles.
  • Anyone interested in applying AI to solve real-world problems.