What you'll get
- 20+ Hours
- 7 Courses
- Course Completion Certificates
- Self-paced Courses
- Technical Support
- Case Studies
- Download Curriculum
Synopsis
- Develop a thorough understanding of DevOps concepts and practices.
- Learn to automate infrastructure using Chef and manage deployments efficiently.
- Explore Docker for building, shipping, and running applications in virtualized and cloud environments.
- Analyze machine-generated data using Splunk for monitoring and insights.
- Master version control and collaboration using Git.
- Apply DevOps tools and techniques through hands-on projects and practical exercises.
- Develop skills for continuous integration, delivery, and effective system management.
Content
| Courses | No. of Hours | Certificates | Details |
|---|---|---|---|
| AWS Certified DevOps Engineer 2019 | 4h 39m | ✔ | View Curriculum |
| Chef Devops Essentials | 2h 21m | ✔ | View Curriculum |
| AWS Certified DevOps Engineer Module #3 | 57m | ✔ | View Curriculum |
| Docker Training | 1h 54m | ✔ | View Curriculum |
| Splunk Fundamentals | 8h 33m | ✔ | View Curriculum |
| Courses | No. of Hours | Certificates | Details |
|---|---|---|---|
| Version Control System - GIT Training | 35m | ✔ | View Curriculum |
| Git and Github for Developers | 2h 26m | ✔ | View Curriculum |
Description
The DevOps certification course provides learners with the skills to automate and optimize software development and IT operations. Participants gain a thorough understanding of:
- AWS: Exploring cloud computing services, remote deployment, and infrastructure management on Amazon Web Services.
- Chef: Automating configuration, deployment, and management of systems across on-premises, cloud, and hybrid environments.
- Docker: Building, shipping, and running distributed applications in isolated containers for efficient virtualization and deployment.
- Splunk: Analyzing and visualizing machine-generated data to monitor performance and derive actionable insights.
- Git & Version Control: Managing source code collaboratively, tracking changes, and ensuring quality code delivery.
The course emphasizes hands-on learning through projects that simulate real-world DevOps workflows. Learners develop the ability to integrate cloud services, automate infrastructure, manage containers, and monitor applications effectively. This program also helps build proficiency in deploying scalable, maintainable systems while mastering industry-standard tools.
Sample Certificate
Requirements
- Basic knowledge of software development and programming.
- Familiarity with Linux commands (e.g., ls, pwd, chmod).
- Access to an AWS free account for hands-on practice.
- Basic understanding of virtualization, cloud operations, networks, and operating systems.
- Ability to install software and work with development environments.
- Interest in learning new tools and applying automation practices in software projects.
Target Audience
- Professionals preparing for AWS Certified Solution Architect or similar cloud certifications.
- Web designers and developers seeking knowledge of DevOps practices.
- System administrators and IT professionals looking to expand into cloud, automation, and deployment.
- Software engineers, programmers, and developers wanting to learn Git and version control systems.
- Computer science and engineering students seeking practical DevOps skills.
- App developers, data analysts, and data scientists are interested in integrating DevOps tools into their workflow.
