I. Overview:

Advanced DevOps courses provide in-depth training and education on the latest tools, techniques, and best practices for implementing DevOps practices in large-scale software development environments. These courses are typically designed for experienced DevOps practitioners, software engineers, and IT professionals who are looking to expand their skills and knowledge in DevOps.

In addition to theoretical instruction, advanced DevOps courses may also include hands-on exercises, practical workshops, and group projects to help students apply their new knowledge and skills to real-world scenarios. Many advanced DevOps courses are also designed to prepare students for industry certification exams such as the AWS Certified DevOps Engineer or the Kubernetes Certified Administrator.

Overall, advanced DevOps courses are an essential resource for IT professionals and software engineers who are looking to advance their careers and stay up-to-date with the latest developments in DevOps practices and technologies

II.Duration: 

40 hours (5 days)

III.Objectives:

The objective of an advanced DevOps course is to provide IT professionals and software engineers with the advanced skills and knowledge required to implement DevOps practices at scale and to keep up with the rapidly evolving DevOps landscape. Here are some of the main objectives of an advanced DevOps course.

• Deepen knowledge of DevOps practices: Students will gain a deeper understanding of the fundamental concepts and practices of DevOps, including continuous integration and continuous deployment (CI/CD), infrastructure as code (IaC), containerization, and monitoring and logging.
• Learn advanced DevOps tools and technologies: Students will become proficient in using advanced DevOps tools and technologies, including Kubernetes, Docker Swarm, Terraform, Ansible, Jenkins, and GitLab.
• Develop skills in automation and orchestration: Students will learn how to automate and orchestrate complex DevOps workflows and processes, including deploying and scaling applications, managing infrastructure, and performing maintenance and upgrades.
• Gain expertise in cloud platforms: Students will become familiar with cloud platforms such as Amazon Web Services (AWS), Microsoft Azure, or Google Cloud Platform (GCP), and learn how to deploy and manage applications on these platforms.
• Enhance collaboration and communication skills: Students will develop the communication and collaboration skills required to work effectively in DevOps teams, including agile methodologies, code reviews, and version control.
• Improve security and compliance: Students will learn how to integrate security and compliance best practices into their DevOps workflows, including managing secrets and credentials, auditing logs, and implementing security controls.

Overall, the objective of an advanced DevOps course is to provide students with a comprehensive understanding of advanced DevOps practices and technologies, with a focus on hands-on learning and real-world application of concepts and tools. By completing an advanced DevOps course, students can deepen their knowledge and gain the skills required to implement DevOps practices at scale in their organizations.

IV. Intended Audience:

• DevOps engineers and managers
• Cloud architects and administrators
• Software developers and engineers
• IT operations professionals and system administrators
• Infrastructure engineers and architects
• Site reliability engineers (SREs)

V. Prerequisites:

• Basic knowledge of DevOps practices: Students should have a solid understanding of the fundamental concepts and practices of DevOps, including continuous integration and continuous deployment (CI/CD), infrastructure as code (IaC), containerization, and monitoring and logging.
• Familiarity with Git and Linux: Students should be familiar with Git, which is a popular version control system used in DevOps, and have a basic understanding of Linux commands.
• Experience with containerization and orchestration: Students should have some experience with containerization using Docker and orchestration using Kubernetes.
• Basic programming skills: Students should have a basic understanding of programming concepts and experience with at least one programming language such as Python or Java.
• Familiarity with cloud platforms: Students should be familiar with cloud platforms such as Amazon Web Services (AWS), Microsoft Azure, or Google Cloud Platform (GCP), and have some experience deploying applications on these platforms.

VI. Course outlines:

1.      Introduction to Advanced DevOps

• Understanding the role of advanced DevOps in software development
• Overview of advanced DevOps tools and techniques
• Common challenges in advanced DevOps implementation

2.      Continuous Integration and Continuous Deployment (CI/CD)

• Designing and implementing a CI/CD pipeline
• Best practices for testing and quality assurance in CI/CD
• Strategies for managing and deploying applications in production

3.      Infrastructure as Code (IaC)

• Understanding the principles of IaC and its benefits
• Implementing IaC using tools such as Terraform, CloudFormation, and Ansible
• Strategies for managing and maintaining infrastructure code

4.      Containerization and Orchestration

• Understanding containerization and its benefits
• Implementing containerization using Docker and Kubernetes
• Strategies for managing containerized enviroments and orchestration tools

5.      Monitoring and Logging

• Designing and implementing monitoring and logging systems
• Strategies for alerting and incident response
• Best practices for managing logs and analyzing data

6.      Security and Compliance

• Understanding security and compliance requirements in DevOps
• Implementing security measures such as encryption, access control, and vulnerability management
• Strategies for compliance with regulatory framework such as HIPAA, PCI DSS and GDPR

7.      Collaboration and Communication

• Strategies for effective collaboration and communication in DevOps teams
• Tools and techniques for managing code and infrastructure changes
• Best practices for code reviews, pair programming, and agile development methodologies

8.      Advanced DevOps Case Studies

• Case studies of successful advanced DevOps implementations
• Analysis of common challenges and solutions in advanced DevOps adoption
• Best practices for scaling and optimizing advanced DevOps practices.