Key Features
- Duration: 7 Months
-
Lessons:
84
- Class Size: 18 Students
- Language: Uzbek
- Certificate: Yes
Course Overview
The Mastering DevOps and Platform Engineering course is an advanced level program designed to impart profound knowledge and skills pertaining to the DevOps methodology. It delves deep into the principles of continuous development, integration, testing, deployment, and monitoring of applications, facilitating a seamless collaboration between software developers and IT professionals.
The curriculum covers vital DevOps tools like Docker, Jenkins, Kubernetes, Git, and Ansible, enabling individuals to automate multiple aspects of software development and operational processes. Additionally, it places a strong emphasis on practical learning through interactive hands-on labs and real-world projects, to ensure that candidates are fully equipped to meet industry demands. The curriculum covers vital DevOps tools like Docker, Jenkins, Kubernetes, Git, and Ansible, enabling individuals to automate multiple aspects of software development and operational processes. Additionally, it places a strong emphasis on practical learning through hands-on labs and real-world projects, to ensure that candidates are fully equipped to meet industry demands.
Career Pathways
The Mastering DevOps and Platform Engineering course can pave the way for roles such as DevOps Engineer, Release Manager, Automation Architect, or Site Reliability Engineer, in industries ranging from tech startups to established global corporations.
Target Audience
The Mastering DevOps and Platform Engineering course is targeted towards IT professionals who are interested in learning and implementing DevOps practices in their workflow, including Software Developers, System Administrators, IT Managers, and professionals involved in testing, quality assurance, and IT operations.
Prerequisites
The prerequisites typically include a basic understanding of Linux fundamentals, as well as familiarity with scripting languages such as Python, Ruby, or JavaScript. Prior knowledge of fundamental concepts in system administration, software development, and networking can also be beneficial.
Course Objectives
- Understand the core principles of the DevOps methodology and the benefits of a DevOps culture within a team or organization.
- Master various DevOps tools such as Docker, Jenkins, Kubernetes, Git, and Ansible to automate and streamline software development and IT operations processes.
- Learn about Continuous Integration (CI), Continuous Deployment (CD), and Continuous Monitoring to ensure quick delivery and high-quality software products.
- Apply the skills and knowledge learned through real-world scenarios and hands-on lab exercises, ensuring the practical application of theoretical concepts.
- Prepare for roles in DevOps by understanding and addressing the common challenges and strategies for successful implementation of DevOps.
- Gain the professional credentials necessary to advance in a DevOps career, enhancing credibility and marketability in the industry.
Course Curriculum
- DevOps methodology and principles
- DevOps culture and practices
- Collaboration and communication in DevOps
- Overview of the Linux operating system
- Basic Linux commands
- File systems and process management
- Role of a system administrator
- Managing users, installing software, updating systems, ensuring security
- Writing shell scripts
- Debugging shell scripts
- Executing shell scripts
- Automating system administration tasks with scripts
- Python data structures
- Functions, modules, and libraries in Python
- Writing Python scripts for automation
- Interacting with APIs using Python
- Introduction to Git
- Git commands
- Git branching and merging strategies
- Collaborative development using GitHub
- Introduction to Jenkins
- Building Jenkins pipelines
- Managing Jenkins
- Securing Jenkins
- Implementing automated testing with Jenkins
- Introduction to Ansible
- Writing Ansible playbooks
- Ansible roles
- Inventory management in Ansible
- Introduction to Docker
- Creating Docker images
- Managing Docker containers
- Using Dockerfile and Docker Compose
- Orchestrating multi-container deployments with Docker Swarm
- Introduction to Kubernetes
- Setting up a Kubernetes cluster
- Deploying applications with Kubernetes
- Managing workloads in Kubernetes
- Kubernetes service networking
- Introduction to Terraform
- Terraform syntax, modules, variables, and state files
- Writing and organizing Terraform code
- Best practices for using Terraform
- Introduction to Prometheus and metrics collection
- Introduction to Grafana and data visualization
- Using ELK Stack for centralized logging
- Introduction to DevSecOps
- Principles of DevSecOps
- Security testing in DevOps
- Tools for security in a DevOps environment
- Implementing DevOps practices in AWS, Azure, and GCP
- Introduction to services such as AWS CodePipeline, Azure DevOps, and Google Cloud Build
- Introduction to Platform Engineering
- Building and managing scalable platforms
- Infrastructure considerations for platform engineering
- Infrastructure Management with Puppet
- Automating platform creation and management
- Cloud-native applications and platform engineering
- Security considerations for platform engineering
- Integration with DevOps pipelines
- Strategies for implementing DevOps
- Common challenges and solutions in DevOps
- Latest trends and future prospects in DevOps
- Applying skills learned through a comprehensive real-world project
- Preparing for the certification exam
- Test-taking strategies, practice exams, and Q&A sessions
Course Instructors
