AWS DevOps Course
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AWS DevOps Course Curriculum
- Understanding the principles and practices of DevOps, including its cultural aspects, collaboration between development and operations teams, and the goal of continuous integration and delivery.
- Learning foundational concepts of networking such as TCP/IP, DNS, HTTP, and understanding how internet protocols work, which is crucial for deploying and managing applications in distributed environments.
- Mastering Linux command line basics and shell scripting to efficiently manage systems and automate tasks, which are essential skills for DevOps engineers.
- Utilizing Git for version control to track changes in code, collaborate with team members, and manage code branches effectively, ensuring a smooth development workflow.
- Exploring various AWS services and understanding cloud computing concepts like scalability, elasticity, and cost optimization, enabling deployment and management of applications in the cloud.
- Applying DevOps principles and tools to real-world scenarios, solving problems and gaining hands-on experience with implementing DevOps practices.
- Learning Docker for containerization, including creating, managing, and deploying containers to ensure consistent environments across development, testing, and production.
- Implementing tools and techniques for continuous monitoring and logging of applications and infrastructure to detect issues, troubleshoot problems, and ensure system reliability.
- Setting up continuous integration and continuous delivery pipelines using Jenkins to automate software build, test, and deployment processes, enhancing development efficiency and quality.
- Applying learned concepts and tools to a specific project or scenario, demonstrating proficiency in implementing DevOps practices.
- Implementing continuous integration practices to automate the process of integrating code changes into a shared repository, enabling early detection of integration errors.
- Automating the deployment process to rapidly and reliably release code changes into production environments, ensuring frequent and consistent delivery of updates.
- Using Terraform for infrastructure provisioning and Ansible for configuration management to automate the setup and maintenance of infrastructure as code.
- Deploying and managing containerized applications at scale using Kubernetes, including container orchestration, scaling, and load balancing, for efficient and resilient application deployment.
- Hands-on experience on a real-time project work.
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