

DevOps course syllabus spans several topics which are considered vital for the fundamental understanding of the domain. It is designed to cover the intrinsic segments as well, such as the history of DevOps, objectives, software development life cycle, virtual development and management tools. The DevOps course curriculum embraces the growth objectives of IT professionals, making them proficient at tackling the architecture and scalability of software deployment. At the same time, the DevOps course syllabus also builds the requisite vision to meet the challenges of this field. The learning process usually begins with the identification of the problem and then, making use of the typical DevOps workflow to address the relevant problem
Introduction to DevOps , DevOps Principles in detail , DevOps Engineer Skills in the market ,Knowing DevOps Delivery Pipeline, Market trend of DevOps , DevOps Technical Challenges , Tools we use in DevOps
DevOps on Cloud ,Essentials of Cloud computing? , Cloud and virtualization architecture , Cloud deployment architecture , Cloud providers – An overview , Why we need DevOps on Cloud? , Introducing to Amazon web services
GIT – A Version controlling tool ,Knowing about Version control , Git – A CLI Essentials of GIT in industry , How to setup GIT - Installing Git , First-Time Git Setup , Getting a Git Repository , Working with various commands in GIT
Jenkins - Essentials of Continuous Integration , An example scenario where CI is used , Know about Jenkins and its architecture in detail , Jenkins tool Management in detail , Know about User management in Jenkins Docker -Introduction, Real-world Shipping Transportation Challenges , Introducing Docker and its technology , Understanding of Docker images and containers , Working with container , How to Share and copy a container
Kubernetes , Introduction to Kubernetes , Kubernetes Cluster Architecture — An overview- Understanding concepts of Pods, Replica sets, deployments and namespaces ,Understanding the concepts of services and networking ,Persistent volumes and persistent volume claims —an overview , Design of Pods , Understanding labels, selectors, jobs, and schedulers

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