DevOps Engineer

1. Definition, Principles, and Goals.
2. Benefits of DevOps.
3. DevOps Culture and Mindset.

1. Plan, Code, Build, Test, Release, Deploy, Operate, Monitor.
2. Continuous Integration, Continuous Delivery, and Continuous
Deployment (CI/CD).

1. Version Control Systems. (Git, SVN)
2. Build Tools. (Maven, Gradle)
3. Configuration Management Tools. (Ansible, Puppet, Chef)
4. Containerization. (Docker, Kubernetes)
5. Cloud Platforms. (AWS, Azure, GCP)
6. Monitoring and Logging. (Prometheus, Grafana, ELK Stack)
7. CI/CD Pipelines. (Jenkins, Azure DevOps, GitLab CI)

1. Installation and Basic Commands. (init, clone, add, commit, push, pull)
2. Branching and Merging.
3. Resolving Conflicts.
4. Working with Remote Repositories. (GitHub, GitLab, Bitbucket)
5. Git Flow Workflow.

1. Creating and Managing Repositories.
2. Branching and Merging Scenarios.
3. Resolving Merge Conflicts.

1. Containers vs. Virtual Machines.
2. Docker Architecture. (Docker Engine, Docker Hub, Docker Compose)
3. Docker Images and Containers.
4. Docker file Basics. (FROM, COPY, RUN, EXPOSE)
5. Building and Running Docker Images.

1. Defining Multi-Container Applications.
2. Orchestrating Services with Docker Compose.

1. Building and Running Docker Images.
2. Creating and Managing Docker Containers.
3. Deploying Applications with Docker Compose.

1. Introduction to Kubernetes and its Architecture. (Pods, Deployments,
Services)
2. Kubernetes Concepts. (Namespaces, Labels, Selectors)
3. Deploying and Managing Applications on Kubernetes.
4. Scaling and Load Balancing.

1. Deployments, Services, Replica Sets.
2. Ingress Controllers.
3. Secrets and Config Maps.

1. Deploying and Managing Applications on Kubernetes.
2. Creating and Managing Kubernetes Services.
3. Scaling and Load Balancing Applications.

1. Azure DevOps Services Overview.
2. Azure Boards. (Work Items, Sprints, Backlogs)
3. Azure Repos. (Git Repositories)
4. Azure Pipelines. (CI/CD Pipelines)
5. Azure Artifacts. (Package Management)
6. Azure Test Plans. (Test Management)

1. Building and Deploying Applications with Azure Pipelines.
2. Integrating with Azure Repos and other tools.
3. Creating Release Pipelines.

1. Creating and Managing Work Items in Azure Boards.
2. Creating and Managing Git Repositories in Azure Repos.
3. Building and Deploying Applications using Azure Pipelines.

1. Introduction to Azure Cloud Platform.
2. Core Azure Services. (Virtual Machines, AKS, Virtual Networks,
Storage)
3. Azure Compute Services. (App Service, Functions)
4. Azure Database Services. (SQL Database, Cosmos DB)

1. Azure DevOps Integration with Azure Services.
2. Deploying Applications to Azure.
3. Monitoring and Logging Azure Resources.

1. Creating and Managing Azure Resources.
2. Deploying Applications to Azure.

1. Importance of Monitoring and Logging in DevOps.
2. Monitoring Tools. (Prometheus, Grafana)
3. Logging Tools. (ELK Stack, loki)
4. Setting up Monitoring and Logging for Applications.

1. Setting up Alerts and Notifications.
2. Responding to Incidents.

1. Setting up Monitoring and Logging for Applications.
2. Creating and Configuring Alerts.

1. Integrating Security into the DevOps Lifecycle.
2. Security Best Practices in DevOps.
3. Security Tools and Technologies.

1. Integrating Security into CI/CD Pipelines.
2. Performing Security Testing. (Static Code Analysis, Penetration
Testing)
3. Vulnerability Management.

1. Implementing Security Checks in CI/CD Pipelines.

1. Introduction to Terraform and its Architecture.
2. Core Terraform Concepts. (Providers, Resources, Data Sources)
3. Writing Terraform Modules.
4. State Management. (Terraform State)

1. Provisioning Infrastructure with Terraform. (VMs, Networks, Storage)
2. Creating and Managing Terraform Modules.
3. Working with Terraform State.

1. Introduction to scripting languages. (Bash, Python, PowerShell)
2. Scripting for DevOps tasks. (Automation, CI/CD)
3. Working with APIs and CLI tools.

1. Writing scripts for automating DevOps tasks.
2. Integrating scripts with CI/CD pipelines.

1. Microservices Architecture.
2. Serverless Computing.

1. Chaos Engineering.
2. AI/ML in DevOps.
3. Observability.

1. Learn how to handle real-world interview scenarios thru practice
sessions with tech leads and hiring managers from top-tier
organizations.

2. Meet & Greet: Learn how to effectively greet the interviewers and
establish the first impression.

3. How to Present Yourself: Learn how to present yourself
professionally, including mastering body language, attire, and clear
communication to make a strong first impression.

1. We will train you to answer complex technical questions confidently,
emphasizing problem-solving and practical knowledge application.

2. Behavioral Questions: Learn how to respond to behavioral questions
using the STAR method, showcasing your interpersonal skills,
teamwork, and ability to handle workplace challenges.