Certification in DevOps with Cloud, Docker, CI CD & Ansible

Explore cloud services and AWS fundamentals, including IAM, EC2, S3, EBS, RDS, VPC, and Route 53, to understand on-demand computing, cloud models, and AWS management for scalable, cost-effective global solutions.

Explore cloud computing and AWS basics, including IaaS, PaaS, and SaaS, and how AWS global regions, pay-as-you-go pricing, security, and compliance enable scalable, on-demand resources.

Explore how AWS Identity and Access Management (IAM) defines users, groups, roles, and JSON policies to enforce fine-grained, least-privilege access with MFA, temporary credentials, and CloudTrail auditing.

Launch scalable EC2 instances and attach flexible EBS volumes to build secure, automated, and highly available AWS workloads with snapshots, auto scaling, and robust monitoring.

Explore S3 and data management in AWS, presenting S3 as durable, scalable object storage for backup and analytics, with lifecycle policies, versioning, storage classes, encryption, and IAM integrations.

Explore AWS networking essentials with VPC and Route 53, configuring subnets, routing tables, gateways, security groups, and hosted zones to enable health checks, latency-based and geo routing.

Explore how cloud services and AWS fundamentals connect core services—EC2, S3, RDS, and VPC—with pay-as-you-go pricing, global infrastructure, and analytics to enable scalable, secure, cost-efficient cloud solutions.

Master source code management with git and version control, and understand networking fundamentals for DevOps, including repositories, branches, commits, merges, hooks, tags, submodules, and cloud networking services.

Explore Git and version control basics, including distributed history, branching, commits, and remote workflows with GitHub, GitLab, or Bitbucket to enable collaborative software development.

Master networking fundamentals for DevOps by understanding TCP/IP, subnets, routing, firewalls, load balancers, DNS, SSL/TLS, VPNs, and cloud networking services such as AWS VPCs, Azure VNets, and GCP VPCs.

Explore advanced git hooks, tags, and submodules to manage complex projects, enforce standards with pre-commit hooks, track releases with annotated tags, and include external repositories via submodules.

Explore how git-based collaboration tools like GitHub, GitLab, and Bitbucket enable issue tracking, pull requests, and code reviews, integrate CI/CD, and improve code quality and collaboration.

Automate network configuration, monitoring, and management with shell scripting to ensure consistent settings across routers and switches, while integrating with Ansible or Python for scalable, self-healing DevOps network management.

Explore how source code management and networking concepts form a balanced ecosystem for secure, collaborative, and scalable DevOps workflows, with tools like Git, GitHub, and CI CD pipelines.

Learn real-time Docker package management with containerized deployments and Sonarqube-driven CI/CD, integrating GitHub and Jenkins to ensure code quality, security, and scalable software delivery.

Explore how Docker uses containerization to package applications and dependencies into portable images, run as lightweight containers, and orchestrate multi-container apps with Docker Compose, Docker Hub, and CI/CD integration.

Explore real world Docker scenarios, including multi-container apps with Docker Compose, legacy migrations, and microservices. See how Docker enables testing, continuous integration, cloud native deployments, and rapid prototyping.

Learn how Docker enhances continuous integration by automating builds, tests, and deployment in Jenkins-driven CI pipelines, using versioned images in registries like Docker Hub and scaling with Kubernetes.

Discover SonarQube, an open source tool for continuous code quality inspection that integrates with CI/CD pipelines, detects vulnerabilities and code smells, and enforces quality gates with real-time reports.

Explore advanced Docker techniques to optimize image size with multi-stage builds, secure containers, and orchestrate scale with Kubernetes or Docker Swarm, including overlay networks, service discovery, secrets, and resource limits.

Explore how Docker and Sonarqube enable fast, secure containerization and packaging, with continuous code quality in CI/CD pipelines, real-time scenarios, and quality gates driving reliable deployments.

Explore minor project week through hands-on, team-based projects that apply DevOps, cloud, Docker, and ci cd practices to real-world problems, from planning to presentation.

Plan and set up the minor project week by defining scope, objectives, resources, and milestones; establish development environments, tools, CI/CD, version control, and collaboration protocols.

Define the problem and gather requirements through stakeholder interviews, surveys, and research; document functional and non-functional requirements, prioritize with the Moscow method, use cases, and validate with stakeholders.

Conduct thorough testing and debugging across unit, integration, and user acceptance tests, using automated tools and regression, performance, and stress testing to ensure reliable, user-friendly software ready for deployment.

Translate planning into a functional prototype through coding, UI design, and component integration, while applying agile iterations, testing (integration, unit, regression), version control, documentation, DevOps, and ci/cd pipelines.

Final presentation and review showcase the project’s value through demonstrations, visuals, and stakeholder feedback, while teams reflect on challenges, share documentation, and highlight CI/CD improvements and stability.

Explore how Minor Project Week bridges theory and practice through planning, problem definition, implementation, testing, final presentation, and end-to-end project experience. Develop teamwork, communication, and resilience for professional challenges.

Learn how continuous integration and continuous delivery streamline building, testing, and deploying applications using Jenkins or GitLab CI, with Docker integration and automated pipelines from code merge to deployment.

Learn how CI/CD automates builds, tests, and deployments to production, enabling faster feedback, improved software quality, and a collaborative DevOps pipeline.

Learn how to set up ci/cd pipelines with Jenkins or GitLab CI, defining stages like commit, build, test, and deploy, and leveraging Docker and Kubernetes, parallel jobs, logs, and monitoring.

Automating builds and tests drives the ci cd pipeline by compiling code and running unit, integration, and end-to-end tests. It standardizes builds and provides rapid feedback across environments.

Continuous deployment automates moving code from development to staging and production after automated tests in the ci/cd pipeline, enabling rapid, reliable releases with fast rollback.

Integrate Docker into the ci/cd pipeline to ensure consistency and portability, packaging apps and dependencies into containers that build and test, scale, and rollback reliably.

Automate code integration, builds, and tests with continuous integration to catch errors early and boost collaboration. Extend automation to release processes across environments for faster, safer deployments via CI/CD pipelines.

Explore how Kubernetes automates deployment, scaling, and self-healing of containerized applications, covering pods, nodes, clusters, deployments, services, ConfigMaps, Secrets, namespaces, and persistent storage for cloud-native DevOps.

Explore the Kubernetes architecture and components, including the master node and worker nodes, API server, scheduler, controller manager, etcd, kubelet, and kube proxy, plus networking with flannel.

Learn how to set up a Kubernetes cluster from master to worker nodes using kubeadm, configure networking and RBAC, enable monitoring with Prometheus and Grafana, and ensure high availability.

Manage Kubernetes pods and deployments to control lifecycle, scale applications, and enable rolling updates. Use replica sets and declarative YAML/JSON to achieve self-healing, rollback, and portable, reliable delivery.

Master Kubernetes networking and services, from pod IPs and DNS-based service discovery to cluster IP, node port, and load balancer access, plus ingress, network policies, and cni plugins.

Explore how Kubernetes uses persistent volumes and persistent volume claims to decouple storage from pods, enabling dynamic provisioning, stateful sets, and data persistence.

Explore how Kubernetes orchestrates containerized apps with pods, deployments, and services. Experience rolling updates, stateful sets, persistent storage, and scalable, secure cloud-native operations.

Define Kubernetes applications with YAML manifests and deploy with rolling updates. Expose services, manage configmaps and secrets, scale with HPA and VPA, and monitor with Prometheus, Grafana, Fluentd, and EFK.

Deploy stateful applications in Kubernetes with stateful sets, giving each pod a stable identity and dedicated storage via persistent volume claims and headless services for reliable, ordered deployment.

Learn how Kubernetes stateful sets give each pod a unique identity and dedicated persistent storage via PVCs, with headless services, ordered deployment, and reliable backups through operators.

Learn how Kubernetes manages secrets and configmaps to securely store credentials and externalize configuration from container images, mounting as volumes or environment variables and enabling dynamic updates with RBAC.

Learn how Kubernetes autoscaling dynamically adjusts pods and nodes with HPA, VPA, and cluster autoscaler, guided by Prometheus and metrics for efficiency and resilience.

Explore monitoring and logging in Kubernetes using Prometheus and Grafana for metrics and alerts, Fluentd and Elk stack for centralized logging, and Metrics Server powering horizontal pod autoscaler.

Explore how Kubernetes enables scalable, reliable deployment of stateless and stateful apps using deployments, statefulsets, services, and persistent volumes, with autoscaling, rolling updates, and secrets and config maps.

Ansible, an open source automation tool, uses YAML to simplify configuration management, application deployment, and task automation in an agentless, SSH-based framework, enabling large-scale automation with Ansible Tower playbooks.

Explore how Ansible playbooks, written in YAML, automate infrastructure with idempotent tasks, roles, handlers, and conditional execution. Secure secrets with Ansible Vault and manage configurations across hosts and inventories.

Master infrastructure automation with Ansible playbooks written in YAML, using plays, tasks, and roles to achieve idempotent, secure configurations across hosts, with handlers, when conditions, and vault encryption.

Automate application deployment with Ansible across development, staging, and production using playbooks to install dependencies. Configure servers, deploy Docker, use Jinja2 templates, enable rolling updates, and integrate with ci/cd.

Discover how Ansible rules enable modular, reusable automation by organizing playbooks into tasks, vars, templates, handlers, and files, with Galaxy providing pre-built roles to accelerate deployment.

Explore how Ansible Tower centralizes large-scale automation with a web interface, RBAC, job scheduling, real-time logging, inventory management, and secure credential handling.

Discover how Ansible provides simple, agentless automation with YAML playbooks, modular rules, and Galaxy and Tower to scale configuration, deployment, and orchestration.

Learn infrastructure as code with Terraform, writing declarative configurations to provision and manage resources. Master state management, execution plan, modules, and multi-cloud deployment across AWS, Azure, and GCP.

Explore infrastructure as code to automate and standardize environment provisioning with machine readable configurations, version control, and DevOps pipelines using tools like Terraform, Ansible, or CloudFormation.

Terraform enables reliable, repeatable infrastructure management through modular configurations, state management, and integration with Azure DevOps for CI CD across multi-region environments.

Manage Terraform state and remote backends to keep a single source of truth for infrastructure. Use version control to track changes, enable rollbacks, and support collaborative CI/CD workflows.

Deploy infrastructure as code with Terraform by writing configurations, planning changes with Terraform plan, and applying them with Terraform apply to AWS, Azure, or Google Cloud, ensuring declarative, idempotent provisioning.

Learn advanced terraform techniques with modules and workspaces to enable reusable infrastructure, environment separation, and standardized collaboration, supported by GitHub actions and Amazon Web Services oidc integration.

Leverage Terraform to implement infrastructure as code with declarative syntax, state management, version control, modules, and workspaces for reproducible, scalable deployments across multi-cloud environments.