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⚙️ DevOps Starter Track Beginner Level Career Launcher

Core DevOps
for Beginners

Start your DevOps career with the foundational skills every company needs. Master Linux, Git, Docker, Jenkins, GitHub Actions, Kubernetes basics, and Terraform — with AI tools helping you write scripts, generate configs, and understand concepts faster. The complete beginner-to-job-ready DevOps course in Bengaluru.

schedule55 Hours
science28+ Labs
workspace_premium4 Real Projects
languageEnglish
terminalHands-on Labs
starstarstarstarstar
4.9 (88 reviews) · 4,200+ enrolled
person Created by Arjun Mehta · Senior DevOps Engineer & Trainer, Red Hat Certified, 9+ years experience
boltEnroll Now — ₹16,499
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DevOps Career Starter Track
Core DevOps Engineering
Linux · Git · Docker · Jenkins · Kubernetes · Terraform · CI/CD
55h
Content
28+
Labs
4
Projects
Tools & Technologies
LinuxGitGitHubDockerJenkinsGitHub ActionsKubernetesTerraformPrometheusGrafanaAnsibleCopilotClaude

What you'll learn

check_circle Master Linux command line — file management, permissions, processes, and shell scripting
check_circle Use Git for version control — branching, merging, pull requests, and team collaboration workflows
check_circle Build and manage Docker containers — write Dockerfiles, compose multi-container apps, use registries
check_circle Create CI/CD pipelines with Jenkins and GitHub Actions that build, test, and deploy automatically
check_circle Deploy and manage applications on Kubernetes — pods, deployments, services, and configmaps
check_circle Provision cloud infrastructure with Terraform for AWS and Azure
check_circle Monitor applications and infrastructure with Prometheus and Grafana
check_circle Use GitHub Copilot and Claude to generate scripts, configs, and pipelines throughout the course
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28+ Beginner-Friendly Labs

Every lab starts from scratch with step-by-step guidance. Real Linux servers, real Docker containers, real Kubernetes clusters — no prior experience required to complete any lab.

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AI Learning Accelerator

GitHub Copilot explains Dockerfiles line-by-line. Claude generates Jenkins pipelines from task descriptions. ChatGPT debugs failing builds. AI reduces the learning curve for every DevOps concept.

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Job-Ready in 3 Months

Our graduates land DevOps roles within 3 months. CV review, LinkedIn optimisation, mock interviews, and referrals to 1,000+ hiring companies are included for every completing student.

Course Curriculum

12 Modules · 55 Hours
article Linux file system, navigation, and essential commands — cd, ls, cp, mv, find
55:00
article File permissions, user/group management — chmod, chown, sudo, visudo
50:00
article Process management — ps, kill, top, systemctl, and service management
45:00
article Shell scripting basics — variables, loops, conditions, and functions
45:00
science Lab: Lab: AI-assisted server setup script — generate with Copilot, test on real Linux VM
25:00
article Git fundamentals — init, clone, add, commit, push, pull, and log
55:00
article Branching strategies — feature branches, Git Flow, and trunk-based development
50:00
article GitHub — pull requests, code review, issues, Actions, and branch protection
45:00
science Lab: Lab: Collaborate on a simulated team project with Git branching and PR workflow
20:00
article Docker fundamentals — images, containers, layers, and the Docker Hub registry
60:00
article Writing Dockerfiles — FROM, RUN, COPY, ENV, EXPOSE, and multi-stage builds
55:00
article Docker Compose — multi-container applications with networking and volumes
55:00
article AI-generated Dockerfiles with Copilot and optimisation with ChatGPT
35:00
science Lab: Lab: Containerise a 3-tier web application with Docker Compose
35:00
article Jenkins architecture — controller, agents, plugins, and job types
55:00
article Jenkinsfile — declarative pipelines, stages, steps, and post actions
55:00
article Pipeline integration — Git webhooks, Docker builds, and Slack notifications
50:00
science Lab: Lab: Build a CI pipeline that tests, builds Docker image, and pushes to Docker Hub
20:00
article GitHub Actions fundamentals — workflows, events, jobs, steps, and runners
55:00
article Actions Marketplace — common actions for build, test, deploy, and security
50:00
article AI-generated GitHub Actions workflows with Copilot
40:00
science Lab: Lab: Full CI/CD pipeline in GitHub Actions — test, Docker build, push to ECR, deploy
35:00
article Kubernetes architecture — control plane, nodes, API server, etcd, scheduler
60:00
article Core objects — Pods, Deployments, ReplicaSets, Services, and ConfigMaps
60:00
article Kubernetes networking — Services (ClusterIP, NodePort, LoadBalancer), Ingress
55:00
article kubectl commands — get, describe, apply, logs, exec, and port-forward
45:00
science Lab: Lab: Deploy a microservices application on Kubernetes with Services and Ingress
30:00
article Secrets and ConfigMaps — creating, mounting, and managing sensitive configuration
55:00
article Persistent Volumes, PVCs, and StorageClass for stateful workloads
50:00
science Lab: Lab: Deploy a stateful application with Persistent Volumes and encrypted Secrets
35:00
article Terraform fundamentals — providers, resources, variables, outputs, and state
60:00
article Provisioning AWS infrastructure — VPC, EC2, S3, and security groups with Terraform
55:00
article AI-generated Terraform configs with Copilot and Claude
40:00
science Lab: Lab: Provision a full AWS VPC with EC2 instances using AI-assisted Terraform
25:00
article Prometheus — metrics, exporters, PromQL queries, and AlertManager rules
55:00
article Grafana — dashboards, panels, and data source configuration
50:00
science Lab: Lab: Deploy a monitoring stack and create dashboards for a running application
35:00
article Ansible fundamentals — inventory, modules, ad-hoc commands, and YAML syntax
55:00
article Writing Ansible playbooks — tasks, handlers, variables, and roles
55:00
science Lab: Lab: Automate application deployment and configuration with Ansible playbook
30:00
Module Objective: Use GitHub Copilot, Claude, and ChatGPT as your DevOps learning accelerators — generate configurations, debug errors, explain concepts, and build complete pipelines with AI assistance that will accompany you throughout your career.
article GitHub Copilot for DevOps — generating Dockerfiles, Jenkinsfiles, and K8s YAML
45:00
article Claude for debugging CI/CD failures, pod issues, and Terraform plan errors
40:00
article ChatGPT for explaining DevOps concepts and generating documentation
35:00
science Lab: Lab: Build a complete AI-assisted DevOps pipeline from scratch — concept to deployment
30:00
article Design a complete DevOps workflow — Git → Jenkins/GitHub Actions → Docker → Kubernetes → Monitoring
150:00
science Lab: Lab: Deploy a full-stack application through a complete CI/CD pipeline with monitoring and AI assistance
150:00

Tools & Technologies You'll Master

🐧 Linux🔗 Git / GitHub🐳 Docker🎼 Docker Compose⚙️ Jenkins⚡ GitHub Actions☸️ Kubernetes🏗️ Terraform📊 Prometheus📈 Grafana🔄 Ansible🔧 AWS CLI🐚 Bash🤖 GitHub Copilot🧠 Claude💬 ChatGPT📦 Docker Hub / ECR

Real-World Projects

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End-to-End CI/CD Pipeline Git + Jenkins + Docker + Kubernetes

Build a complete CI/CD pipeline — code pushed to Git triggers Jenkins, which builds a Docker image, runs tests, pushes to Docker Hub, and deploys to a Kubernetes cluster automatically.

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Cloud Infrastructure with Terraform Terraform + AWS + VPC + EC2

Provision a complete AWS infrastructure — VPC, subnets, EC2 instances, security groups, and S3 storage — using AI-generated Terraform configurations and deploy an application to it.

monitoring
Application Monitoring Stack Prometheus + Grafana + AlertManager

Deploy a full monitoring stack for a Kubernetes application — Prometheus metrics scraping, Grafana dashboards, AlertManager notifications to Slack, and application health monitoring.

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AI-Assisted Full DevOps Platform Copilot + Claude + Complete Stack

Build an entire DevOps platform from scratch using AI tools — Copilot generates the Jenkinsfile and Kubernetes YAML, Claude debugs issues, and ChatGPT writes the project documentation.

Certification

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Thick Brain Technology — Core DevOps Engineering Certificate

Upon completing all labs and the capstone, you receive a verified TBT certificate in Core DevOps Engineering — covering Linux, Git, Docker, CI/CD, Kubernetes, Terraform, and monitoring. Recognised by DevOps hiring managers and directly linked to your LinkedIn profile.

check_circleIndustry-recognised check_circleVerifiable check_circleLifetime access

Career Opportunities

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Junior DevOps Engineer

Enter the DevOps field with hands-on experience in CI/CD, Docker, Kubernetes, and infrastructure automation.

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Build & Release Engineer

Manage software build systems, release pipelines, and deployment automation using Jenkins and GitHub Actions.

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Junior Cloud Engineer

Manage cloud infrastructure resources on AWS or Azure with Terraform and monitoring tools.

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Platform Engineer (Junior)

Support platform engineering teams with Kubernetes cluster operations, monitoring, and automation scripting.

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Linux System Administrator

Manage enterprise Linux servers with administration skills, automation scripts, and Ansible configuration management.

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Infrastructure Engineer

Provision and manage IT infrastructure using Terraform, Ansible, and cloud platforms for development teams.

Frequently Asked Questions

Basic computer skills and comfort with typing commands is all you need. No programming, Linux, or IT background required. We start from zero and build up systematically.
GitHub Copilot explains what each line of a Dockerfile does and generates examples. Claude answers "why does this work?" questions instantly. ChatGPT helps debug errors without frustration. AI makes the beginner learning curve significantly less steep.
Yes — all labs run on real Linux VMs, real Docker containers, and real Kubernetes clusters. Not simulations. You'll see genuine error messages and learn how to fix them — exactly what employers test.
Most students who complete all labs and mock interviews land a DevOps role within 2–3 months. We provide CV review, LinkedIn profile assistance, referrals to hiring partners, and ongoing support.
55 hours of content. We recommend 2 hours/day — most students complete in 6–8 weeks. Lifetime access lets you revisit any module at any time.

Student Success Stories

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Suresh K.
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"I was a manual QA engineer for 4 years with zero DevOps experience. Six weeks after finishing this course, I landed a Junior DevOps role with a 60% salary increase. The mock interviews and CV review were invaluable."

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Nandita M.
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"The AI learning accelerator is a game-changer for beginners. When I didn't understand why a Kubernetes command worked, I asked Claude and got a clear explanation instantly. Copilot generated examples I could run immediately."

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Aditya S.
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"The capstone project gave me something concrete to show in interviews. I walked through my full CI/CD pipeline on screen and the interviewer hired me on the spot. Real projects beat theoretical knowledge every time."

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