Duration: 12 Weeks (3 Months)

Format: Weekend Live Sessions (Saturday & Sunday - 3 hours/day) + Weekly Async Assignments

Prerequisites: Basic understanding of IT concepts (no prior coding required)

Outcomes: 3 Portfolio Projects, 1 End-to-End Capstone Project, Industry-Ready Hands-on AWS/DevOps Skills

Detail Syllabus:

Month 1: Foundation, Version Control & Linux Automation

Week 1: Foundations & Linux Administration

Linux architecture, file system, permission management, & SSH hardening.
Shell Scripting Essentials: Bash scripting, environment variables, automation scripts for log rotation, system health checks, and process management.
Hands-on Lab: AWS Account Setup with automating multi-server cleanup & health status reporting via Bash script.

Week 2: Source Code Management & Git Flow Strategies

Git Architecture, branching strategies (GitFlow, Trunk-Based Development).
Advanced Git Operations: Interactive rebase, cherry-picking, stash, and resolving merge conflicts.
Git Hooks & Security: Pre-commit hooks for secret detection (gitleaks, trufflehog).
Hands-on Lab: Designing a multi-environment branching workflow with automated secret scanning.

Week 3: AWS Core Infrastructure (Compute, Storage & Networking)

Ec2 Instnance, Virtual Private Cloud (VPC) deep dive: Subnets, Route Tables, Internet Gateways, NAT Gateways, & Security Groups.
EC2 deep dive: IAM roles, Instance types, Key pairs, and User Data bootstrap scripts.
AWS Storage Solutions: S3 (bucket policies, lifecycle rules, versioning) & EBS vs EFS.
Hands-on Lab: Provisioning a highly secure 2-tier VPC infrastructure manually via AWS Management Console.

Week 4: Application Load Balancing, Auto Scaling & Identity (IAM)

AWS IAM: Least privilege policy design, RBAC, Roles vs Users vs Groups.
High Availability (HA) Setup: Target Groups, Application Load Balancers (ALB), and Auto Scaling Groups (ASG).
Route 53 DNS routing and ACM SSL/TLS certificates configuration.
Hands-on Lab: Deploying an auto-scaling, fault-tolerant web application behind an ALB with custom domain SSL termination.

Month 2: CI/CD Pipelines, Containerization & Orchestration

Week 5: Containerization with Docker

Containers vs Virtual Machines; Docker Architecture & Engine.
Writing optimized Dockerfiles (multi-stage builds, caching layer optimization, non-root user security).
Docker Networking, Volume persistence, & Multi-container orchestration using Docker Compose.
Hands-on Lab: Containerizing a NodeJS/Python microservice application with a Redis/Postgres database.

Week 6: Enterprise CI/CD Pipelines with Jenkins & AWS Native CI/CD

Jenkins Setup on EC2: Master-Slave architecture, pipeline as code (Jenkinsfile).
Automated Build & Deployments: Integrations with Git, Docker, and AWS Elastic Container Registry (ECR).
AWS Native Tooling: CodeCommit, CodeBuild, CodeDeploy, & CodePipeline.
Hands-on Lab: Building an end-to-end automated Jenkins CI/CD pipeline triggered on GitHub git push to build, test, scan, and publish container images to ECR.

Week 7: Advanced Kubernetes & Cloud-Native CI/CD

Deep dive into Kubernets architecture, Master Node, worker node,namespace,pod,nodes etc..
Ingress Controllers (Nginx / AWS ALB Ingress Controller) & cert-manager integration.
Hands-on Lab: Setting up AWS EKS Create End to end deployment with Jenkins CICD tool.

Week 8: Managed Kubernetes on AWS (Amazon EKS) - Core

Kubernetes Core Concepts: Pods, Deployments, ReplicaSets, Services (ClusterIP, NodePort, LoadBalancer), Namespaces, and Ingress Control.
Amazon EKS: Control Plane architecture, Managed Node Groups, eksctl, & kubectl setup.
Configuration Management: ConfigMaps & Secrets management.
Hands-on Lab: Bootstrapping an EKS Cluster and deploying a multi-tier microservices application.

Month 3: Infrastructure as Code, Monitoring & Production Project

Week 9: Infrastructure as Code (IaC) with Terraform

Terraform Fundamentals: Providers, Resources, State File management, S3 Remote Backends with DynamoDB locking.
Modular Architecture: Creating reusable Terraform modules for VPC, EC2, and EKS.
Terraform Workspaces, Variables, Outputs, and dynamic blocks.
Hands-on Lab: Writing declarative Terraform code to automatically provision a production-grade VPC, EKS, and ECR environment.

Week 10: Observability, Monitoring & Logging

CloudWatch Metrics, Alarms, Logs Insights, and IAM log aggregation strategies.
Prometheus & Grafana Setup on EKS: Metrics scraping, custom dashboards, and Alertmanager configuration.
Distributed Tracing & Centralized Logging basics (Loki/FluentBit setup).
Hands-on Lab: Instrumenting an EKS cluster with Prometheus & Grafana to monitor node and container health in real-time.

Week 11: End-to-End Production Project

Project Architecture: Deploying a microservices architecture on EKS provisioned entirely via Terraform.
Pipeline Integration: Code commit -> Jenkins -> SonarQube Code Analysis -> ECR Image Push -> EKS -> Grafana Monitoring.
Capstone Review: Live debugging, load testing, security review, and architecture walkthrough.

Week 12: Career Acceleration, Resume & Topmate Mentorship

ATS-friendly Resume Building tailored specifically for DevOps / Cloud Engineering roles.
SScenario-based Production Outage Interview Questions (Scenario-based drills).
GitHub Portfolio Optimization & LinkedIn Personal Branding strategies.
Live 1-on-1 Mock Interviews & Final Q&A

Bonus Masterclass: Generative AI, Amazon Q & AWS SageMaker

Automating Terraform code, AWS CDK, and Shell scripts using AI inline generation.
AI-powered root-cause analysis for broken Jenkins pipelines and Kubernetes pod crash loops.
Security scanning & automated code refactoring using Amazon Q in IDEs.

Why You Should Join This Cohort

100% Production-Focused: No superficial tutorials. Every weekend session focuses on building, testing, and deploying.
Real-World Project: Build a complete microservices architecture on AWS EKS using Terraform, Jenkins to showcase on your resume.
Interactive Live Weekend Sessions: Learn directly through live coding, immediate Q&A instead of pre-recorded videos.
Career Acceleration & Portfolio Building: Get personalized resume optimization, ATS targeting, GitHub portfolio reviews, and scenario-based interview prep.
Small Batch : Limited batch size ensures personal attention with dedicated WhatsApp group support for week-day doubt clearing.

Frequently Asked Questions (FAQs)

Q: Who is this program for? A: IT or Non IT , QA engineers, cloud enthusiasts, or anyone with basic IT/Linux knowledge looking to transition into or upskill in DevOps Engineering.

Q: What are the timings and schedule? A: Classes are held live on weekends (Saturday & Sunday) for 3 hours each day. Continuous support provided via a private WhatsApp group.

Q: Do I need prior coding experience? A: No advanced coding background is required. We start with fundamental.

Q: Will I get hands-on experience with real AWS resources? A: Yes, you will provision real infrastructure using AWS Free Tier and enterprise tools throughout all 12 weeks of the program.

Q: What if I miss a live session? A: All live classes are recorded and made available to participants.

Q: How does this help with my job search? A: The final module includes resume rebuilding, project portfolio optimization, and mock interview sessions focused on real production outage scenarios.

LinkedIn Review

Abhishek Vishwakarma