Live Class 01: Course Overview, Lab and AI Workspace Setup

Topics: Course roadmap and the single three-tier project thread used across all modules | Cloud account and Git repository onboarding | Setting up an AI coding assistant in the IDE and an AI agent in the terminal | Safe AI usage rules: never paste secrets or credentials into prompts, verify every command, review every change before applying | Running the DevOps demo application locally and exposing it with ngrok

Live Class 02: DevOps in 2026: Roles, Skills and How AI Changes the Job

Topics: DevOps engineering, SDLC and DevOps culture | 2026 role map: DevOps Engineer, Platform Engineer, SRE, DevSecOps Engineer, MLOps and AI Infrastructure Engineer | What AI now automates (pipeline YAML, boilerplate IaC, first-pass incident triage) and what it does not (architecture judgment, trade-offs, accountability) | Prerequisites: SWE experience, networking knowledge | Soft skills, troubleshooting mindset and patience

Goal: Run the project locally, expose it over ngrok, and commit a personal AI usage rules file to the repository.

Assignment: Set up the AI workspace and write a one-page reflection mapping your target role from the 2026 role map.

Live Class 01: AWS EC2 and Linux Fundamentals

Topics: Introduction to AWS EC2, launching an instance, security groups and key pairs, SSH | Basic Linux commands, package manager (apt), process manager (systemctl) | Linux administration, file permissions and ownership, environment variables | Logs and monitoring, firewall with UFW, cronjobs and task scheduling, troubleshooting basics | AI-assisted log reading: ask the assistant, verify against the actual log, then act

Live Class 02: IAM, AWS CLI and Web Server Setup

Topics: IAM users, groups, roles and policies, IAM best practices | AWS CLI setup and configuration | Nginx installation, static site hosting, reverse proxy | Route53 and DNS, domain mapping, SSL with Certbot (Let's Encrypt) | AWS Budgets and billing alarms configured on day one

Goal: End-to-end production deployment: EC2, UFW, Nginx, Route53, HTTPS.

Assignment: Mini project: deploy a static site over HTTPS on your own domain with a billing alarm in place.

Live Class 01: Git for Teams: Branching, Reviews and Protection

Topics: Branching strategies (trunk-based and GitFlow), repository roles | Branch protection, restricting branch and history deletion | Forking workflow, upstream remote setup, pull requests | Conventional commits and pull request templates | AI-assisted pull request review: what to trust and what to check manually

Live Class 02: Break-Fix Lab: Debugging Linux and Network Issues with AI

Topics: Structured troubleshooting method: observe, form a hypothesis, test, confirm | Using an AI agent to diagnose deliberately broken servers (Nginx misconfiguration, DNS, file permissions, firewall rules) | Verifying AI suggestions against logs, man pages and official documentation | Writing a short incident note for each fix

Goal: Resolve three deliberately broken server scenarios and document which AI suggestions were correct and which were wrong.

Assignment: Submit the three incident notes plus a protected repository with a working pull request workflow.

Live Class 01: Three-Tier Architecture and Application Setup

Topics: Technology stack overview, database deep dive, backend architecture | Implementing the database and backend with required tools

Live Class 02: Frontend Development and AWS Deployment

Topics: Frontend architecture, AWS deployment walkthrough | Updating the application and the deployment, full architecture view | Generate an architecture diagram and README with AI, then correct its mistakes

Goal: Deploy and manage a production-ready three-tier application on AWS. This application is the project thread for the rest of the course.

Assignment: Three-tier deployment with a reviewed architecture README.

মডিউল ১ থেকে মডিউল ৪ পর্যন্ত যা যা আলোচনা হয়েছে, সেটার উপর ভিত্তি করে থাকবে একটা বড়সড় এসাইনমেন্ট ও লাইভ টেস্ট। ঝালিয়ে নিতে পারবেন নিজেকে।

Live Class 01: GitHub Actions Fundamentals

Topics: CI/CD concepts and benefits, Actions architecture (workflows, jobs, steps, runners) | First pipeline, YAML syntax basics, debugging pipeline failures | Generating and debugging workflows with an AI assistant | Reusable workflows and composite actions | Security review of AI-generated pipelines: pinned action versions, least-privilege permissions

Live Class 02: Automate Full Three-Tier Deployment

Topics: Automating deployment of the three-tier application, SSH deploy to EC2 | OIDC federation from GitHub to AWS, removing long-lived access keys | Configuring secrets securely, zero-downtime deployments | Monitoring deployment logs and handling rollbacks

Goal: A secure, automated CI/CD pipeline for the three-tier application with keyless AWS authentication.

Assignment: Pipeline with OIDC, pinned actions and a documented rollback.

Live Class 01: Monitoring Fundamentals, Prometheus and OpenTelemetry

Topics: Why monitoring matters, Prometheus setup on EC2, Node Exporter | Configuring Prometheus scraping, PromQL | OpenTelemetry concepts: metrics, logs, traces and the OTel Collector

Live Class 02: Grafana, Loki, Tracing and Alerting

Topics: Grafana setup, Prometheus data source, dashboards, community dashboards | Three-tier application dashboard (backend API, frontend, database metrics) | Centralized logs with Loki | Instrumenting the backend with OpenTelemetry and viewing traces in Grafana Tempo | Writing PromQL and LogQL with AI assistance, then validating queries | Alerts for application health

Goal: Full metrics, logs and traces for the three-tier application, with actionable alerts.

Assignment: One dashboard that correlates a slow API request with its trace and logs.

Live Class 01: Basic Three-Tier Architecture (Public and Private Subnets)

Topics: AWS VPC architecture, custom VPC for the three-tier application | Public and private subnet design, internet gateway, route tables | Frontend in public subnet, backend and RDS in private subnets | NAT gateway, security groups per tier

Live Class 02: Production-Ready Fully Private Architecture with Load Balancer

Topics: Moving the frontend to a private subnet, AWS load balancers | ALB setup, target groups, exposing the application via ALB/NLB | End-to-end connectivity testing, network security best practices | NAT gateway and data transfer cost awareness

Goal: A production-ready, private-network three-tier application behind a load balancer.

Assignment: Network diagram plus a working fully private deployment.

Live Class 01: Terraform Fundamentals

Topics: Introduction to IaC, Terraform setup, architecture and workflow | First EC2 instance with Terraform, modules and security | Remote state management (S3) and state locking | Generating Terraform with AI and reviewing it properly: reading the plan, spotting destructive changes, blast radius | Static checks with tflint and Checkov

Live Class 02: VPC Architecture with Terraform

Topics: Terraform modules for multiple resources, VPC, subnets and networking as code | Load balancer, target groups and security groups as code, bastion host | Managing state and outputs | Terraform plan posted as a pull request comment from CI

Goal: Version-controlled, reviewed and policy-checked infrastructure for the full three-tier stack.

Assignment: Terraform repository with CI plan comments and zero high-severity Checkov findings.

Live Class 01: Auto Scaling for Three-Tier Applications (High Availability and Self-Healing)

Topics: AMI creation, launch templates, auto scaling groups | Health checks and self-healing, target tracking and step scaling | Load balancer integration, auto scaling managed with Terraform | Cost impact of scaling policies

Live Class 02: CI/CD with AWS CodePipeline to Auto Scaling Groups

Topics: CI/CD challenges with auto scaling groups | CodePipeline for backend and frontend auto scaling groups | Blue/green deployment strategy, zero-downtime techniques | Automating pipeline creation with Terraform

Goal: A highly available, auto-scaling three-tier system on AWS with CI/CD and IaC.

Assignment: Demonstrate an instance failure being healed automatically with no user-facing downtime.

মডিউল ৬ থেকে মডিউল ১০ পর্যন্ত যা যা আলোচনা হয়েছে, সেটার উপর ভিত্তি করে থাকবে একটা বড়সড় এসাইনমেন্ট ও লাইভ টেস্ট। ঝালিয়ে নিতে পারবেন নিজেকে।