Introduction

This certificate program introduces participants to modern DevOps practices, cloud infrastructure, and automation techniques used to build, deploy, and manage scalable software systems. The course combines core theoretical concepts with extensive hands-on labs, enabling participants to gain practical experience with industry-standard tools and workflows.

Throughout the bootcamp, participants will work with Git and version control, Docker, Amazon Web Services (AWS), Infrastructure as Code, CI/CD pipelines, Kubernetes, and modern monitoring and observability platforms. By the end of the program, participants will have the knowledge and practical skills required to design, automate, deploy, and monitor production-ready applications using contemporary DevOps methodologies.

Unique Selling Propositions                     

• Industry-oriented curriculum aligned with modern DevOps and Cloud Engineering practices.
• 100% hands-on practical sessions with real-world infrastructure deployments.
• Comprehensive coverage of Git, Docker, AWS, Terraform, CI/CD, Kubernetes, and monitoring tools.
• Project-based learning focused on production-ready infrastructure and deployment workflows.
• Infrastructure as Code (Terraform) for automated and reproducible cloud provisioning.
• CI/CD pipeline implementation using GitHub Actions and industry best practices.
• Containerization and orchestration using Docker and Kubernetes.
• Monitoring and observability using Grafana and modern monitoring stacks.
• Emphasis on automation, scalability, security, and operational best practices.
• Final capstone project showcasing a complete end-to-end DevOps workflow suitable for professional portfolios.

Objectives and Learning Outcomes

Upon completion of this bootcamp, participants will be able to:

• Understand the core principles, culture, and lifecycle of modern DevOps.
• Use Git and GitHub for version control and collaborative software development.
• Build, package, and manage applications using Docker containers.
• Provision and manage cloud infrastructure on AWS.
• Automate infrastructure deployment using Infrastructure as Code (Terraform).
• Design and implement CI/CD pipelines to automate application build, testing, and deployment.
• Deploy, manage, and scale containerized applications using Kubernetes.
• Configure monitoring, logging, and observability solutions using Grafana and related tools.
• Apply DevOps best practices for automation, security, scalability, and reliability.
• Build and deploy a complete production-ready application using an end-to-end DevOps workflow.

Key Topics / Related Concepts

Module 1: DevOps Fundamentals, Version Control & Git (3.5 Hours)

• Introduction to DevOps
• DevOps Culture & Principles
• Software Development Lifecycle (SDLC)
• Agile & DevOps
• Version Control Concepts
• Git Fundamentals
• Repositories
• Branching & Merging
• Pull Requests
• GitHub Collaboration
• Containerization Concepts
• Docker Architecture
• Images & Containers
• Dockerfile
• Docker Compose
• Volumes & Networking
• Container Registries
• Best Practices
• Cloud Computing Fundamentals
• AWS Global Infrastructure
• IAM
• EC2
• Security Groups
• SSH Access
• EBS Storage
• Amazon VPC
• Networking Basics
• Subnets & Route Tables
• Load Balancers
• Auto Scaling
• Amazon S3
• Introduction to Cloud Architecture
• Infrastructure as Code Concepts
• Terraform Fundamentals
• Providers
• Resources
• Variables & Outputs
• State Management
• Modular Infrastructure
• Provisioning AWS Resources
• Continuous Integration
• Continuous Delivery & Deployment
• GitHub Actions
• Pipeline Design
• Automated Build & Testing
• Deployment Strategies
• Secrets Management
• Kubernetes Architecture
• Pods
• Deployments
• Services
• ConfigMaps & Secrets
• Ingress
• Persistent Volumes
• Scaling & Rolling Updates
• Monitoring Fundamentals
• Metrics & Logging
• Grafana Dashboards
• Prometheus Overview
• Alerting
• Infrastructure Monitoring
• Application Observability
• Production Best Practices
• Project Planning
• Git Repository Setup
• Infrastructure Provisioning with Terraform
• Dockerizing the Application
• CI/CD Pipeline Implementation
• Kubernetes Deployment
• Monitoring Integration
• Dashboard Creation
• Troubleshooting & Debugging
• Deployment Validation
• Production Readiness Review
• Final Project Demonstration & Presentation

Module 2: Containers & Docker (3.5 Hours)

Module 3: Cloud Computing with AWS – Part I (3.5 Hours)

Module 4: Cloud Computing with AWS – Part II (3.5 Hours)

Module 5: Infrastructure as Code (3.5 Hours)

Module 6: CI/CD Pipelines (3.5 Hours)

Module 7: Kubernetes Orchestration (3.5 Hours)

Module 8: Monitoring & Observability (3.5 Hours)

Module 9: Capstone Project – Infrastructure & Deployment (3.5 Hours)

Module 10: Capstone Project – Monitoring & Presentation (3.5 Hours)

Activities and Learning Strategies

?  Interactive lectures.

?  Live coding demonstrations.

?  Weekly laboratory exercises.

?  Individual assignments.

?  Mini Android projects.

?  Code reviews.

?  Pair programming.

?  Quiz assessments.

?  Mid-course practical evaluation.

?  Final Capstone Project.

?  Project presentation and viva.

Venue / Facilities 

Venue: UMT Main Campus

Required Facilities:

• Computer Lab
• High-speed Internet Connectivity
• Windows/Linux systems with administrator access
• Visual Studio Code (or preferred code editor)
• Git
• Docker Desktop / Docker Engine
• AWS Account (or AWS Academy/Lab access)
• Terraform
• Kubernetes (Minikube or Kind)
• kubectl
• GitHub Account
• Projector
• Whiteboard
• Multimedia System