Cloud Computing & DevOps

// program overview

Cloud Computing & DevOps Training Program

Program Objective

To develop cloud-native and DevOps-ready professionals capable of designing, deploying, automating, and managing secure, scalable, and cost-effective cloud infrastructures and CI/CD workflows.

Training Tracks Overview

Cloud Fundamentals - Focuses on intro to cloud, core services, and deployment, targeting new hires and upskilling IT teams.

Cloud Architecture - Concentrates on designing scalable, secure cloud solutions for Cloud Engineers and Architects.

DevOps Practices - Covers automation, CI/CD, containerization, and Infrastructure as Code (IaC) for DevOps Engineers, SREs, and Platform Engineers.

Cloud Security & Ops - Emphasizes monitoring, cost optimization, and compliance for SysAdmins, CloudOps, and IT Managers.

  • Cloud Computing
  • DevOps Engineering
  • CloudOps & Security
  • Capstone Projects
  • Tools & Platforms
  • Training Formats
  • Evaluation

Track 1: Cloud Computing

Module 1: Cloud Foundations (Multi-Cloud)

  • Cloud models: IaaS, PaaS, SaaS
  • Shared responsibility model
  • Regions, zones, high availability

Module 2: AWS Essentials

  • EC2, S3, IAM, VPC, CloudWatch
  • Hands-on: Launch EC2 instance, setup S3 bucket
  • AWS CLI & SDK basics

Module 3: Azure Essentials

  • Azure VMs, Blob Storage, Azure AD, Monitor
  • Resource Groups and ARM templates
  • Hands-on: Deploy web app via Azure Portal

Module 4: GCP Essentials

  • Compute Engine, Cloud Storage, IAM
  • VPC, Cloud Functions, BigQuery basics
  • Hands-on: GCP Console + Cloud Shell

Module 5: Cloud Architecture Patterns

  • Load balancing, autoscaling, failover
  • Multi-tier application architecture
  • Designing for cost, security, and performance

Module 6: Cloud Certification Prep (Optional)

  • AWS Certified Solutions Architect Associate
  • Microsoft Azure Administrator (AZ-104)
  • Google Associate Cloud Engineer

Track 2: DevOps Engineering

Module 1: DevOps Foundations

  • DevOps principles and culture
  • CI/CD pipelines overview
  • Agile, Scrum, and GitOps basics

Module 2: Version Control with Git & GitHub

  • Git fundamentals, branching strategies
  • Pull requests and code reviews
  • GitHub Actions basics

Module 3: CI/CD Pipelines

  • Jenkins, GitLab CI/CD, GitHub Actions
  • Pipelines as code (YAML)
  • Hands-on: Build, test, deploy flow for a Node.js app

Module 4: Infrastructure as Code (IaC)

  • Terraform: Providers, modules, state management
  • AWS CloudFormation & Azure Bicep basics
  • Hands-on: Provision VMs and storage via IaC

Module 5: Containers & Kubernetes

  • Docker: Images, containers, Dockerfiles
  • Kubernetes: Pods, deployments, services
  • Hands-on: Deploy app to Kubernetes cluster (Minikube/EKS/AKS/GKE)

Module 6: Monitoring, Logging, and Alerting

  • Prometheus + Grafana, ELK stack
  • Cloud-native monitoring (CloudWatch, Azure Monitor)
  • Alerting strategies and SLAs

Track 3: CloudOps & Security

Module 1: Identity & Access Management

  • IAM policies, RBAC vs ABAC
  • MFA, federation, and SSO

Module 2: Cost Management

  • Budgeting tools (AWS Cost Explorer, Azure Cost Management)
  • Rightsizing, reserved instances, autoscaling

Module 3: Compliance & Governance

  • Cloud compliance (HIPAA, GDPR, SOC2)
  • Policy-as-code: AWS Config, Azure Policy
  • Secrets management (AWS Secrets Manager, HashiCorp Vault)

Module 4: Disaster Recovery & Backup

  • RTO, RPO definitions
  • Backup strategies and tools
  • Cross-region replication and failover

Capstone Projects by Track

Cloud Computing

  • Build a multi-tier app on AWS using S3, EC2, RDS

DevOps

  • Set up a CI/CD pipeline using Jenkins + Docker + Kubernetes

CloudOps/Security

  • Design and monitor a secure Azure environment with IaC

Tools & Platforms Covered

Cloud Providers

  • AWS, Azure, GCP

DevOps Tools

  • Git, Jenkins, Terraform, Docker, Kubernetes, Helm

Monitoring

  • Prometheus, Grafana, ELK, CloudWatch

Infrastructure as Code

  • Terraform, Pulumi, CloudFormation, Bicep

CI/CD

  • GitHub Actions, GitLab CI, Azure DevOps Pipelines

Training Formats

Mode Description
Instructor-Led Live, hands-on sessions
Self-Paced LMS Modular, video + interactive labs
Lab-based Learning Real-world exercises with cloud labs
Microlearning Quick learning bites (5–15 mins)
Blended Learning Ideal for enterprise team enablement

Evaluation & Certification

Assessment Methods

  • Module-wise quizzes & hands-on challenges
  • Capstone project submission and peer review

Internal Certification

  • Aiprus Cloud Computing Certificate
  • Aiprus DevOps Engineering Certificate
  • Aiprus CloudOps & Security Certificate

Industry Certification Prep

  • AWS/Azure/GCP certifications
  • Certified Kubernetes Administrator (CKA)
  • Terraform Associate

Optional Add-ons

  • Train-the-Trainer program for internal enablement
  • Cloud migration workshops (e.g., lift-and-shift projects)
  • Integration with your LMS or LXP
  • Custom training per stack/team/platform
// Key Metrics

Key Metrics to Track

Time-to-Productivity

Track time-to-productivity for new cloud/DevOps hires

Deployment Success

Monitor CI/CD deployment frequency and success rates

Infrastructure Provisioning

Measure infrastructure provisioning time vs baseline

Certification Attainment

Track certification attainment and hands-on lab completions

Incident Reduction

Monitor reduction in production incidents post-training

Cloud DevOps Success

// Success Story

Enterprise Cloud Migration & DevOps Transformation

Challenge

A Fortune 500 company needed to migrate legacy applications to the cloud while implementing modern DevOps practices.

Solution

Comprehensive training program covering AWS migration, Kubernetes orchestration, and CI/CD pipeline implementation.

Outcome

Reduced deployment time by 75%, improved system reliability by 60%, and achieved 99.9% uptime.