Professional AWS Cloud & DevOps Training

Course Curriculum

This program is designed to take students from foundational concepts to practical, job-ready Cloud and DevOps skills through guided instruction, hands-on labs, and real-world project work.

16 Modules

Structured learning path covering cloud, DevOps, automation, containers, IaC, and career readiness.

6–8 Months

Designed to provide enough depth, practice, and progression without rushing key concepts.

Live Online

Weekday and weekend options, with flexibility depending on the selected format.

Beginner Friendly

Accessible to learners with no prior IT experience and valuable for professionals upskilling.

What You Will Learn

The live curriculum currently covers cloud foundations, Python, IAM, compute, storage, networking, databases, infrastructure as code, migration, observability, containers, Kubernetes, CI/CD, governance, and career preparation. :contentReference[oaicite:2]{index=2}

Module 1 — Cloud Foundations & Core Concepts

Introduction to cloud computing and its business value
Cloud service models such as IaaS, PaaS, and SaaS
AWS global infrastructure: Regions, Availability Zones, and Edge Locations
Networking basics including IPs, subnets, and public vs private networks

Module 2 — Python Foundations for Cloud & DevOps

Python basics for scripting and automation
Working with files, JSON, and YAML
Functions, modules, and environment management
Introduction to automation with Boto3

Module 3 — Identity, Access & Security

IAM users, groups, roles, and policies
Authentication and authorization concepts
Least privilege and AWS security principles
Managing credentials and secrets securely

Module 4 — Storage, Compute & Load Balancing

Amazon S3 fundamentals and storage classes
Amazon EC2 core concepts, pricing, and management
Load balancers, HTTPS, certificates, and routing
Auto Scaling groups, health checks, and resilient design

Module 5 — Linux for Cloud Engineers

Linux file system navigation and permissions
Users, groups, services, and package management
Basic networking and SSH
Shell scripting foundations for automation

Module 6 — VPC & Advanced Networking

VPCs, subnets, route tables, and gateways
Security groups and network ACLs
Bastion host patterns and private access design
Endpoints, peering, Transit Gateway, VPN, and flow logs

Module 7 — DNS, APIs & Global Architectures

Route 53 hosted zones, records, and routing policies
API Gateway for managed APIs on AWS
Using custom domains for APIs
Three-tier architecture design principles

Module 8 — Databases & Caching

Relational vs NoSQL concepts in the cloud
RDS overview, availability, backups, and replicas
Database deployment and connectivity patterns
Introductory caching design concepts

Module 9 — Infrastructure as Code

Why infrastructure as code matters
Terraform configurations, modules, workspaces, and state
CloudFormation templates, stacks, and parameters
Choosing between Terraform and CloudFormation

Module 10 — Application & Database Migration

Migration phases and strategy planning
Discovery and assessment concepts
Application migration to AWS
Database migration patterns and transition planning

Module 11 — Observability, Monitoring & Automation

CloudWatch metrics, logs, dashboards, and alarms
Event-driven operations and automation
Operational visibility and auditing
Cost optimization through right-sizing and scheduling

Module 12 — Configuration Management

Core configuration management concepts
Agent vs agentless approaches
Managing standard server configurations at scale
Automation for consistency and compliance

Module 13 — Containers & Orchestration

Docker essentials and container fundamentals
Running applications in containers
Amazon ECS task and service concepts
Service discovery and integrations with AWS services

Module 14 — Kubernetes

Kubernetes architecture, pods, deployments, and services
Secrets, configuration, and storage basics
Networking and ingress concepts
Amazon EKS and managed Kubernetes on AWS

Module 15 — CI/CD Pipeline Engineering

SDLC, Agile, Scrum, and DevOps culture
Git fundamentals and collaboration workflows
Build automation, testing, and artifacts
Pipeline stages from code to deployment

Module 16 — Governance, Multi-Account & Enterprise Setup

AWS Organizations, guardrails, and policy-driven governance
Control Tower and landing zone concepts
Federated access and centralized identity patterns
Career readiness: resume, ATS keywords, interview prep, and project presentation

Duration, Schedule & Requirements

The current page states a 6–8 month duration, flexible weekday and weekend live sessions, and a self-paced option if applicable. It also says beginners can join, no prior experience is required, and students should have a computer with at least 8 GB RAM, stable internet, and optionally an extra monitor and headset. :contentReference[oaicite:3]{index=3}

Duration & Schedule

Course duration: 6–8 months
Live online sessions on weekdays
Live online sessions on weekends
Self-paced option available where applicable

Who Can Join?

Beginners with no IT background
IT professionals looking to upskill in AWS
Learners transitioning into Cloud and DevOps

Prerequisites

No prior experience required
Computer with at least 8 GB RAM
Stable internet connection
Optional extra monitor and headset