CLOUD COMPUTING - AWS

★★★★★

(2,095 ratings) 50,000+ Student

AWS Certified Solutions Architect – Associate

Basic → Advanced AWS Solution Architect syllabus, designed to make you a Job-Ready Advanced Cloud Engineer. This is much deeper than the AWS SAA-C03 exam syllabus — it includes real-time enterprise scenarios, architectures, troubleshooting, DevOps + Cloud integrations, and hands-on labs used in top MNCs. Will be also covering Fundamentals of Linux and Devops and Python Scripting along with this course .

Radical Technologies

50,000+ English 60 hours Weekdays / Weekends Classroom / Online / Corporate

Online / Classroom

IT Training Programme

Duration 60 hours

Batch Type Weekdays / Weekends

Mode of Training Classroom / Online / Corporate

Locations Pune, Bangalore, Kochi

Language English

Certification Globally Recognized

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100% placement assistance

What you'll learn

Understand core concepts and architecture from the ground up

Get hands-on with the tools used by working professionals

Build real-world projects you can add to your portfolio

Learn industry best practices and coding standards

Practice with real datasets and real-world scenarios

Prepare for certification and technical interviews

Work on collaborative, team-based exercises

Apply performance tuning and optimization techniques

Understand how the technology fits into a larger ecosystem

Complete assignments reviewed by mentors

Programme Overview

44 sections covering the complete curriculum — a single, progressive learning arc.

60 hours

Training Duration

Core Modules

341

Total Lessons

4.4★

Average Rating

50K+

Students Trained

Foundations & Core Concepts

Get hands-on with the fundamentals and architecture — the building blocks for everything that follows.

Fundamentals Architecture Setup

Hands-On Practical Training

Work through real exercises and assignments designed to mirror what you will do on the job.

Practicals Assignments Labs

Real-World Projects

Apply what you have learned to end-to-end projects that go straight into your portfolio.

Projects Portfolio Case Studies

Advanced Techniques

Go beyond the basics with advanced concepts, integrations and production-grade practices.

Advanced Integration Best Practices

Ecosystem Integration

Understand how this technology connects with the broader tools and platforms used in the industry.

Ecosystem Tools Platforms

Performance & Interview Prep

Master optimization techniques and prepare for the technical interview questions employers actually ask.

Optimization Interview Prep Certification

Who is this programme for?

Whether you're already writing code, working with data, or supporting applications today — this programme is built to take you into a CLOUD COMPUTING - AWS role.

Software Developers

Engineers who want to add this skill set to their toolkit

Analysts & Consultants

Professionals moving into a more technical, hands-on role

IT Professionals

System admins and support engineers upskilling into a new domain

Fresh Graduates

CS/IT graduates aiming for a job-ready technical role

Course Curriculum

44 sections • 341 lessons • 60 hours

Jump to Section

Total Duration

60 hours

100% Practical · Unlimited Doubt Sessions

01 AWS SOLUTION ARCHITECT – BASIC TO ADVANCED (JOB-ORIENTED) FULL SYLLABUS

Ideal for:

✔ Cloud Engineer

✔ AWS Solutions Architect

✔ DevOps + Cloud Engineer

✔ Cloud Infrastructure Engineer

✔ SRE / Platform Engineer

02 Module 1: Cloud Basics & AWS Foundation (4–5 Hours)

Topics

Cloud Computing fundamentals

IaaS, PaaS, SaaS models

AWS Global Infrastructure

Regions, AZs, Edge Locations

Shared Responsibility Model

AWS Well-Architected Framework (all 6 pillars)

Billing & Cost fundamentals

IAM basics — Users, Groups, Policies

Labs

Create AWS account

Configure Billing Alerts

IAM Users + MFA setup

03 Module 2: Identity & Access Management (IAM) – Deep Dive (3–4 Hours)

Topics

IAM Policies & Policy Evaluation Logic

Roles, STS, Access Keys

Permission Boundaries

Resource Policies, Trust Policies

Cross-Account Access

Organizations & SCP (Service Control Policies)

Identity Center (SSO) Integration

IAM Analyzer

Labs

Create IAM roles with cross-account access

Create SCPs to restrict admin users

IAM Access Analyzer to detect over-permissioned roles

04 Module 3: VPC & Networking (Advanced Level) – 8–10 Hours

Topics

VPC Core Concepts

Subnets, Route Tables, IGW, NAT, NACL vs SG

VPC Endpoints (Gateway + Interface)

DHCP Options Set

Public vs Private Subnet Design

Advanced VPC

Transit Gateway

VPC Peering (Inter-region, Intra-region)

Hybrid Networking

VPN Site-to-Site

Direct Connect

Multi-VPC Hub & Spoke architectures

IPv6 end-to-end networking

DNS: Route53 deep dive

Private Hosted Zones

Failover Routing

Geolocation Routing

Labs

Build multi-AZ VPC

Create PrivateLink endpoint for internal apps

Connect 2 VPCs using peering

Configure Transit Gateway multi-VPC communication

Job-Oriented Scenarios

›“Intermittent packet loss from private subnet” troubleshooting
›“Application reachable via IGW but not via internal LB”
›“Hybrid network outage RCA”

05 Module 4: EC2 & Compute Mastery (5–7 Hours)

Topics

EC2 instance families, Nitro architecture

Launch Templates, Auto Scaling Groups (ASG)

Placement Groups (Cluster, Spread, Partition)

Spot Instances — diversification, capacity handling

EBS types, performance tuning (PIOPS)

Instance Store vs EBS vs EFS

EC2 metadata IMDSv2

Elastic Load Balancing (ALB, NLB, GLB)

Autoscaling advanced

Step scaling

Predictive scaling

Target tracking

Labs

Create Auto-Scaling group with ALB

Configure NLB + PrivateLink

EC2 rescue for failed boot

AMI building & automation

Job Scenarios

›EC2 instance CPU spikes troubleshooting
›ASG not scaling during high load Root volume corruption recovery

06 Module 5: Storage & Databases (5–6 Hours)

Topics

Storage

EBS (GP3, IO2) optimization

EFS (performance modes, concurrency)

FSx (Windows, Lustre, OpenZFS)

S3 internals & Security

Object Lock

Lifecycle & Intelligent Tiering

S3 Access Points

Replication (CRR/SSR)

Databases

RDS (Multi-AZ, Read Replicas)

Aurora (Serverless v2, Global DB)

DynamoDB (streams, DAX, on-demand)

ElasticCache (Redis & Memcached)

Redshift architecture

Labs

S3 bucket policy & encryption

Deploy Aurora with automatic failover

EFS for web servers in ASG

DynamoDB with Autoscaling

Job Scenarios

›RDS failover troubleshooting
›S3 public access blocker bypass recovery
›DynamoDB throttling issues

07 Module 6: Containers, Serverless & Modern Architecture (5–7 Hours)

Topics

Containers

ECS architecture

EC2 vs Fargate launch types

ECR Lifecycle Policies

Service Mesh with App Mesh

Serverless

AWS Lambda: versions, aliases, layers

Step Functions (Standard vs Express)

EventBridge advanced patterns

API Gateway (REST vs HTTP vs WebSocket)

SQS/SNS patterns

Kinesis Data Streams + Firehose

Labs

Deploy a serverless API (API GW → Lambda → DynamoDB)

Deploy ECS service with ALB

Build CI/CD for ECR + ECS

Job Scenarios

›Lambda timeout debugging
›ECS task stuck in PENDING

08 Module 7: Infrastructure as Code – Terraform & CloudFormation (4–6 Hours)

Topics

CloudFormation templates

Nested stacks

Drift detection

Terraform:

Modules

Workspaces

State management

Remote state backends

Terraform + AWS integration patterns

Labs

Build VPC using Terraform

Automate ALB + ASG infra using IaC

Migrate manual resources to Terraform

Job Scenarios

›Terraform state corruption fix
›Drift between manual & IaC deployment

09 Module 8: Monitoring & Logging (3–4 Hours)

Topics

CloudWatch Metrics, Logs, Alarms

Container Insights

CloudTrail advanced logging

OpenSearch for log analytics

X-Ray tracing for distributed apps

Labs

Create metric alarms for ASG & RDS

Centralized logging using CloudWatch + OpenSearch

Trace application latency using X-Ray

Scenarios

›Disk burst on EC2 leading to slow website
›Lambda cold-start monitoring

10 Module 9: Security, Compliance & Governance (5–6 Hours)

Topics

KMS CMKs, Auto-Key Rotation

Secrets Manager & Parameter Store

Inspector, GuardDuty, Macie

WAF + Shield Advanced

S3 bucket hardening

Zero Trust in AWS

IAM Access Analyzer

Config + Security Hub

CloudTrail multi-region setup

AWS Organizations & Governance

Labs

Encrypt EC2, RDS, and S3 with KMS

WAF rules for OWASP Top 10

Enable GuardDuty and detect threats

Scenarios

›Breached IAM keys rotation & containment
›S3 accidental public exposure fix

11 Module 10: High Availability, DR & Migration Strategies (6–8 Hours)

Topics

Multi-AZ vs Multi-Region design

Pilot Light, Warm Standby, Multi-Site DR

RPO/RTO calculations

AWS Backup strategies

Migration tools: SMS, DMS, Application Migration Service

Blue/Green & Canary deployments

Hybrid Cloud architectures

Global Accelerator

Failover Testing methodologies

Labs

Multi-Region failover using Route53

DMS for database migration

Lift & Shift migration of on-prem application

Scenarios

›Application outage in one region – failover to another
›Database migration with zero downtime

12 Outputs (What You’ll Gain)

✔ Real-world Solution Architect skills

✔ Enterprise Architecture Design capability

✔ Advanced VPC / Networking mastery

✔ Serverless + Containers production-level skills

✔ IaC automation (Terraform + CloudFormation)

✔ DR, Migration, HA expertise

✔ Troubleshooting experience (L1 → L3)

✔ Job-oriented tasks performed in MNCs

13 LINUX FUNDAMENTALS FOR CLOUD ENGINEERS

Duration: 12–15 Hours

Level: Beginner to Early-Intermediate

Pre-requisites: Basic IT knowledge

14 1. Linux & Cloud Overview

Why Linux dominates Cloud platforms

Linux distributions in Cloud

Amazon Linux, RHEL, UbuntuLinux vs Windows in cloud workloads

SSH & key-based access concept

15 2. Linux Installation & Access (Cloud Context)

Cloud VM concepts (EC2 / VM / Compute Engine)

Connecting to Linux Cloud VMs

SSH

Key pairs (.pem / .ppk)Terminal basics

Hands-On

›SSH to cloud Linux VM
›Understand directory structure

16 3. Linux File System & Commands (Must-Know)

Linux directory structure

File & directory commands

ls, cd, pwd

cp, mv, rm

touch, mkdirViewing files

cat, less, more, head, tailSearch & filters

grep, findFile permissions

chmod, chown

17 4. Users, Groups & Permissions

Users & groups

/etc/passwd, /etc/shadow, /etc/group

Sudo access

Secure permission practices in cloud

Hands-On

›Create cloud admin user
›Configure sudo access

18 5. Package Management

Package managers

yum, dnf, aptInstalling, updating & removing packages

Repositories concept

Hands-On

›Install Apache / Nginx
›Verify running services

19 6. Process & Service Management

Linux processes

ps, top, htopService management

systemctlEnable services at boot

Troubleshooting crashed services

20 7. Networking Basics (Cloud-Relevant)

IP addressing basics

Check network info

ip, ss, netstatDNS resolution

Ports & firewall basics

firewalld, iptables (intro)Security Groups vs Linux firewall

21 8. Storage & Disk Management

Linux disk concepts

Mounting file systems

Cloud disks (EBS / Persistent Disk)

Resize disks & file systems

VM not reachable via SSH

Disk full on cloud VM

Service not starting after reboot

High CPU usage troubleshooting

Securing production Linux VM

22 9. Logs & Troubleshooting

Log locations

/var/logImportant logs

messages, secure, syslogJournal logs

journalctlBasic troubleshooting approach

23 10. Automation Basics for Cloud

Shell scripting fundamentals

Environment variables

Cron jobs

Startup scripts (cloud bootstrapping)

24 11. Security Basics for Cloud Linux

SSH hardening

Disable root login

Key-based authentication

File permission best practices

25 12. Linux for DevOps & Cloud Tools

Linux + Git basics

Linux + Docker (intro)

Linux + Cloud CLI tools

AWS CLI / Azure CLI (concept)

26 Real-World Cloud Scenarios

VM not reachable via SSH

Disk full on cloud VM

Service not starting after reboot

High CPU usage troubleshooting

Securing production Linux VM

27 DEVOPS FUNDAMENTALS FOR CLOUD ENGINEERS

Duration: 10–12 Hours

Level: Beginner → Early-Intermediate

Pre-requisites:

Basic Linux

Basic Cloud (AWS/Azure/GCP fundamentals)

28 1. DevOps for Cloud Engineers (Mindset + Reality)

Why DevOps is critical in Cloud

Traditional Ops vs Cloud Ops vs DevOps

DevOps Culture (CALMS)

Cloud Engineer vs DevOps Engineer vs SRE

Real DevOps responsibilities in cloud teams

29 2. Cloud-Native DevOps Lifecycle

CI/CD in Cloud environments

Infrastructure lifecycle in cloud

Immutable vs mutable infrastructure

Blue-Green & Canary deployments (concept)

DevOps lifecycle mapped to AWS/Azure/GCP

30 3. Version Control (Mandatory Skill)

Git fundamentals (Ops-focused)

Repos, commits, branches, tagsGit workflow for Cloud Engineers

GitHub / GitLab / Bitbucket overview

Hands-On

›Create repo
›Push infra/config files
›Rollback using Git

31 4. CI/CD Fundamentals (Cloud Perspective)

Continuous Integration vs Continuous Delivery vs Deployment

Pipeline stages

Jenkins / GitHub Actions / GitLab CI (overview)

Cloud-native CI/CD tools

AWS CodePipeline

Azure DevOps

Demo

CI pipeline flow walkthrough

32 5. Containers for Cloud Engineers

Why containers dominate cloud

Docker architecture

Image vs Container

Container registry (ECR / ACR / Docker Hub)

Hands-On

›Run containerized application
›Push image to registry (demo)

33 6. Kubernetes Fundamentals (Cloud-Native Ops)

Why Kubernetes in cloud

Cluster architecture

Nodes, Pods, Services

Managed Kubernetes

EKS / AKS / GKE

Kubernetes vs VM-based deployments

34 7. Infrastructure as Code (IaC)

Why IaC is mandatory for cloud

Terraform overview

CloudFormation / ARM templates (concept)

State management

IaC best practices

Use Case

Provision cloud infra using IaC (concept flow)

35 8. Monitoring, Logging & Reliability

Observability basics

Metrics, Logs, TracesCloud monitoring tools

CloudWatch / Azure MonitorPrometheus & Grafana overview

Incident response basics

SRE principles (intro)

36 9. Security in Cloud DevOps (DevSecOps)

Shared Responsibility Model

Secrets management

IAM & RBAC in pipelines

Shift-Left Security

Vulnerability scanning (concept)

37 10. Cost, Governance & Automation

Cost optimization mindset

Auto-scaling & right-sizing

Policy as Code (concept)

Automation with cloud CLIs & scripts

38 11. Real-World Cloud DevOps Scenarios

CI/CD pipeline failure troubleshooting

Application not reachable after deployment

Kubernetes pod crash loop

Infrastructure drift detection

Rollback strategies in production

39 Tools Covered (Concept + Demo)

Git

Jenkins / GitHub Actions

Docker

Kubernetes

Terraform

Cloud Monitoring Tools

40 PYTHON FOR SYSTEM ADMINISTRATORS

Duration: 7 Hours

Objective

Enable Linux admins to automate system administration tasks using Python scripts.

41 Module 1: Introduction to Python (1 Hour)

Topics

Introduction to Python

Why Python is popular for DevOps and system administration

Installing Python on Linux

Python interpreter and script execution

Writing first Python program

Lab

Write a script to print:

Hostname

Current date

System uptime

Assignment

›Create a Python script that displays:
›CPU usage
›Memory usage
›Disk usage.

42 Module 2: Python Basics for Automation (2 Hours)

Topics

Variables and data types

Lists, tuples, dictionaries

Conditional statements (if/else)

Loops (for / while)

Functions

Lab

Write scripts to:

Check disk space

List running processes

Assignment

›Create a script that monitors disk space and alerts when usage exceeds 80%.

43 Module 3: File Handling and System Interaction (2 Hours)

Topics

Reading and writing files

Log file analysis

Using OS module

Running Linux commands from Python

Working with environment variables

Lab

Create script to analyze Linux system logs.

Assignment

›Write Python script to:
›Check log files
›Detect error messages
›Generate report.

44 Module 4: Automation Scripts for Linux Admins (2 Hours)

Topics

Automating user creation

Backup automation

Monitoring scripts

Scheduling scripts using cron

Mini Project

Create server health monitoring script.

Tools & Technologies

Every tool listed here is installed, configured and used in a hands-on lab session.

Core Tools

Hands-On Labs

Practical Environment

Industry-Standard Tools

Real-World Setup

Guided Exercises

Skill Building

Sample Datasets

Practice Material

Practice & Projects

Mini Projects

Applied Practice

Assignments

Mentor Reviewed

Doubt Sessions

Live Support

Career Readiness

Resume Building

Career Support

Mock Interviews

Interview Prep

Certification Prep

Global Recognition

Deployment & Delivery

Production Practices

Real-World Ready

Best Practices

Industry Standards

341+

Hands-On Lessons

Core Modules

60 hours

Training Duration

100%

Practical Training

You don't just learn AWS Certified Solutions Architect – Associate. You ship it.

Three major projects, each mirroring how production teams actually work — from guided foundations to a portfolio-ready capstone.

PROJECT // 01

Guided Foundation Project

→Requirement Analysis

→Guided Implementation

→Mentor Review

→Iteration

Foundation Beginner

Apply the fundamentals in a structured, mentor-reviewed project

Take the core concepts from the first half of the curriculum and apply them to a realistic scenario, with guidance and feedback from your mentor at every step.

Structured project brief

Step-by-step implementation

Mentor feedback and review

Documented outcome

Stack Core Concepts Best Practices

PROJECT // 02

Applied Practice Project

→Scenario Design

→Independent Build

→Testing & Validation

→Peer Review

Applied Intermediate

Build a more independent project mirroring real production scenarios

Work through a project that combines multiple concepts from the curriculum, closer to how work is actually structured on the job — less hand-holding, more ownership.

End-to-end implementation

Testing and validation

Documentation

Peer/mentor review

Stack Applied Skills Testing

PROJECT // 03

Capstone Project

→Planning

→End-to-End Build

→Review & Refinement

→Presentation

Capstone Advanced

Take a project from requirements to a polished, portfolio-ready deliverable

Your final project — plan, build, test and present a complete solution using everything covered in the curriculum, reviewed by mentors before you graduate.

Complete working solution

Presentation-ready documentation

Mentor sign-off

Portfolio-ready deliverable

Stack Full Curriculum Portfolio

All 3 projects go directly into your portfolio & resume — reviewed by mentors before you graduate.

See Sample Project Reports

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Real-life Case Studies
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Radical Technologies is the leading IT certification institute in Pune, offering globally recognized certifications across various domains. With expert trainers and comprehensive materials, we ensure students gain in-depth knowledge and hands-on experience to excel in their careers. Our certification programs are tailored to meet industry standards — from cloud technologies to data science — empowering individuals to stay ahead in the ever-evolving tech landscape.

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At Radical Technologies, we are committed to your success beyond the classroom. Our 100% Job Assistance program ensures that you are not only equipped with industry-relevant skills but also guided through the job placement process. With personalised resume building, interview preparation, and access to our extensive network of hiring partners, we help you take the next step confidently into your IT career.