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AWS Certified Solutions Architect – Associate
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4.8 (2099 Ratings)
– Designing and deploying scalable, highly available, and fault tolerant systems on AWS
– Lift and shift of an existing on-premises application to AWS
– Ingress and egress of data to and from AWS
– Selecting the appropriate AWS service based on data, compute, database, or security requirements
– Identifying appropriate use of AWS architectural best practices
– Estimating AWS costs and identifying cost control mechanism
Overview
The Syllabus
Curriculum Designed by Experts
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
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
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
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”
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
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
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
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
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
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
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
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
LINUX FUNDAMENTALS FOR CLOUD ENGINEERS
Duration: 12–15 Hours
Level: Beginner to Early-Intermediate
Pre-requisites: Basic IT knowledge
1. Linux & Cloud Overview
- Why Linux dominates Cloud platforms
- Linux distributions in Cloud
- Amazon Linux, RHEL, Ubuntu
- Linux vs Windows in cloud workloads
- SSH & key-based access concept
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
3. Linux File System & Commands (Must-Know)
- Linux directory structure
- File & directory commands
- ls, cd, pwd
- cp, mv, rm
- touch, mkdir
- Viewing files
- cat, less, more, head, tail
- Search & filters
- grep, find
- File permissions
- chmod, chown
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
5. Package Management
- Package managers
- yum, dnf, apt
- Installing, updating & removing packages
- Repositories concept
Hands-On
- Install Apache / Nginx
- Verify running services
6. Process & Service Management
- Linux processes
- ps, top, htop
- Service management
- systemctl
- Enable services at boot
- Troubleshooting crashed services
7. Networking Basics (Cloud-Relevant)
- IP addressing basics
- Check network info
- ip, ss, netstat
- DNS resolution
- Ports & firewall basics
- firewalld, iptables (intro)
- Security Groups vs Linux firewall
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
9. Logs & Troubleshooting
- Log locations
- /var/log
- Important logs
- messages, secure, syslog
- Journal logs
- journalctl
- Basic troubleshooting approach
10. Automation Basics for Cloud
- Shell scripting fundamentals
- Environment variables
- Cron jobs
- Startup scripts (cloud bootstrapping)
11. Security Basics for Cloud Linux
- SSH hardening
- Disable root login
- Key-based authentication
- File permission best practices
12. Linux for DevOps & Cloud Tools
- Linux + Git basics
- Linux + Docker (intro)
- Linux + Cloud CLI tools
- AWS CLI / Azure CLI (concept)
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
DEVOPS FUNDAMENTALS FOR CLOUD ENGINEERS
Duration: 10–12 Hours
Level: Beginner → Early-Intermediate
Pre-requisites:
- Basic Linux
- Basic Cloud (AWS/Azure/GCP fundamentals)
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
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
3. Version Control (Mandatory Skill)
- Git fundamentals (Ops-focused)
- Repos, commits, branches, tags
- Git workflow for Cloud Engineers
- GitHub / GitLab / Bitbucket overview
Hands-On
- Create repo
- Push infra/config files
- Rollback using Git
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
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)
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
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)
8. Monitoring, Logging & Reliability
- Observability basics
- Metrics, Logs, Traces
- Cloud monitoring tools
- CloudWatch / Azure Monitor
- Prometheus & Grafana overview
- Incident response basics
- SRE principles (intro)
9. Security in Cloud DevOps (DevSecOps)
- Shared Responsibility Model
- Secrets management
- IAM & RBAC in pipelines
- Shift-Left Security
- Vulnerability scanning (concept)
10. Cost, Governance & Automation
- Cost optimization mindset
- Auto-scaling & right-sizing
- Policy as Code (concept)
- Automation with cloud CLIs & scripts
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
Tools Covered (Concept + Demo)
- Git
- Jenkins / GitHub Actions
- Docker
- Kubernetes
- Terraform
- Cloud Monitoring Tools
PYTHON FOR SYSTEM ADMINISTRATORS
Duration: 7 Hours
Objective
Enable Linux admins to automate system administration tasks using Python scripts.
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.
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%.
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.
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.
Upcoming BATCHES
| Start Date | Time | Day | Mode | Enroll Now |
|---|---|---|---|---|
| 03/05/2025 | 08:00 AM TO 10:00 AM | Weekend | Offline | Enroll Now |
| 03/05/2025 | 10:00 AM TO 01:00 PM | Weekend | Offline | Enroll Now |
| 01/05/2025 | 07:30 PM TO 09:30 PM | Weekday | Offline | Enroll Now |
| 01/05/2025 | 09:00 AM TO 11:00 AM | Weekday | Offline | Enroll Now |
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AWS Certified Solutions Architect – Associate Course Certification with Training in Kochi
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