AWS CLOUD · AI-POWERED · LIVE ONLINE 1:1

Learn AWS Cloud. Build Smarter with AI.

AI-Powered AWS Cloud Computing – Live 1:1 Training. Learn AWS foundations, deploy real infrastructure and use AI assistance to troubleshoot with confidence.

20 Instructor-Led Hours8 ModulesPractical AWS LabsTamil-Friendly Learning

Enquire for Live 1:1 Training Explore 20-Hour Syllabus

Instructor availability, schedule and fee are confirmed on enquiry. AWS service usage may incur additional charges.

AWS CLOUD OPERATIONS INTERACTIVE LAB

Student Portal · Architecture Studio

Watch cloud services work together.

Select a stage to explore the infrastructure.

Student Portal Users

AWS VPC · Protected Network

Amazon EC2Application

Amazon RDSDatabase

Amazon S3

CloudWatch

IAM + VPC · Identity and network boundaries reviewed

Protect access and design the network with least-privilege permissions.

Amazon Q Developer · AI AssistanceExplain commands · Review configurations · Troubleshoot errors

Concept illustration — no AWS resources are launched

One-to-one

Dedicated live instructor

20 Hours

Focused practical progression

AWS Hands-On

Build, deploy, troubleshoot

AI-Assisted

Verify every AI suggestion

TOOLS & CLOUD SERVICES

AWS services you will work with

Secure → Build → Connect → Monitor → Automate

Hands-on depth varies by service: core labs use IAM, EC2, S3, VPC and CloudWatch; advanced services are introduced at a practical beginner level.

IAM

Identity & security

EC2

Compute

S3 + EBS

Storage

VPC

Networking

RDS

Managed database

CloudWatch

Monitoring

AWS CLI

Operations

CloudFormation

Infrastructure as Code

Amazon Q Developer

AI assistance

Lambda, ALB & CloudTrail

Introductions

STRUCTURED 20-HOUR CURRICULUM

Eight connected modules. One practical outcome.

We begin with account safety, build infrastructure in stages, then complete a guided capstone. Every lab includes an instructor review and cleanup checklist.

01 / 04FOUNDATIONSStart safe

02 / 04BUILDDeploy cloud services

03 / 04OPERATE WITH AIInvestigate and improve

04 / 04CAPSTONEDeliver a working project

MODULE 012 HOURS

AWS Cloud Foundations

Cloud fundamentals, Regions and Availability Zones
AWS Console, CLI and shared responsibility
Account security, billing dashboard and AWS Budgets

Guided Lab: Set up MFA, budget alerts and AWS CLI safely

MODULE 022 HOURS

Identity, Access & Security

IAM identities, roles and policies
Least privilege and permission evaluation
Amazon Q-assisted IAM review

Guided Lab: Create an EC2 role and review a least-privilege policy

MODULE 033 HOURS

Compute & Application Hosting

EC2 instance types, AMIs and user data
Security groups, SSH and Systems Manager concepts
EBS and Lambda introduction

Guided Lab: Host a sample web application on EC2; debug common access errors

MODULE 042 HOURS

Storage & Databases

S3 buckets, access, encryption and versioning
RDS setup and secure connectivity
DynamoDB concepts

Guided Lab: Store static assets on S3 and explore a database connection

MODULE 053 HOURS

Networking with Amazon VPC

VPC, CIDR, public and private subnets
Route tables, Internet Gateway and NAT concepts
Security groups versus NACLs

Guided Lab: Draw and verify a simple application network design

MODULE 062 HOURS

Monitoring & Reliability

CloudWatch metrics, logs and alarms
CloudTrail activity visibility
Load Balancer and Auto Scaling fundamentals

Guided Lab: Inspect application metrics and create a practical alert

MODULE 072 HOURS

AI-Assisted Cloud Engineering

Amazon Q Developer for AWS and CLI explanations
CloudFormation starter template review
AI-assisted troubleshooting, verification and cleanup

Guided Lab: Review generated infrastructure code and diagnose a deployment problem

MODULE 084 HOURS

Guided AWS Capstone

Deploy a Student Portal application
Connect appropriate EC2, S3, IAM and monitoring services
Validate security, review costs and document cleanup

Guided Lab: Deliver a working demo, architecture diagram and deployment evidence

AI-ASSISTED CLOUD ENGINEERING

Use AI to investigate. Use AWS evidence to decide.

With Amazon Q Developer, learners practise asking focused questions about AWS permissions, CLI commands, CloudFormation templates and troubleshooting. They compare AI suggestions against logs, documentation, security and cost requirements before taking action.

Never paste credentials or private customer data into AI tools. AI-generated infrastructure code must be reviewed and tested.

01Understand an AccessDenied error without bypassing security

02Review an EC2 user-data deployment script

03Explain CloudWatch log evidence

04Check a CloudFormation draft before deployment

YOUR CAPSTONE PROJECT

Deploy a Student Portal on AWS

Use EC2 for the application, S3 for assets, IAM for appropriate permissions and CloudWatch for observability. Review a secure VPC layout; add RDS when appropriate for readiness and budget. Finish with an architecture diagram, deployment notes, verification evidence and resource cleanup.

Deploy a working app

Validate security controls

Review logs and costs

Document and clean up

Who is this 1:1 AWS training for?

Students and freshers beginning cloud computing

Developers and IT professionals adding AWS skills

System administrators moving toward cloud operations

Frequently asked questions

Is AWS Cloud training suitable for a beginner?

Yes. We begin with cloud fundamentals and AWS account safety before moving into practical labs. Basic computer knowledge helps; prior AWS experience is not required.

Is this AWS training online and taught in Tamil?

It is a live one-to-one online program with Tamil-friendly explanations and standard English technical terminology. Learners in India or overseas can enquire about suitable schedules.

How long is the program?

The core program is 20 instructor-led hours across eight modules, including a guided capstone project.

Is AWS certification preparation included?

The training builds practical AWS foundations. A complete exam-specific certification preparation plan is not included in the standard 20 hours; discuss certification goals with the instructor.

Will I need an AWS account and is AWS usage free?

A personal AWS account may be useful for labs. AWS usage can incur charges, depending on account eligibility, credits and the services deployed. We teach budgets, cost checks and cleanup before resource-intensive labs.

Which AI tools are covered?

Amazon Q Developer is the primary AI-assistance example, with optional GitHub Copilot discussions where available. AI-generated commands and policies are reviewed before use.

What happens in the capstone?

You deploy and review a simple Student Portal, then document architecture, monitoring, security controls and cleanup. RDS and advanced services depend on readiness and cost limits.

Will I have a dedicated trainer?

Yes, the program is structured as live one-to-one instructor-led training with hands-on explanation and feedback.

START YOUR CLOUD JOURNEY

Build AWS skills with a dedicated instructor.

Share your experience, learning goal and time zone. We'll help you plan the 20-hour program.

Enquire on WhatsApp