D24
Advanced SpecializationGrowthIntermediate6 weeks
AWS Cloud Engineering
AWS Cloud Engineering is a 6-week course giving hands-on experience with Amazon Web Services — EC2, S3, RDS, Lambda, and IAM — covering least-privilege access, serverless apps with Lambda and API Gateway, and monitoring with CloudWatch, so developers gain AWS-specific skills for cloud engineering or DevOps roles on the most in-demand cloud platform.
Get hands-on with Amazon Web Services — EC2, S3, RDS, Lambda, and IAM — building and deploying real applications on AWS specifically, the most in-demand cloud platform for jobs.
What you'll learn
Core AWS compute, storage, and database services
IAM users, roles, and least-privilege policies
Serverless apps with Lambda and API Gateway
Deploying and monitoring production workloads on AWS
Course details
Duration
6 weeks
Best for
Developers who want AWS-specific skills for cloud engineering or DevOps roles
Enrollment isn't open for this course yet — check back soon or contact us.
Course Curriculum
A module-by-module breakdown of what you'll cover in AWS Cloud Engineering.
01Getting Started & Environment Setup
4 topicsWeek 1
- Setting up a free-tier AWS account
- Installing and configuring the AWS CLI
- Creating an IAM user with programmatic access
- Verifying access with aws sts get-caller-identity
02Basic
4 topicsWeek 2
- Regions, availability zones, and the AWS global infrastructure
- IAM users, groups, roles, and policies
- EC2 instances and security groups
- S3 buckets and storage classes
03Intermediate
4 topicsWeek 3
- RDS for managed relational databases
- DynamoDB basics for NoSQL workloads
- Choosing the right database service
- Backups, snapshots, and cost control
04Advanced
4 topicsWeek 4
- Writing and deploying Lambda functions
- Exposing Lambda via API Gateway
- Event-driven triggers (S3, SQS, EventBridge)
- Cold starts and performance considerations
05Pro
8 topicsWeek 5
- CloudFormation / Terraform Basics on AWS
- CloudWatch Logs, Metrics, and Alarms
- AWS Budgets and Cost Allocation Tags
- Production Readiness Checklist
- Use workload roles instead of distributing broad credentials
- Choose compute from workload and operational responsibility
- Separate object, block and relational storage needs
- Design recovery from a stated failure scenario
06AI Pro
3 topicsWeek 6
- Using Claude, ChatGPT, and Perplexity for AWS Infrastructure Work
- Verifying AI-Suggested AWS Configurations Before Applying Them
- Project: AI-Assisted IAM Policy Authoring with Simulator Verification
Tools & Technologies
Hands-on practice with the same tools used by working professionals.
AWS
EC2EC2
S3S3
RDSRDS
LamLambda
APIAPI Gateway
CloCloudWatch
IAMIAM
TFTerraform
ChaChatGPT
ClaClaude
PerPerplexity
Need this built for your business instead?
If you'd rather have it done than learn it, our solutions team delivers this work for businesses directly.
Real-Time, Industry-Based Projects
This is project-based learning modeled on real industry scenarios — you'll build portfolio-ready work as you go, not just watch lectures.
Deployed web app on EC2 behind a load balancer
Serverless API using Lambda and API Gateway
RDS-backed application with automated backups
CloudWatch dashboard with cost and performance alarms
Every course includes a guided internship on top of your project work — so you graduate with real experience, not just a certificate.
Communication & Soft Skills
Built into every course, alongside the technical curriculum.
Communication Skills
Practice explaining technical work clearly to teammates, managers, and clients.
Practical AI Skills
Hands-on training in using AI tools well — prompting, everyday workflows, and where AI actually helps versus where it doesn't.
Teamwork & Collaboration
Work in small project teams using real workflows like stand-ups and code reviews.
Problem Solving
Build the habit of breaking down ambiguous problems into clear, solvable steps.
Time Management
Learn to plan, prioritize, and deliver project work against realistic deadlines.
Presentation Skills
Present your project work and results with confidence, as you would to a client.
Resume & Profile Building
Build a strong resume, LinkedIn profile, and project portfolio that recruiters notice.
Interview Preparation
Mock interviews and portfolio reviews to get you ready for real job applications.
Career & Placement Support
100% of students enrolled in AWS Cloud Engineering get full access to placement support — real tools and guidance, not just a promise. This is support and access, not a guaranteed job outcome.
Resume Builder
A resume auto-built from your real completed projects and certificates, ready to export.
Shareable Portfolio
A public portfolio page showcasing your approved projects, with a link you can share with employers.
Interview Preparation
Guidance on presenting your projects and experience clearly in real interviews.
Peer & Mentor Community
Ongoing access to our learner community for questions, feedback, and support after you finish.
What Your Certificates Look Like
Real, verifiable certificates with your name, AWS Cloud Engineering, and a QR code anyone can scan to confirm they're genuine — one for completing the course, and a separate one if you take the internship track.
Course Completion Certificate
SAMPLE
Data24ZoneCertificate of Completion
Illustrative recipient
Your Name Here
Example certificate for completion of
AWS Cloud Engineering
- Certificate No.
- D24-SAMPLE
- Mode
- Self-Paced
- Duration
- 6 weeks
- Example issue date
- On completion
Sample only — not a real, issued certificate.
Verification is available only on issued certificates.
Internship Completion Certificate
SAMPLE
Data24ZoneCertificate of Internship
Illustrative recipient
Your Name Here
Example certificate for completion of
AWS Cloud Engineering
- Certificate No.
- D24-SAMPLE
- Mode
- Internship
- Duration
- 6 weeks
- Example issue date
- On completion
Sample only — not a real, issued certificate.
Verification is available only on issued certificates.
Frequently Asked Questions
What will I learn in the AWS Cloud Engineering course?
You'll learn: Core AWS compute, storage, and database services; IAM users, roles, and least-privilege policies; Serverless apps with Lambda and API Gateway; Deploying and monitoring production workloads on AWS.
What tools and technologies does the AWS Cloud Engineering course cover?
This course covers: AWS, EC2, S3, RDS, Lambda, API Gateway, CloudWatch, IAM, Terraform, ChatGPT, Claude, Perplexity.
Is the AWS Cloud Engineering course beginner-friendly?
This is a intermediate-level course, so it assumes some prior familiarity with the subject. It starts with a "Getting Started & Environment Setup" module covering tool installation before the main curriculum.
How long does the AWS Cloud Engineering course take to complete?
The course is designed to be completed in approximately 6 weeks, depending on your pace.
What enrollment options are available for AWS Cloud Engineering?
Internship (₹2,499) — Work through real projects with our team and earn an internship certificate (course certificate not included). Self-Paced (₹1,999) — Learn anytime with the full recorded curriculum and community access.
Is there an internship option for AWS Cloud Engineering?
Yes — the Internship track means working through real projects with our team and earning a separate Internship Certificate.
Will I get a certificate after completing AWS Cloud Engineering?
Yes. Self-paced enrollment earns a course completion certificate once your final project is reviewed and approved. Internship enrollment earns an internship certificate once your internship projects are approved. Every certificate is publicly verifiable on our website and can be added directly to your LinkedIn profile.
What kind of projects will I build in AWS Cloud Engineering?
You'll work on real projects such as: Deployed web app on EC2 behind a load balancer; Serverless API using Lambda and API Gateway; RDS-backed application with automated backups; CloudWatch dashboard with cost and performance alarms.
Is placement support included with AWS Cloud Engineering?
Yes — every enrolled student gets full access to our placement support: resume building, a shareable project portfolio, mock interview preparation, and guidance applying what you've built to real job applications. This is support and access, not a guaranteed job outcome — how quickly it leads to an offer depends on the market and your own effort.
