DevOps on AWS
CI/CD, infrastructure as code, containers and observability using AWS services.
- ✓ Instructor-led live sessions, online or in Bengaluru
- ✓ Hands-on labs in every module
- ✓ Capstone project with trainer review
- ✓ Curriculum customisable for corporate teams
- ✓ Certificate of completion
Next batch: Sat, 09 Jan 2027 · 24 hours · 3 days
DevOps on AWS
Duration: 24 hours · 3 days
Next batch: Sat, 09 Jan 2027
Format: Online live · Bengaluru classroom
Modules: 7 · Topics: 34
Level: Intermediate to Advanced
Fee: ₹10,999
Trusted by leading experts
Upcoming batches
Open batches for individuals; corporate batches on your dates.
| Programme | Starts | Mode | Schedule | Duration | |
|---|---|---|---|---|---|
| DevOps on AWS | Sat, 09 Jan 2027 | Online live | Weekend (Sat) | 4 Saturdays | Enquire |
| DevOps on AWS | Mon, 15 Mar 2027 | Bengaluru classroom | Weekday | 3 days | Enquire |
Soaring demand, and where it takes you
Teams running on AWS need engineers who can automate delivery and operations on the platform.
Become an expert
Roles this programme prepares you for:
Become a AWS DevOps Engineer
Automates delivery and operations on AWS.
- Build CI/CD pipelines with AWS developer tools
- Provision infrastructure with CloudFormation and CDK
- Deploy containers to ECS and EKS
About the course
DevOps on AWS: CI/CD with CodePipeline and CodeBuild (and third-party tools), infrastructure as code with CloudFormation and CDK, containers on ECS and EKS, and observability with CloudWatch.
CI/CD, infrastructure as code, containers and observability using AWS services.
Why should I attend?
DevOps engineers
Developers deploying on AWS
Cloud engineers
SREs
Prerequisites
AWS fundamentals; Git; scripting basics
Level
Intermediate to Advanced
Delivery modes, duration and fee
Online live
Instructor-led virtual classroom; weekday (full-day) or weekend (Saturday) batches
Bengaluru classroom
In-person batches at our Bengaluru training venue
On-site at your office
Private corporate batch anywhere in India, scheduled around your teams
Blended
Live sessions plus guided self-paced labs and mentor check-ins
Duration: 24 hours · 3 days
Course fee (open batch): ₹10,999
Corporate / team batches: per-participant or flat batch pricing on request, based on group size, format and customisation.
What will you learn
- Build CI/CD pipelines with AWS developer tools
- Provision infrastructure with CloudFormation and CDK
- Deploy containers to ECS and EKS
- Implement deployment strategies
- Monitor and alert with CloudWatch
- Apply security best practices to pipelines
Skills you will gain
Delivery
Infrastructure
Operations
Tools and platforms covered
Course curriculum
M01 DevOps on AWS
- Tooling landscape
- Accounts and environments
- IAM for pipelines
- Multi-account strategy
- Least-privilege roles
🧪 Hands-on: Plan a delivery setup
M02 CI/CD
- CodePipeline
- CodeBuild
- CodeDeploy
- Build specs
- Deployment groups
🧪 Hands-on: Build a pipeline
M03 Infrastructure as code
- CloudFormation
- CDK
- Stacks and environments
- Drift detection
- StackSets
🧪 Hands-on: Provision with CDK
M04 Containers
- ECR
- ECS and Fargate
- EKS overview
- Image scanning
- Service discovery
🧪 Hands-on: Deploy a container service
M05 Observability
- CloudWatch metrics and logs
- Alarms
- X-Ray
- Dashboards
- Synthetic checks
🧪 Hands-on: Add monitoring and alarms
M06 Security and reliability
- Secrets Manager
- Deployment strategies
- Rollbacks
- Parameter Store
- Automated rollback
🧪 Hands-on: Harden the pipeline
M07 Capstone: AWS delivery pipeline
- Infrastructure
- Pipeline
- Containers
- Observability
🧪 Hands-on: Deliver a monitored blue-green deployment on AWS
Hands-on projects
AWS delivery platform
An app delivered through CI/CD to ECS with IaC and monitoring.
Why train with us
Built around your stack
Labs and examples adapted to the tools, cloud and data your team actually uses.
Practice-first
Every module ends in a lab, and the course ends with a reviewed capstone.
Practitioner-led
Delivered by Karthick Selvam and vetted specialist trainers from our network.
Visible progress
Attendance, lab completion and assessment results shared with your L&D team.
Certificate of completion
Participants who complete the labs and capstone receive a Learning Dots certificate of completion for DevOps on AWS. [confirm certificate wording / sample image]
Learner reviews
“[Verified learner review for this course]”
“[Verified learner review for this course]”
Meet your trainer
Karthick Selvam
Founder · Data Engineering Corporate Trainer, Bengaluru
[Trainer bio, experience and areas of expertise]
Frequently asked questions
Does this prepare for the AWS DevOps Engineer exam?
It covers related topics; check AWS's current exam guide.
Can the curriculum be customised for our team?
Yes. Modules, depth, duration and labs can be tailored to your stack and goals.
What delivery formats are available?
Online live instructor-led sessions, Bengaluru classroom, or on-site at your office.
How do we enquire or book?
Use the enquiry form on this page or the Enquire button next to any batch.
What does it cost?
The open-batch fee is ₹10,999 per participant plus GST. Corporate batches are priced on group size, format and customisation.
How long is the course?
24 hours · 3 days. Corporate batches can be split into half-day sessions.
A closer look
About this course
DevOps on AWS: CI/CD with CodePipeline and CodeBuild (and third-party tools), infrastructure as code with CloudFormation and CDK, containers on ECS and EKS, and observability with CloudWatch.
What is DevOps on AWS?
CI/CD, infrastructure as code, containers and observability using AWS services.
Who this course is for
DevOps engineers, Developers deploying on AWS, Cloud engineers, SREs.
What you will be able to do
Build CI/CD pipelines with AWS developer tools. Provision infrastructure with CloudFormation and CDK. Deploy containers to ECS and EKS. Implement deployment strategies. Monitor and alert with CloudWatch. Apply security best practices to pipelines.
Career paths
Roles this course supports include AWS DevOps Engineer, Cloud Platform Engineer, Site Reliability Engineer. Teams running on AWS need engineers who can automate delivery and operations on the platform.
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DevOps & SRE guides
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