DevOps Engineering on AWS Corporate Training
Run reliable delivery on AWS with instructor-led DevOps engineering training.
Your team learns to build CI/CD pipelines, manage infrastructure as code, and operate production workloads on AWS in guided hands-on labs.
Instructor-led group trainingVirtual / on-site / off-site10 languagesDelivered inEnglish, Spanish, Mandarin, German, Arabic, Portuguese, Hindi, French, Japanese, Italian100+ countriesWe have delivered inUnited States, United Kingdom, India, Canada, Germany, France, Netherlands, UAE, Saudi Arabia, Singapore, Australia, Japan, Brazil, South Africa and 90+ more countries
How we build a cloud-native delivery team
The Edstellar DEVOPS ENGINEERING ON AWS Capability Model
Diagnose delivery pain
We review your AWS delivery workflows, manual steps, and incident patterns to find where DevOps practices deliver the biggest gains.
Standardize AWS delivery
Your team learns one shared approach to pipelines, infrastructure as code, and observability used across every workload.
Practice in guided labs
Teams build real AWS pipelines in hands-on labs, with expert coaching on builds, templates, deployments, and monitoring.
Measure delivery outcomes
You track deployment frequency, recovery time, and cost efficiency against clear metrics tied to each improvement.
Scale what works
Winning pipeline and template patterns become reusable standards your whole organization can adopt on AWS.
Need more than one program?Get a group quote
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Program Overview: What is DevOps Engineering on AWS?
DevOps Engineering on AWS is a hands-on program for engineers running delivery pipelines on Amazon Web Services. It covers continuous integration on AWS, infrastructure as code, and deployment, monitoring, and incident response patterns. Teams learn to operate AWS-native pipelines that stay fast, observable, and recoverable.
Engineers work inside real AWS accounts from the first lab, building CI workflows, templating infrastructure with code, and wiring alarms that page before customers notice. Instructors review each setup for the usual AWS traps: over-permissive roles, untagged resources, and dashboards nobody reads. Deployment strategies and rollback drills run on live environments. The program ends with a production-ready AWS pipeline capstone, where teams deliver a working pipeline with monitoring and runbooks attached.
Manual AWS operations do not scale: click-ops environments drift, deploys depend on one hero engineer, and outages start with silent misconfigurations. Teams learn to define infrastructure as code, automate every deploy, and monitor what matters. AWS becomes a platform teams trust instead of a console they fear.
The capstone is a production-ready AWS pipeline your team built and ran: infrastructure as code, automated tests gating every merge, and alarms with runbooks for the failures you rehearsed. Instructors grade it like an audit, checking least-privilege roles, cost tags, and recovery drills. Your engineers return with a pipeline they would bet an on-call rotation on.
The curriculum is hands-on from the first module: your team builds in real AWS accounts with guided labs for every concept. You work with build projects, infrastructure templates, deployment strategies, alarms, and runbooks, and finish with a capstone pipeline reviewed by the instructor against production criteria.
What's Included in this Workshop for Your Enterprise Teams
- 1
Foundations
Learn how DevOps practices map to AWS services and shared responsibility.
- 2
Artifacts
Set up repository strategy, versioning, and pipeline-as-code principles.
- 3
CI
Build automated continuous integration with parallel tests and dashboards.
- 4
IaC
Provision multi-tier environments from modular infrastructure templates.
- 5
Operations
Deploy with canary strategies and respond to incidents with runbooks.
- 6
Capstone
Deliver a production-ready DevOps pipeline on AWS for instructor review.
- Instructor-led delivery across virtual, onsite, and hybrid formats
- 24 hours of guided instruction with hands-on labs in every module
- Course materials, infrastructure templates, and runbook examples included
- Trainers with real AWS DevOps and cloud engineering experience
- Cohort scheduling aligned to your team's availability and time zones
- Post-program support resources for applying methods to live AWS workloads
Build your team's skills. Anywhere in the world.
Real-world use cases
from day one
Instructor-led training
for your teams
Delivered globally
in 100+ countries
Enterprise Training Solutions Customized for Your Company
One partner for instructor-led corporate training, delivered the way your teams work.
Request a Training Quote- Customized Training Delivery
- Scale Your Training: Small to Large Teams
- In-person Onsite, Live Virtual or Hybrid Training Modes
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- Hands-On Labs on Live Infrastructure, Led by Industry Experts
DevOps Engineering on AWS Course Topics and Program Outline
Six modules take your team from DevOps foundations on AWS and artifact management through CI, infrastructure as code, deployments and monitoring, and a final production capstone pipeline.
Built by Edstellar with AWS DevOps engineers who run production delivery platforms on AWS
Built by AWS DevOps engineers who operate production delivery platforms on AWS, shaped around your stack and use cases.
We review your AWS delivery workflows and incident patterns to target the DevOps practices with the biggest payoff for your teams.
Your team learns AWS DevOps concepts and pipeline security through concise concept sessions with live demonstrations.
Your team builds CI pipelines and infrastructure templates in guided hands-on labs with expert coaching on real AWS services.
Your team delivers a production-ready DevOps pipeline on AWS as the capstone and presents it for instructor review.
Outcome: a production-ready DevOps pipeline on AWS your team designed, built, and hardened, ready for engineering review.
Delivered as
Delivered as 24 instructor-led hours with a guided lab in every module and a capstone pipeline that your team builds, hardens, and presents.
Configure IAM roles and policies for a pipeline service account in a guided lab.
learna)AWS shared responsibility model
b)Well-Architected Framework for operations
c)AWS DevOps services overview
d)IAM for pipeline security
Set up a repository strategy and artifact versioning scheme for a sample application.
learna)Repository strategy for delivery teams
b)Artifact repositories and versioning
c)Build specifications and environments
d)Pipeline-as-code principles
Build an automated CI pipeline with parallel test stages and build notifications.
practicea)Build projects and build specifications
b)Automated testing in CI
c)Caching and parallel builds
d)Build notifications and dashboards
Author a modular infrastructure template and deploy a multi-tier environment from code.
practicea)Templates and stacks
b)Modular and reusable templates
c)Drift detection and remediation
d)Terraform on AWS introduction
Deploy with a canary strategy, wire CloudWatch alarms, and run an incident response drill.
practice_hfa)Deployment strategies on AWS
b)CloudWatch metrics, logs, and alarms
c)Incident response runbooks
d)Cost and security guardrails in pipelines
e)Rollback drills and game days
Deliver a production-ready DevOps pipeline on AWS, then present it for instructor review.
applya)Pipeline architecture review
b)Building the full delivery flow
c)Hardening and documentation
d)Final demo and instructor review
Customize this program tailored to your team?
Tell us your training needs: what your team already works with, the level they’re at, and the topics you want them to focus on. We’ll adjust the modules, duration and hands-on labs, and send you a customized outline for your group.
Key Skills and Outcomes Your Team Will Gain
Your team leaves with the practical skills to build and operate DevOps pipelines and infrastructure on AWS with confidence.
Design AWS delivery architectures
Map DevOps practices to AWS services and apply the Well-Architected Framework to delivery workflows.
Secure pipelines with IAM
Configure roles, policies, and service accounts so pipelines run with least privilege.
Build CI on AWS
Create automated builds with parallel test stages, caching, and notifications your team can trust.
Provision infrastructure as code
Author modular templates that deploy consistent multi-tier environments and detect drift.
Deploy safely at scale
Run canary and blue-green deployments with automated rollback when health checks fail.
Monitor with CloudWatch
Build metrics, logs, and alarms that surface problems before customers notice them.
Respond to incidents
Run incident response drills with runbooks that shorten recovery time and capture lessons learned.
Teams that Benefit from this DevOps Engineering on AWS Group Training
This program is built for engineering teams delivering software on AWS. Content adapts to each cohort's workloads and experience level, so every group practices the pipeline and infrastructure workflows it actually owns.
Build AWS platforms teams love
Cloud engineers learn to design delivery architectures, standardize infrastructure as code, and operate shared AWS platforms.
Workflow friction
- ClickOps environments nobody can reproduce
- Inconsistent IaC across product teams
- Platform work that never reaches developers
How the program helps
- Standardize infrastructure templates org-wide
- Design delivery platforms teams adopt
- Cut environment setup from days to minutes
Practice use cases
- infrastructure templates
- platform design
- environment automation
Automate delivery on AWS end to end
DevOps engineers learn to build CI/CD pipelines, manage deployments, and troubleshoot delivery on AWS services.
Workflow friction
- Manual deploys that take all weekend
- Pipelines that break with every change
- No one owns the delivery tooling
How the program helps
- Build pipelines that deploy in minutes
- Automate rollbacks on failed health checks
- Debug pipeline failures systematically
Practice use cases
- CI/CD pipelines
- deployment automation
- pipeline debugging
Keep AWS workloads reliable in production
SRE engineers learn CloudWatch observability, incident runbooks, and deployment safety practices for production AWS systems.
Workflow friction
- Alert storms with no actionable signal
- Incidents that take hours to resolve
- Deployments the team dreads
How the program helps
- Detect issues before customers do
- Respond with practiced runbooks
- Define SLOs your team can meet
Practice use cases
- CloudWatch observability
- incident runbooks
- SLO design
- game days
Ship to AWS with confidence
Developers learn how their code flows from commit to AWS production, with safe deployments and fast feedback loops.
Workflow friction
- Deploys that require heroics
- No visibility after code merges
- Environment differences that break releases
How the program helps
- Understand your path to production
- Get fast feedback from CI on every commit
- Deploy without fear of breaking prod
Practice use cases
- CI feedback loops
- safe deployments
- environment parity
Each department track uses the same curriculum, with lab scenarios weighted toward the AWS workflows that group owns.
Prerequisites: Participants benefit most from basic AWS familiarity and software development experience. Deep DevOps experience is not required. Labs run in provided AWS sandboxes, and the program adapts examples to each cohort's workloads and tooling.
Engineer to DevOps Engineer on AWS
Skills progress from foundational AWS delivery concepts to advanced deployment and incident practices, each backed by hands-on labs and the capstone pipeline.
One program that grows with engineering careers, from AWS delivery fundamentals to confident DevOps engineering practice.
Mixed cohort, or several teams at once?
We can tailor the training to different teams, roles, and experience levels within the same program.
Certificate of Training Completion.
On successful completion, employees receive an Edstellar course completion certificate, recognizing their commitment to ongoing learning and professional development. It validates the skills they have built and motivates them to keep growing and contribute to organizational success.
Earned, not attended. Awarded on completion of all hands-on labs and the capstone project.
Training Delivery Modes: Virtual, Onsite and Hybrid
Choose the delivery format that fits your teams: live virtual, onsite at your office, or a hybrid of both.
Hybrid Training
A blended schedule with virtual sessions and onsite lab days. Your team gets remote flexibility plus in-person collaboration for guided labs and the capstone pipeline build.
- Flexible mix of virtual and onsite sessions
- Onsite lab days for complex builds
- Cohorts across locations in one program
- Schedule shaped around sprint calendars
Onsite Training
The full 24 hours delivered at your location. Whiteboard design sessions and face-to-face lab reviews make this the most immersive way to learn DevOps Engineering on AWS.
- Immersive full-day or multi-day format
- Whiteboard design with your architects
- Face-to-face coaching during every lab
- Private cohort focused on your systems
Live Virtual Training
Live instructor-led sessions delivered online with the same 24-hour curriculum, labs, and capstone. Your team joins from anywhere with a browser and a cloud sandbox.
- Same curriculum and labs as onsite
- Live instructor Q&A in every session
- Cloud-based lab environments provided
- Session recordings for review
Need a training format that works for your team?
Full days, half days across weeks, or split by module. Tell us the delivery window and we schedule the cohort around it.
Frequently Asked Questions
Share your team size, preferred dates, and delivery format, and we will send a tailored quote for DevOps Engineering on AWS within one business day.
Yes. A training advisor will walk you through the curriculum, lab setup, and scheduling options on a short discovery call.
Yes. Every module runs live online with an instructor, including all guided labs, with the same content as onsite delivery.
Yes. Onsite delivery is available for private cohorts, and hybrid schedules combine virtual sessions with onsite lab days.
The program runs 24 instructor-led hours, typically delivered over three to four days depending on your schedule.
Question not answered here?
Put it in the request. A training specialist answers it directly, within one business day.
Where this Training Fits in Your Team's learning path.
DevOps on AWS follows AWS developer skills so your team knows the services before automating delivery on them. Terraform then codifies the infrastructure, and ECS and EKS run the containerised workloads your pipelines ship.
Why Choose Edstellar as Your DevOps Engineering on AWS Corporate Training Provider
Edstellar is a focused partner for teams delivering on AWS. With 5,000+ certified trainers and 2,000+ courses, we deliver hands-on DevOps training shaped around your cloud.
EXPERT TRAINERS
YEARS DELIVERING
ORGANIZATIONS TRAINED
CERTIFIED
Tailored
Labs and the capstone are shaped around your AWS workloads and delivery process, so every exercise maps to your real systems.
Proven Methodology
A Diagnose, Standardize, Practice, Measure, and Scale arc takes your team from AWS concepts to production-ready delivery.
Practice-Based Learning
Every module includes a guided hands-on lab in real AWS accounts, ending with a full production-style capstone pipeline.
Expert Trainers
Learn from AWS DevOps engineers who have built and operated production delivery platforms on AWS.
Global Scale
The same program runs for distributed cohorts across time zones, with scheduling that fits your teams and release calendars.
Measurable Outcomes
Track deployment frequency, recovery time, and cost efficiency against clear metrics set at the start of the program.
Build AWS Delivery Pipelines With Reproducible Infrastructure and Tested Response
Edstellar connects AWS pipeline design with IAM, infrastructure templates, deployment controls, and CloudWatch monitoring. Engineers work through a sample application's delivery lifecycle in sandboxes, practicing both successful releases and incident response. The final pipeline review examines permissions, test evidence, infrastructure consistency, and whether alarms and runbooks support the recovery demonstrated.
- Step 01
Consult
We assess AWS and development familiarity alongside delivery pain points, focusing on IAM permissions, manual infrastructure changes, slow build feedback, and ineffective alarms.
- Step 02
Plan
We establish pipeline roles and artifact versioning before CI automation and modular infrastructure templates, then add canary deployments, CloudWatch monitoring, and response drills.
- Step 03
Align
We match AWS delivery expertise to cloud engineers, developers, and reliability teams, confirming sandbox boundaries and the baseline support needed for AWS concepts.
- Step 04
Customize
We tailor a sample application's repository, infrastructure modules, and failure scenarios to representative workloads without requiring changes to live AWS environments.
- Step 05
Execute
Engineers configure least-privilege pipeline roles, automate parallel tests, deploy templates, and rehearse alarm-driven recovery with feedback on permissions, drift, and runbook clarity.
- Step 06
Evaluate
We assess the AWS pipeline through deployment and incident demonstrations, checking infrastructure reproducibility, test gates, useful CloudWatch alarms, and justified recovery actions.
Also from Edstellar
Talent assessments
Psychometric, behavioral, leadership and 360-degree assessment.
→Training needs analysis
Needs analysis, gap identification, and a training roadmap.
→L&D consulting
Learning strategy, content, technology and ROI measurement.
→OD consulting
Org design, succession planning and cultural change.
→Managed training services
Training outsourcing, vendor management, logistics and administration.
→Coaching solutions
Executive and manager coaching that keeps skills in use.
Start an RFP shaped to your needs.
Answer three quick questions about team size, scope, and how often you need the program run, then send the request from the last step. Everything you choose travels with it, so you only fill this in once.
How many team members need training?
DevOps Engineering on AWS Training Packages & Pricing
Where L&D holds an annual budget, license packages price the whole year at once instead of raising a purchase order per workshop. Hours and licenses are pooled across teams, programs and locations, so unused capacity is not stranded in one department.
Starter
120
trainee licenses64 hours of group training
Tailored for SMBs
Growth
320
trainee licenses160 hours of group training
Ideal for growing SMBs
Enterprise
800
trainee licenses400 hours of group training
Designed for large corporations
Custom
Unlimited
trainee licensesDuration set by the rollout
Multi-region and multi-year
Training Packages & Pricing
Choose the training format that works for your team. Pricing is customized based on your requirements, cohort size, and delivery needs.
Request DevOps Engineering on AWS Training for Your Team
Tell us about your team and your AWS delivery goals, and a training advisor will design the right cohort for you.