Containers on AWS (ECS and EKS) Corporate Training
Containers on AWS (ECS & EKS) Corporate Training
A 24-hour instructor-led program that teaches DevOps and platform teams to containerize applications and run them on Amazon ECS and EKS with safe, automated releases.
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 high-performing container platform team
The Edstellar CONTAINER PLATFORM Capability Model
Diagnose
Assess your team's container fluency, release pain points, and AWS readiness before training begins.
Standardize
Establish shared practices for images, registries, and deployments across your engineering teams.
Practice
Run guided hands-on labs that deploy real services to ECS and EKS with CI/CD pipelines.
Measure
Track release frequency, deployment failures, and scaling behavior tied to your platform goals.
Scale
Extend proven container patterns across services with governance that keeps releases safe.
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Program Overview: What is Containers on AWS (ECS and EKS)?
Containers on AWS (ECS & EKS) is Edstellar's instructor-led technical program for DevOps and platform engineers running containerized workloads on AWS. Participants master container foundations with AWS networking, image management with Amazon ECR, Amazon ECS services and load balancing, Amazon EKS Kubernetes orchestration, and CI/CD pipelines for container releases. The emphasis is production-ready practice: release safety, observability, and scaling.
Training is lab-driven from the first module. Engineers build Docker images, push them to ECR, deploy services on ECS, and stand up Kubernetes clusters on EKS in guided labs with instructor review. Pipeline exercises wire releases through CI/CD with rollback and observability in place. The program closes with a capstone where the team delivers a production-ready multi-service deployment on AWS.
Teams that containerize without orchestration discipline end up with fragile deployments, unpatched images, and three a.m. pages. Manual releases and guesswork scaling waste cloud spend and erode confidence. This program teaches your engineers to run ECS and EKS the way production demands: managed images, service discovery, load balancing, safe releases, and scaling that responds to real traffic.
The capstone is a deployment your team can point at: a production-ready multi-service application running across ECS and EKS, containerized, registered in ECR, wired through CI/CD with observability and scaling in place, built by your engineers and reviewed by instructors. No slides, no sandbox toy; it is the reference architecture your next project copies. Releases get calmer, and your clusters stop being the thing everyone tiptoes around.
Over six modules, teams progress from Docker and AWS networking fundamentals to a full capstone deployment. The program emphasizes production-ready practices: image management, service orchestration, release safety, observability, and scaling.
What's Included in this Workshop for Your Enterprise Teams
- 1
Guided hands-on labs
Deploy services to ECS and EKS and build release pipelines in instructor-led labs.
- 2
Capstone project
Ship a multi-service deployment with observability and scaling, then defend it.
- 3
Production-focused practice
Every lab ties configuration choices to release safety and operational readiness.
- 24 hours of instructor-led sessions, onsite or live virtual
- Hybrid delivery aligned to your engineering sprints
- Pre-program skills assessment for each cohort
- Post-program release runbook and metrics template
- Course materials and lab guides for every participant
- Scheduling aligned to your release calendar
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.
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Containers on AWS (ECS and EKS) Course Topics and Program Outline
A 24-hour applied program: Docker and AWS networking foundations, ECR image management, ECS and EKS deployment, CI/CD pipelines, and a capstone multi-service release.
Built by Edstellar with DevOps and platform practitioners
Built by practitioners who run container platforms on AWS in production, shaped around your stack and use cases.
We benchmark your team's container and AWS fluency so labs target the release workflows that slow you down most.
Your team learns Docker fundamentals, ECR image management, and AWS networking through guided, hands-on instruction.
Engineers deploy to ECS and EKS, tune autoscaling, and build CI/CD pipelines in guided labs against real scenarios.
Your team ships a production-ready multi-service deployment with observability, scaling, and a release runbook.
24 hours of instructor-led, lab-driven container training ending in a production-ready multi-service deployment your team can run.
Delivered as
Delivered hybrid, onsite, or live virtual across 3 full days or six half-day sessions, matched to your engineering calendar.
Guided lab: build and run a Docker image, then map its traffic through a VPC subnet design.
learna)Docker images, containers, and registries explained
b)VPC design: subnets, route tables, and security groups
c)IAM roles and policies for container workloads
d)Container storage and networking concepts on AWS
Guided lab: push images to ECR, configure scanning and lifecycle rules, and run a promotion workflow.
learna)Creating and organizing private ECR repositories
b)Image scanning, lifecycle policies, and replication
c)Tagging strategies and image promotion workflows
d)Reducing image size and hardening base images
Guided lab: launch an ECS service on Fargate behind an ALB with health-checked rolling updates.
practicea)ECS clusters, Fargate vs EC2 launch types
b)Task definitions: containers, resources, and logging
c)ECS services, desired counts, and deployment configs
d)Application Load Balancer integration and service discovery
Guided lab: provision an EKS cluster, deploy a sample app, and tune autoscaling under load.
practicea)EKS cluster setup and managed node groups
b)VPC CNI networking, IAM roles for service accounts
c)Deployments, services, and ingress on EKS
d)Cluster autoscaling and pod autoscaling with metrics
Guided lab: wire a pipeline that builds, tests, and blue-green deploys a containerized service.
practicea)Pipeline design: source, build, test, and deploy stages
b)Building images with CodeBuild and GitHub Actions
c)Blue-green and rolling deployments on ECS and EKS
d)Image promotion and release approval gates
Capstone lab: deploy a multi-service app to ECS and EKS with dashboards, alerts, and scaling, then defend it in an instructor review.
applya)Architecture review and environment planning
b)Containerize and deploy a multi-service application
c)Observability: logs, metrics, and alerts with CloudWatch
d)Scaling policies, cost review, and capstone defense
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
Every outcome is practiced in guided labs and reinforced in the capstone, so your team leaves ready to run containers on AWS.
Build production Docker images
Create lean, secure images with layered builds and hardened base images.
Manage registries with Amazon ECR
Store, scan, and promote images across environments with lifecycle control.
Deploy services on Amazon ECS
Run services on Fargate and EC2 with task definitions and load balancing.
Operate Kubernetes with Amazon EKS
Provision clusters, manage node groups, and tune autoscaling on EKS.
Automate releases with CI/CD pipelines
Build pipelines that test and deploy containers with blue-green releases.
Observe and scale container workloads
Use CloudWatch metrics, logs, and alerts to keep services healthy.
Harden container security
Apply IAM, image scanning, and network controls to container platforms.
Teams that Benefit from this Containers on AWS (ECS and EKS) Group Training
Built for DevOps, platform, and application teams that own containerized workloads on AWS. Content adapts to role and experience, so each cohort practices the workflows it owns.
Run a consistent container platform on AWS
Give platform teams the patterns to standardize images, clusters, and releases across the organization.
Workflow friction
- Inconsistent deployment practices
- Manual release steps that cause outages
- Clusters that drift from standards
How the program helps
- Standardized image and registry practices
- Repeatable cluster and network patterns
- Fewer release-time configuration errors
Practice use cases
- cluster blueprints
- image standards
- release governance
Automate and stabilize container releases
DevOps engineers learn to build pipelines, automate deploys, and keep container workloads reliable under change.
Workflow friction
- Brittle manual deploy processes
- Scaling surprises during traffic spikes
- Slow rollback when releases fail
How the program helps
- Faster, safer container releases
- Reliable autoscaling under load
- Clear release rollback paths
Practice use cases
- pipeline automation
- deploy strategies
- scaling policies
Design container platforms that scale
Architects learn ECS and EKS design trade-offs so platforms are secure, observable, and cost-aware from day one.
Workflow friction
- Choosing between ECS and EKS
- Over-permissioned workload IAM roles
- Runaway costs from idle capacity
How the program helps
- Sound ECS and EKS architecture choices
- Security and IAM built into designs
- Cost-aware scaling strategies
Practice use cases
- platform design
- network topology
- cost reviews
Cohorts are grouped by role and AWS experience so labs match the workloads each team owns.
Prerequisites: This program suits DevOps engineers, platform engineers, SREs, and developers who deploy containerized applications. Basic familiarity with AWS and the command line helps but is not required. Instructors adapt labs to your team's current container maturity and release workflows.
Engineer to Container Platform Specialist
Start with Docker and AWS networking basics, advance through ECS and EKS operations, and finish able to ship secure, observable multi-service deployments.
A program that grows with DevOps careers, from first container builds to confident platform operations.
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
Instructor-led delivery shaped to your engineering calendar: live virtual for distributed teams, onsite for platform walkthroughs, or hybrid for both.
Hybrid Training
A flexible mix of onsite platform sessions and live virtual labs, so engineering teams learn without pausing releases.
- Onsite architecture sessions plus remote labs
- Sprint-friendly scheduling across time zones
- Live instructor guidance in every session
- Same curriculum and labs in all formats
Onsite Training
Delivered at your facility with instructors reviewing your platform setup and tailoring labs to your AWS environment.
- Tailored to your AWS accounts and clusters
- Direct platform review by instructors
- Team-wide alignment in one room
- Hands-on labs with your scenarios
Live Virtual Training
Fully interactive live virtual sessions with guided labs in shared AWS environments and small-group breakout work.
- Live instructor-led sessions, not recordings
- Guided labs in shared AWS test environments
- Breakout rooms for team-based work
- Scheduling across time zones
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, AWS footprint, and delivery preference and we will return a tailored quote within one business day.
Yes. A discovery call with a training advisor helps us map your container goals to the curriculum before you book.
Yes. Live virtual sessions run with guided labs in shared AWS environments and breakout rooms for team work.
Yes. Onsite delivery is available at your facility, with instructors tailoring labs to your AWS environment.
The program runs 24 hours of instructor-led time, typically across 3 full days or six half-day sessions.
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.
Running containers on AWS starts with building good containers. Your team learns Docker and Podman first, then this course runs those images on ECS and EKS. Automating delivery with AWS DevOps practice comes next, and Kubernetes security closes the path by hardening the clusters you operate.
Why Choose Edstellar as Your Containers on AWS (ECS and EKS) Training Provider
Edstellar delivers instructor-led container training built around your AWS environment, your workloads, and releases you can measure.
EXPERT TRAINERS
YEARS DELIVERING
ORGANIZATIONS TRAINED
CERTIFIED
Tailored
Modules, labs, and the capstone are tailored to your AWS accounts, cluster choices, and release workflows.
Proven Methodology
Training follows a proven assess, learn, practice, apply arc that turns lab skills into production releases.
Practice-Based Learning
Six guided labs and a capstone have teams deploying real services to ECS and EKS with working pipelines.
Expert Trainers
Sessions are led by DevOps practitioners who run container platforms on AWS in live production.
Global Scale
Consistent container training delivered across regions, time zones, and multi-account AWS environments.
Measurable Outcomes
Release frequency, deploy success, and scaling metrics show exactly what the training changed for your teams.
Build AWS Container Delivery With Tested Releases, Scaling, and Visibility
Edstellar connects container and AWS networking foundations with ECR image workflows, ECS services, and EKS orchestration. Participants build releases and test workload behavior before integrating a multi-service application. The final review examines deployment evidence, health checks, scaling choices, and operational visibility across the two container platforms.
- Step 01
Consult
We assess AWS and command-line familiarity to identify gaps in image lifecycle management, service deployment, orchestration, release validation, and workload scaling.
- Step 02
Plan
We establish containers and VPC traffic before ECR, ECS, and EKS practice, then build CI/CD releases and integrate the multi-service deployment.
- Step 03
Align
We align AWS container instruction with DevOps, platform, SRE, and developer roles, confirming suitable lab resources and support for different container-maturity levels.
- Step 04
Customize
We tailor sample services, image-promotion paths, and load scenarios to familiar release workflows while keeping deployments isolated and resource assumptions explicit.
- Step 05
Execute
Participants publish scanned images, deploy ECS and EKS workloads, and test release pipelines, receiving feedback on health signals, scaling behavior, and recovery choices.
- Step 06
Evaluate
We assess the application deployment for coherent image promotion, working platform configurations, demonstrated release behavior, and useful dashboards and alerts supporting operations.
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?
Containers on AWS (ECS & EKS) Training 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 Containers on AWS (ECS and EKS) Training for Your Team
Tell us about your team, AWS environment, and timelines and we will design a container training program around your release goals.