Cloud-Native Engineering with Containers and Kubernetes Corporate Training
Turn container chaos into your team's Kubernetes advantage with practical, instructor-led training.
Give your enterprise teams the cloud-native skills that turn containers into reliable production systems. Edstellar's Cloud-Native Engineering with Containers & Kubernetes corporate training equips your engineers with hands-on practice in building images, deploying on Kubernetes, and optimizing cost and reliability. Delivered as hybrid training with guided labs and a full capstone, each session is tailored to your stack, roles, and goals.
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-ready team
The Edstellar CLOUD-NATIVE CAPABILITY MODEL
Map cluster readiness
Skill checks map your team's container and Kubernetes experience before the program begins.
Set cloud-native norms
Shared patterns for images, deployments, and cluster policies that every team follows.
Practice in guided labs
Build, deploy, and troubleshoot in instructor-led Kubernetes labs, from probes to failover drills.
Measure cluster maturity
Lab assessments and Skills Matrix reporting re-benchmark skills and show capability rising.
Scale across cohorts
Roll the program out across batches, teams, and locations with one consistent cloud-native standard.
Need more than one program?Get a group quote
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Program Overview: What is Cloud-Native Engineering with Containers and Kubernetes?
Cloud-Native Engineering with Containers & Kubernetes is an instructor-led program for developers, DevOps, and platform engineers who ship software in containers. Over 24 hours and six modules, participants move from container and image foundations through Kubernetes core concepts, workload deployment, networking and storage, observability, and cost optimization. They finish in a capstone cloud-native architecture lab that pulls every layer together.
Training is hands-on from the first module: participants containerize applications, stand up clusters, and deploy real workloads rather than studying diagrams. Guided labs cover scaling, networking, persistent storage, and observability, with the instructor debugging alongside teams and calling out the production gotchas that tutorials skip. Cost optimization is treated as an engineering skill, not an afterthought. The capstone architecture lab asks each team to design and run a complete cloud-native system, reviewed by the instructor.
Many teams stall in the gap between local Docker success and production Kubernetes: deployments that work on a laptop break under real traffic, scaling surprises appear, and costs drift. This program closes that gap by teaching the deployment, scaling, security, and cost patterns that keep cloud-native systems healthy. Participants learn the operational judgment that separates a demo cluster from a system you can page on.
The capstone is a full cloud-native architecture lab: a working system with containerized services, Kubernetes networking and storage, observability wired in, and cost controls in place, built by the team and stress-reviewed by the instructor. It is the artifact that proves the skills, because it exposes every weak assumption under review. Graduates return able to run Kubernetes workloads in production with confidence and to explain the architectural choices to teammates who were not in the room.
Teams adopting containers often stall at the gap between local Docker success and production Kubernetes. This program closes that gap: participants practice the deployment, scaling, security, and cost patterns that keep cloud-native systems healthy, building the skills they need for day-to-day work.
What's Included in this Workshop for Your Enterprise Teams
- 1
Container and image fundamentals
Build slim, secure Docker images that run anywhere
- 2
Kubernetes deployments and scaling
Ship with rolling updates, probes, autoscaling
- 3
Networking, storage, and security
Wire services, persist data, lock down clusters
- 4
Observability and cost labs
Monitor with metrics and logs, then cut cloud spend
- 5
Capstone and assessment
Deploy a full architecture and show the full skill set
- Instructor-led (virtual/onsite/hybrid)
- Training delivered at any of your offices globally
- 10+ languages
- Schedule around your calendar
- Group size set along with you
- Run as one cohort or split into batches
- Recurring and annual options
- Trainer sourcing, matching and logistics
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
Cloud-Native Engineering with Containers and Kubernetes Course Topics and Program Outline
Six modules move from container and Kubernetes foundations to guided labs and a capstone build. Every module pairs live instruction with hands-on exercises in Kubernetes clusters, including troubleshooting.
Built by Edstellar with cloud-native experts
Built by engineers who design and run production Kubernetes platforms, shaped around your stack and use cases.
A short pre-training check maps each participant's container and Kubernetes experience, setting the right entry level.
Instructor-led sessions build container and Kubernetes foundations, from images to core cluster objects and services.
Guided labs cover deployments, networking, security, and observability on real Kubernetes clusters with instructor help.
A 5.5-hour capstone: each team deploys a full microservices stack with monitoring, cost controls, and a runbook.
From container foundations to a full Kubernetes capstone, every pattern is practiced in guided labs.
Delivered as
Delivered as a hybrid program of live instruction and guided labs, scheduled around your team's calendar in flexible batches.
Configure a container workstation, then build, tag, and scan a lean multi-stage image in a guided walkthrough.
learna)Container architecture and how it compares to virtual machines
b)Dockerfiles and multi-stage builds for lean images
c)Image layers, tags, and working with registries
d)Image scanning and container security basics
Deploy a sample application with deployments and services, and expose it through ingress in a guided lab.
learna)Control plane, nodes, and working with kubectl
b)Pods, deployments, and replica sets
c)Services, ingress, and service discovery
d)Namespaces, config maps, and secrets
Roll out an application update, simulate a failure, roll back, then scale with autoscaling policies.
practicea)Rolling updates and safe rollbacks
b)Readiness and liveness probes
c)Horizontal pod autoscaling
d)Debugging deployments and pod logs
Harden a cluster lab: lock down traffic with network policies, attach storage, and apply RBAC roles.
practicea)Pod networking and CNI basics
b)Network policies for traffic control
c)Persistent volumes and storage classes
d)RBAC and pod security standards
Instrument a workload, build alert rules, then audit and cut wasted spend with quotas and tagging.
practicea)Metrics, logs, and alerting on golden signals
b)Distributed tracing for microservices
c)Rightsizing requests and limits
d)Cost tagging, quotas, and waste reduction
Build and deploy the full application end to end, then present the architecture, cost model, and runbook.
applya)Capstone architecture design review
b)Full microservices deployment
c)Security and reliability hardening
d)Cost review and runbook handover
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
Participants leave able to containerize applications, deploy them on Kubernetes, and keep them reliable and cost-effective in production environments.
Containerize apps reliably
Build slim, secure Docker images with multi-stage Dockerfiles and run them consistently across environments.
Operate Kubernetes clusters
Deploy and manage workloads with kubectl, deployments, services, and namespaces across cluster nodes.
Scale and self-heal workloads
Configure health probes and autoscaling so deployments roll out safely and recover from failures on their own.
Secure Kubernetes access
Apply RBAC, pod security standards, and network policies to limit blast radius and protect cluster traffic.
Monitor with metrics and logs
Instrument services with metrics, logs, and tracing to spot issues early and speed up troubleshooting.
Control cloud-native costs
Rightsize requests and limits, apply quotas and tagging, and cut wasted spend across namespaces.
Ship a production release
Deploy a complete microservices stack on Kubernetes with ingress, storage, monitoring, and a runbook.
Teams that Benefit from this Cloud-Native Engineering with Containers and Kubernetes Group Training
Built for platform, DevOps, and backend teams running workloads on Kubernetes. This program turns container and Kubernetes concepts into daily practice, adapting content to each role and experience level so every cohort practices the workflows it owns.
One standard way to ship containers
Platform teams build shared Kubernetes platforms and templates so product teams deploy safely. After this program, they run consistent, automated, and cost-aware clusters.
Workflow friction
- Inconsistent cluster setups across teams
- Manual provisioning that slows releases
- Runaway cloud spend on idle resources
How the program helps
- Standardize cluster configurations and policies
- Automate provisioning with repeatable templates
- Set quotas and budgets that cut wasted spend
Practice use cases
- Cluster provisioning
- Autoscaling setup
- Cost tagging labs
- RBAC policies
Faster, safer deployments on Kubernetes
DevOps and SRE teams own release pipelines and uptime. The program gives them rolling updates, observability, and troubleshooting skills that keep production calm.
Workflow friction
- Failed deploys that roll back by hand
- Blind spots when pods crash overnight
- Alert fatigue from noisy monitoring
How the program helps
- Roll out with rolling updates and probes
- Trace failures fast with logs and metrics
- Tune alerts to the golden signals
Practice use cases
- Rolling update labs
- Probe configuration
- Incident debugging
- Alert tuning
Ship services that run anywhere
Backend developers containerize APIs and services. They learn to build lean images, connect services on Kubernetes, and debug their own deployments without waiting on ops.
Workflow friction
- Images that work locally but fail in clusters
- Hard-to-reproduce service connection bugs
- Waiting on ops for every deployment
How the program helps
- Write Dockerfiles that build cleanly
- Wire services with Kubernetes networking
- Deploy and debug independently
Practice use cases
- Dockerfile practice
- Service wiring labs
- Self-service deploys
Run data workloads on Kubernetes
Data and ML teams run pipelines and training jobs on shared clusters. The program covers batch jobs, persistent storage, and cost control for compute-heavy workloads.
Workflow friction
- Training jobs that hog cluster resources
- Data loss when pods restart
- Untracked spend on GPU and compute
How the program helps
- Schedule batch jobs with Kubernetes Jobs
- Attach persistent volumes that survive restarts
- Budget and monitor heavy workloads
Practice use cases
- Kubernetes Jobs labs
- Volume provisioning
- Cost monitoring
Each cohort works through role-relevant labs, then leaves with reusable patterns for day-to-day work.
Prerequisites: This program is built for engineers who already work with applications or infrastructure: backend developers, DevOps engineers, and platform teams. Familiarity with the command line and basic cloud concepts helps, but no prior Kubernetes experience is needed. Content adapts to each cohort's stack and tooling, so every team practices the workflows it actually owns.
DevOps Engineer to Kubernetes Platform Engineer
Tracks how engineers progress from foundational container skills to very advanced cloud-native architecture across the program's learn, practice, and apply phases.
A program that grows with platform careers, from first container image to confident Kubernetes production delivery.
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
This program runs as hybrid training: live instructor-led sessions with supervised hands-on labs, available in the format that fits your team.
Hybrid Training
Instructor-led sessions combine concept delivery, live demonstrations, and supervised hands-on labs in Kubernetes clusters. Teams practice in hybrid cohorts with guidance from a practitioner trainer.
- Live instruction with guided cluster labs
- Real Kubernetes troubleshooting exercises
- Agenda shaped to your stack and roles
- Practice sessions across 6 modules
Onsite Training
The trainer delivers at your office with hands-on labs in your cloud or sandbox environments. Working side by side accelerates troubleshooting and team alignment.
- Labs on your own environments
- Direct troubleshooting support
- Schedule around your calendar
- One cohort or split into batches
Live Virtual Training
Live virtual sessions run instructor-led with shared cluster labs, screen-shared demos, and real-time help. Breakouts and guided exercises keep remote teams fully hands-on.
- Instructor-led on your platform
- Shared cloud labs for every learner
- Real-time troubleshooting support
- Breakout labs with live guidance
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 team size, preferred dates, and delivery mode in the lead form. We reply with a tailored proposal covering scope, schedule, and pricing.
Yes. Book a short discovery call and we map your training needs, Kubernetes experience, and timelines before sharing a plan.
Yes. Live virtual sessions run instructor-led on your preferred platform, with shared cluster labs, guided exercises, and real-time troubleshooting help.
Yes. We deliver onsite at your offices, with labs adapted to your cloud environments and team workflows.
The program runs 24 hours of instructor-led training, usually across three full days. Duration and schedule can be adjusted to fit your team's calendar.
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.
Kubernetes makes sense once your team can build and run containers well. This course takes those container skills and puts them onto Kubernetes for deployment, scaling and operations. Securing clusters comes next, and platform engineering finally turns that work into self-service tooling for your developers.
Why Choose Edstellar as Your Cloud-Native Engineering with Containers and Kubernetes Corporate Training Provider
Edstellar delivers cloud-native training as instructor-led, hands-on programs built around your team's stack, with labs, assessments, and reporting that prove the lift.
EXPERT TRAINERS
YEARS DELIVERING
ORGANIZATIONS TRAINED
CERTIFIED
Tailored
Content shaped to your stack, workloads, and roles before delivery, so labs match the clusters your team actually runs.
Proven Methodology
5+ years of instructor-led corporate training helps teams turn container and Kubernetes concepts into daily habits.
Practice-Based Learning
The team practices, not just listens: 5 hands-on labs across 6 modules build real Kubernetes skills, ending in a capstone.
Expert Trainers
Matched from 5,000+ certified trainers; your trainer's full profile is shared and confirmed before the program is booked.
Global Scale
One program delivered worldwide for your teams, in the hybrid format that fits their calendars and locations.
Measurable Outcomes
Baseline-to-capstone measurement and Skills Matrix reporting track container and Kubernetes capability as it grows.
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?
Cloud-Native Engineering with Containers & Kubernetes 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 Cloud-Native Engineering with Containers and Kubernetes Training for Your Team
Share your team size, Kubernetes experience, and timelines to receive a tailored training plan and quote. Book a discovery call to discuss your goals; we confirm availability and respond with a proposal.