Multi-Cloud DevOps (AWS and Azure) Corporate Training
One pipeline discipline across two clouds, practiced on real infrastructure.
Your engineers learn to run DevOps across AWS and Azure as one practice: infrastructure as code, CI/CD pipelines, container platforms, and the observability your team needs to ship safely.
Instructor-led group trainingVirtual / on-site / hybrid10 languagesDelivered in English, Spanish, Mandarin, German, Arabic, Portuguese, Hindi, French, Japanese, Italian100+ countriesWe have delivered in United 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 multi-cloud delivery team
The Edstellar MULTI-CLOUD DEVOPS Capability Model
Diagnose
We map your current AWS and Azure footprints, pipeline maturity, and release pain points to set a precise learning baseline.
Standardize
We align on infrastructure-as-code conventions, pipeline templates, and branching norms that work across both clouds.
Practice
Guided labs provision real cloud resources, build pipelines, and deploy to clusters on AWS and Azure with instructor review.
Measure
We review Terraform plans, pipeline runs, and deployment metrics to confirm your team ships reliably on both platforms.
Scale
Your team leaves with pipeline templates, runbooks, and guardrails for extending multi-cloud delivery after training.
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Program Overview: What is Multi-Cloud DevOps (AWS and Azure)?
Multi-Cloud DevOps (AWS & Azure) is Edstellar's instructor-led technical program for DevOps engineers, platform teams, and release managers who must ship software consistently across AWS and Azure. It covers shared DevOps foundations on both clouds, infrastructure as code with Terraform, CI/CD pipeline engineering, containers and managed Kubernetes, plus observability, security, and FinOps for multi-cloud estates.
Training is hands-on from the first module. Participants provision AWS and Azure environments with the same Terraform modules, then design build-and-test pipelines with safe deployment stages and environment promotions. Kubernetes sessions run workloads on EKS and AKS side by side, and observability labs centralize logging and metrics across both providers while instructors review each pipeline for security and cost hygiene. Everything builds toward a capstone where teams ship an end-to-end multi-cloud release pipeline.
Teams running two clouds usually drift into two ways of working: different tooling, inconsistent pipelines, and releases that behave differently on AWS and Azure. That doubles maintenance and slows releases. This program teaches them to standardize on one way of building, testing, and deploying, so a release is a release regardless of which provider runs it.
The capstone asks each team to ship end to end: Terraform environments, a CI/CD pipeline spanning AWS and Azure, and a containerized service running behind centralized observability. Instructors score the pipeline on safety, repeatability, and rollback behavior, not just on whether it deploys once. Teams return with a working reference pipeline and a concrete backlog of what to harden before it touches production traffic.
The program moves from multi-cloud foundations through Terraform and CI/CD into container platforms, then observability, security, and FinOps. Each module pairs concise concept delivery with a guided lab where your team provisions and deploys on real cloud resources, reviews results with the instructor, and connects every pattern back to your own release process.
What's Included in this Workshop for Your Enterprise Teams
- 1
Multi-cloud foundations
AWS and Azure service maps and identity models.
- 2
Infrastructure as code
Terraform modules, state, and multi-cloud configs.
- 3
Pipeline engineering
CI/CD design, promotion, and rollback patterns.
- 4
Container platforms
Kubernetes workloads on EKS and AKS.
- 5
Capstone release pipeline
End-to-end delivery reviewed by the instructor.
- Instructor-led delivery, virtual, onsite, or hybrid for your team
- Guided hands-on labs in every module with instructor support
- Terraform modules, pipeline templates, and runbooks for your stack
- Cohort scheduling aligned to your delivery windows and time zones
- Skill baseline review and a post-program capability summary
- Post-program support window for questions on your first rollouts
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
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Multi-Cloud DevOps (AWS and Azure) Course Topics and Program Outline
Six modules take your team from multi-cloud foundations to a working release pipeline across AWS and Azure, with guided labs in every step.
Built by Edstellar with DevOps and cloud platform engineers
Built by engineers who run production delivery on AWS and Azure, shaped around your stack and use cases.
A short review maps your cloud footprints, pipeline maturity, and release pain points to calibrate the labs.
One module builds a shared multi-cloud map through demos, guided exercises, and instructor Q&A.
Four modules turn concepts into working infrastructure: Terraform, pipelines, clusters, and controls in guided labs.
The capstone has your team ship a full release pipeline across both clouds with review and an operations runbook.
Your team practices on your own cloud accounts and release scenarios, not toy examples.
Delivered as
This is an instructor-led program for team cohorts, delivered virtual, onsite, or hybrid around your delivery windows.
Set up CLI access and explore equivalent services across AWS and Azure accounts.
learnDevOps culture, flow, and feedback practices
AWS and Azure core services side by side
Identity and access models across clouds
Networking basics: VPCs and VNets
Lab environment and CLI setup
Write Terraform modules that provision parallel environments on AWS and Azure.
practiceHCL syntax and reusable module design
Remote state, locking, and backends
Multi-cloud provider configurations
Plan, apply, and review workflows
Drift detection and remediation
Build a multi-stage pipeline with promotion gates from staging to production.
practicePipeline design patterns and stages
Build, test, and artifact management
Environment promotion strategies
Secrets handling and pipeline security
Rollback and failure recovery
Deploy a containerized app to clusters on both clouds with ingress and config management.
practiceContainer images for pipeline delivery
EKS and AKS cluster fundamentals
Deployments, services, and ingress
ConfigMaps, secrets, and storage
Upgrades and node operations
Add dashboards, alerts, and cost reports to the lab environments with policy guardrails.
applyCentralized logging and metrics collection
Alerting and SLOs across clouds
Security posture and policy guardrails
Cost visibility and optimization practices
Compliance evidence from pipeline data
Deliver a working multi-cloud release pipeline with gates and a runbook reviewed by the instructor.
applyArchitecture and pipeline blueprint review
Terraform-provisioned environments
Full CI/CD delivery on both clouds
Observability and security gate integration
Instructor review and operations runbook
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 able to design, build, and operate delivery pipelines that work consistently across AWS and Azure.
Multi-cloud fluency
A working map of AWS and Azure services, identity, and networking for delivery decisions.
Terraform infrastructure as code
Reusable modules, remote state, and safe workflows provisioning both clouds.
CI/CD pipeline design
Multi-stage pipelines with promotion gates, security, and rollback handling.
Kubernetes delivery
Containerized deployments on EKS and AKS with ingress, config, and storage patterns.
Observability across clouds
Centralized logs, metrics, alerts, and SLOs covering both platforms.
Security and compliance guardrails
Policy-based controls and pipeline evidence for audit-ready delivery.
Cost control practices
Visibility and optimization routines that keep multi-cloud spend predictable.
Teams that Benefit from this Multi-Cloud DevOps (AWS and Azure) Group Training
This program is built for engineering teams standardizing delivery across AWS and Azure. Content adapts to each cohort's roles, accounts, and tooling, so every team practices the workflows it owns.
Unify delivery across both clouds
Give DevOps engineers one pipeline discipline, one IaC practice, and one set of guardrails for AWS and Azure.
Workflow friction
- Divergent tooling per cloud
- Manual provisioning and drift
- Release incidents from weak gates
How the program helps
- Consistent pipelines on both clouds
- Reusable Terraform module library
- Safer releases with gate controls
Practice use cases
- CI/CD pipelines
- Terraform modules
- Release automation
Build internal platforms on two clouds
Platform teams learn the patterns for golden paths, templates, and self-service delivery across clouds.
Workflow friction
- Ad hoc team provisioning
- No paved road for releases
- Inconsistent platform standards
How the program helps
- Golden path pipeline templates
- Self-service environment provisioning
- Standard observability baselines
Practice use cases
- Platform templates
- Golden paths
- Self-service portals
Operate multi-cloud estates reliably
SREs learn the observability, alerting, and incident patterns that span AWS and Azure estates.
Workflow friction
- Blind spots between clouds
- Alert noise and fatigue
- Slow multi-cloud incident response
How the program helps
- Unified alerting and SLOs
- Runbooks for multi-cloud incidents
- Blameless review inputs from pipelines
Practice use cases
- SLO design
- Incident runbooks
- Alert tuning
Design governed multi-cloud systems
Architects learn to design delivery and landing-zone patterns with security and cost controls built in.
Workflow friction
- Un governed cloud sprawl
- Security bolted on late
- Surprise multi-cloud spend
How the program helps
- Reference architectures for delivery
- Policy guardrails by design
- Cost-aware design guidance
Practice use cases
- Landing zones
- Policy design
- Cost modeling
Each department track follows the same six modules, with lab scenarios tuned to the team's own cloud accounts.
Prerequisites: This program suits engineers with basic cloud or Linux familiarity and some scripting experience. No prior Terraform or Kubernetes experience is required. Labs adapt to your team's accounts, regions, and tooling.
DevOps Engineer to Multi-Cloud Delivery Engineer
Engineers enter at any level and progress toward independently running governed delivery across both clouds.
One program that grows with DevOps careers, from cloud basics to confident multi-cloud delivery practice.
Different Teams, Locations, Time Zones, or Languages? We've Got You Covered.
Whether your teams are spread across countries, time zones, languages, or experience levels, we deliver tailored training programs that ensure a consistent learning experience across your global workforce.
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: Onsite, Virtual and Hybrid
Choose the format that fits your team: onsite workshops at your office, live virtual cohorts, or a hybrid mix across sites.
Onsite Training
Bring the instructor to your team for intensive workshop days with architecture whiteboards and paired lab work.
- Instructor at your office or facility
- Whiteboard architecture sessions
- Paired lab work with live coaching
- Aligned to your sprint calendar
Live Virtual Training
Join live from anywhere with interactive cloud labs, breakout rooms, and real-time instructor feedback.
- Live instructor with real-time Q&A
- Cloud-hosted lab environments
- Breakout rooms for team exercises
- Session recordings for revision
Hybrid Training
Split your cohort across virtual and onsite sessions while keeping one shared cloud lab environment, one instructor, and one delivery schedule.
- One cohort across virtual and onsite seats
- Shared cloud lab environment for all
- Single instructor and delivery plan
- Recorded sessions for async review
Need a customized training format that works for your team?
Our training delivery is customized to your team's schedule, full days, half days, sessions spread across weeks, or modular formats. Share your preferred timeline, and we'll plan the training around it.
Frequently Asked Questions
Share your team size, cloud accounts, and timeline and we will respond within one business day with a tailored quote.
Yes. A short call with a training advisor aligns the curriculum and labs to your clouds before you commit.
Yes. Live virtual cohorts run with interactive cloud labs, breakout rooms, and real-time instructor feedback.
Yes. Onsite delivery at your office or facility is available worldwide, aligned to your sprint calendar.
The program runs 24 hours of instructor-led training, typically delivered across three to four days or weekly 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.
Multi-cloud DevOps sits after CI/CD and infrastructure as code because your team needs both working on one platform first. Once delivery spans AWS and Azure, landing zone design gives the clouds a shared, governed foundation.
BUILD CI/CD
DevOps & CI/CD Engineering Training
Build CI/CD pipelines on a single platform before spreading across clouds.
ADD INFRASTRUCTURE AS CODE
Infrastructure as Code with Terraform & OpenTofu Training
Write Terraform or OpenTofu code that can target more than one cloud provider.
GO MULTI-CLOUD
Multi-Cloud DevOps (AWS & Azure) Training
Run pipelines, identity and infrastructure across AWS and Azure with consistent practice.
DESIGN LANDING ZONES
Multi-Cloud Architecture & Landing Zones Training
Design landing zones with accounts, networking and guardrails across clouds.
Why Choose Edstellar as Your Multi-Cloud DevOps (AWS and Azure) Training Provider
Edstellar delivers instructor-led DevOps training to engineering teams worldwide, with 5,000+ certified trainers and 2,000+ courses behind every engagement.
EXPERT TRAINERS
YEARS DELIVERING
ORGANIZATIONS TRAINED
CERTIFIED
Tailored
Labs run on your AWS and Azure accounts with your regions and guardrails, so practice mirrors your team's real estate.
Proven Methodology
A Diagnose, Standardize, Practice, Measure, Scale arc moves your team from baseline review to reliable multi-cloud delivery.
Practice-Based Learning
Every module includes a guided lab where engineers provision, pipeline, and deploy on real cloud resources with live coaching.
Expert Trainers
Instructors are working DevOps and platform engineers with real production experience on AWS and Azure estates.
Global Scale
Cohorts run across regions and time zones with consistent curriculum, lab environments, and instructor quality.
Measurable Outcomes
Pipeline reviews and a post-program capability summary show exactly what your team can deliver across both clouds.
Build AWS and Azure Release Pipelines With Repeatable Infrastructure and Controls
Edstellar develops multi-cloud DevOps skills through parallel AWS and Azure environments. Participants provision with Terraform, build gated delivery pipelines, and deploy container workloads before adding observability and cost controls. The final release demonstration is reviewed for repeatable infrastructure, consistent application behavior, and a runbook that explains promotion and operational checks.
- Step 01
Consult
We assess cloud, Linux, scripting, and build experience to identify gaps in cross-provider service mapping, Terraform, pipeline promotion, Kubernetes delivery, and operational controls.
- Step 02
Plan
We establish AWS and Azure foundations before Terraform provisioning and CI/CD engineering, then develop container delivery, observability, and guardrails ahead of the release-pipeline capstone.
- Step 03
Align
We align AWS and Azure DevOps expertise with participants' scripting readiness and existing tooling, introducing Terraform and Kubernetes concepts where the cohort needs foundational support.
- Step 04
Customize
Sample applications, parallel environments, and release gates reflect familiar delivery requirements, enabling tailored deployment and monitoring exercises without promoting changes into operational accounts.
- Step 05
Execute
Participants provision Terraform environments, deploy to both cloud clusters, and test promotion gates, receiving feedback on configuration consistency, monitoring coverage, and cost-control choices.
- Step 06
Evaluate
We assess the release pipeline for reproducible infrastructure, consistent deployments across providers, working promotion gates, and a runbook supported by monitoring and policy evidence.
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?
Multi-Cloud DevOps (AWS & Azure) 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 a Quote for Multi-Cloud DevOps (AWS and Azure) Training for Your Team
Tell us about your team, clouds, and goals. A training advisor will recommend the right cohort format, schedule, and lab focus for your delivery practice.