
Multi-Cloud Architecture Program
Designs governed landing zones across the clouds the client runs

Architect it right, migrate it safely, pay for what matters.
We build cloud capability inside enterprises: the architects, the platform teams, and the cost discipline that make cloud a governed platform instead of a growing bill. Instructor-led programs across AWS, Azure, Google Cloud, migration, networking, and FinOps are how we do it, scoped to the platforms you run and delivered wherever your teams are.
Instructor-led workshops and programsIn-house, virtual or blended10+ languagesDelivered in English, Spanish, Mandarin, German, Arabic, Portuguese, Hindi, French, Japanese, Italian, and more100+ 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
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Cloud computing training is instructor-led group training that builds an organization's ability to design, run, and pay for workloads on public and private cloud platforms. It spans the three hyperscalers, AWS, Microsoft Azure, and Google Cloud, plus cloud architecture, migration, networking, containers, and FinOps cost governance. Programs are scoped to the platforms an employer actually runs and delivered to a closed cohort rather than sold as individual seats.
The commercial distinction is between cloud spend that compounds and cloud spend that is controlled. Certifications alone do not move workloads; group training builds shared practice: the same landing zone patterns, the same migration runbooks, and the same cost accountability across engineering and finance. For enterprises with material cloud bills, that shared practice is what turns cloud from a cost center into a governed platform.
Programs split across the major platform areas. Microsoft Azure, from administration to architecture and AKS. Amazon Web Services, from practitioner foundations to architecting, SysOps, and Lambda. Google Cloud, from core infrastructure to solutions architecture and distributed cloud. Plus the cross-cutting disciplines: migration and modernization, multi-cloud architecture, cloud networking, containers and Kubernetes, and FinOps.
Every engagement starts with discovery: which clouds, which workloads, which cost and sovereignty constraints, and which teams carry them. Trainers are then matched from a vetted bench of cloud architects and FinOps practitioners, and the program is tailored before delivery. Cohorts are closed to your organization, run in your timezone, and measured with pre- and post-assessments so L&D can show what changed.
Eleven areas carry most of the catalog. Start where your platform needs are greatest.
Cloud Computing programs to start with.
Move legacy client-server Oracle Forms to web-deployed Forms with minimal rework.
Set up QuickSight users, data sources, SPICE, row-level security and sharing for the organization.
Design and deploy reliable, scalable workloads on Google Cloud using the right services.
Assess applications, choose rehost, replatform or refactor, and plan migration waves that limit disruption.
Browse all 60 cloud computing programs across 11 topics, from Oracle Cloud, Azure, and Google Cloud to migration, architecture, containers, and FinOps. Filter by topic and delivery format, then request a tailored proposal.
SHOWING 1–15 OF 60 · 60 IN THE LIVE CATALOG
Configure Akamai caching, delivery and acceleration so pages and assets reach users quickly from the edge.
Set up QuickSight users, data sources, SPICE, row-level security and sharing for the organization.
Design secure, resilient, cost-aware AWS workloads using well-architected principles and the right service choices.
Design and deploy reliable, scalable workloads on Google Cloud using the right services.
Use Cost Explorer, budgets, tagging and right-sizing so builders see and control their own AWS spend.
Learn AWS core services, pricing, billing and the shared responsibility model in business-friendly terms.
Build, debug and deploy applications that use AWS SDKs, APIs, IAM, storage and databases.
Deploy, monitor, automate and troubleshoot AWS workloads, handling backups, scaling and incidents in production.
Deploy, scale, secure and operate Kubernetes clusters and workloads on AKS.
Design and run Logic Apps workflows with connectors, triggers and error handling.
Forecast demand, right-size resources and plan scaling so workloads have what they need.
Allocate, report and optimize cloud spend with tagging, budgets, commitments and shared accountability.
Track and reduce spend on GPUs, model APIs, training and inference with unit economics for AI.
Build a common understanding of cloud models, providers, security responsibilities and costs across the team.
Deploy, scale and manage applications on Cloud Foundry with buildpacks, services and routing.
Build your team’s capabilities in cloud computing with curated training programs arranged in a clear learning sequence. Each pathway builds skills progressively, helping your workforce achieve defined milestones and apply their learning to business goals.

Designs governed landing zones across the clouds the client runs
Architect multi-cloud environments: landing zone design, governance, networking and workload placement.
Architect resilient, cost-efficient solutions on AWS using core and advanced services
Design and deploy scalable solutions on Microsoft Azure across compute, networking and storage
Architect applications on Google Cloud using managed services, Anthos and hybrid patterns

Plans and executes application moves to cloud with resilience built in
Plan and execute cloud migrations: assessment, application modernisation patterns and cutover strategies.
Architect multi-cloud environments: landing zone design, governance, networking and workload placement.
Engineer cloud-native applications with containers and Kubernetes: deployments, services, scaling and operations.
Design cloud resilience and business continuity: multi-region architectures, failover and disaster recovery testing.

Extends network engineering skills into the client's cloud platforms
Configure AWS networking: VPCs, Transit Gateway, Direct Connect and hybrid connectivity
Configure Azure networking: VNets, ExpressRoute, Front Door and hybrid connectivity
Configure Google Cloud networking: VPCs, Cloud Interconnect, load balancing and hybrid connectivity
Explore cloud computing training aligned with your teams’ functions, job roles, industry and tools. Help your teams build the knowledge and practical skills to apply cloud computing across your organization, supporting your business priorities and evolving needs.
Assess workloads and dependencies before choosing a migration path. Strengthen wave planning, cutover validation and recovery options to reduce disruption during transitions.
Operate cloud services against clear reliability and support expectations. Improve observability, incident response and capacity routines as workloads and usage change.
Establish practical safeguards across cloud identities, data and workloads. Build repeatable assessment and response practices that reflect shared responsibilities and organizational risk.
Connect cloud usage with accountability and business value. Develop allocation, forecasting and optimization practices that support informed trade-offs rather than indiscriminate cost cutting.
Design cloud data services around quality, access and operational needs. Strengthen ingestion, storage choices and workload management to support dependable analytics and data products.
Choose modernization approaches that fit application needs and constraints. Practice managed-service integration, deployment changes and performance validation without adding unnecessary complexity.
Translate workload requirements into defensible cloud designs. Evaluate reliability, security, performance and cost together while documenting the trade-offs that matter.
Align cloud initiatives with business outcomes, skills and operating-model changes. Strengthen roadmaps, stakeholder decisions and governance so adoption is sustainable beyond individual projects.
Build hands-on familiarity with AWS services and their operational responsibilities. Practice resource setup, identity controls and workload monitoring within an approved AWS environment.
Develop practical capability in Azure resources, identity and governance. Learn how landing-zone principles, workload deployment and monitoring fit together in a managed environment.
Training a role that is not listed, or a mix of them? Tell us who you are training and what they need to do, and we build the shortlist
Where cloud teams most often cross-train, based on how these courses are classified.
Domain-level outcomes, not course objectives. These are the capabilities enterprises usually buy this training to build.
Design governed landing zones, network topologies, and identity models across AWS, Azure, and Google Cloud.
Plan and execute application moves with runbooks, cutover discipline, and resilience built in.
Run Kubernetes, serverless, and edge workloads with production-grade operational practice.
Tie cloud and AI spend to unit economics, with accountability shared by engineering and finance.
Extend enterprise networking into cloud VPCs with consistent security and connectivity.
Meet data residency and sovereignty requirements on public, private, and government cloud.
Move from click-ops to pipelines, policy as code, and automated guardrails.
Onsite, live virtual, or hybrid, every program is instructor-led and built around your teams.
A trainer comes to your office and works face to face with your team, using your policies and your examples.
For small teams or enterprise-wide training, across one site or multiple global locations, in one language or multiple languages.
Get a QuoteExpert-led live online sessions delivered anywhere, with consistency and easy scheduling. Training tools such as Zoom or Microsoft Teams are selected subject to your organization's approval and compliance requirements.
For small teams or enterprise-wide training, across one site or multiple global locations, in one language or multiple languages.
Get a QuoteCombine in-person sessions with live online training in a coordinated instructor-led program, with the mix planned around your team's needs.
For small teams or enterprise-wide training, across one site or multiple global locations, in one language or multiple languages.
Get a QuoteCloud capability needs to reflect how your organization builds, runs and governs workloads. Edstellar designs customized, role-based, instructor-led training for architects, developers, operations teams and technology leaders around those responsibilities. Practical scenarios connect service choices, migration, reliability and cost with business priorities, while flexible learning helps teams respond to changing architectures, operating models and the demands of new workloads.

Explore architecture and migration choices using relevant workload scenarios
Align development, architecture and operations learning with shared service ownership
Evaluate reliability, security, performance and cost when selecting approaches
Adapt capabilities as services, deployment patterns and workload requirements change
Experience across industries brings business context to cloud learning
Company-wide training experience informing practical learning for cloud teams
Company-wide trainer network supporting cloud learning and complementary business skills
Edstellar's certified quality and information-security management systems support cloud training delivery
Every engagement runs the same five stages, from capability baseline through delivery to sustained measurement.
We meet your stakeholders and L&D team to baseline what your people can do today against the Cloud capability you need.
Weeks 1–2
Programs are assembled against your policies, obligations, and team levels, then trainers are shortlisted from the vetted bench.
Weeks 2–4
Closed-cohort instructor-led sessions in your language and timezone, with labs, exercises, and materials shipped alongside.
Scheduled to your calendar
Pre- and post-assessments establish a measurable change in capability, benchmarked against role frameworks.
Immediately after delivery
Retrospectives, refresher modules and skill-refresh tracking keep the investment from decaying, and the measured gaps feed the next cycle.
Quarterly
Stage 05 feeds the next cycle: the gaps it measures become the next Discover.
Also from Edstellar
Psychometric, behavioral, leadership and 360-degree assessment.
Needs analysis, gap identification, and a training roadmap.
Learning strategy, content, technology and ROI measurement.
Org design, succession planning and cultural change.
Training outsourcing, vendor management, logistics and administration.
Executive and manager coaching that keeps skills in use.
Cloud architects, platform engineers, administrators, developers, network engineers, and FinOps teams. A separate track covers technology leaders on cost governance.
Instructor-led and live, as a closed cohort for your team, onsite, virtual, or hybrid. There are no self-paced modules. You choose the format, location, language, and schedule.
Yes. Programs cover AWS, Microsoft Azure, and Google Cloud, plus private platforms like Nutanix and OpenStack. Multi-cloud tracks combine them.
Yes. Migration tracks cover assessment, landing zones, application modernization, and cutover planning for your actual workloads.
Most programs run 24 to 34 hours across several sessions. Multi-program bundles and platform-wide rollouts are scheduled around your calendar.
Cohorts run from a single small team up to enterprise rollouts of hundreds, with one trainer per cohort for discussion quality.
Yes. Labs run on real cloud consoles: provisioning, networking, and cost scenarios your engineers will recognize.
Pre- and post-assessments benchmark each participant against role frameworks, with a completion report showing measured change per cohort.
Yes. FinOps tracks tie cloud spend to unit economics and AI costs, built for engineering, finance, and leadership together.
Yes. Architecture tracks map to AWS, Azure, and Google Cloud certification paths, with exam-focused preparation.
Yes. Your landing zone patterns, policies, and tagging standards are built into the materials and labs.
Yes. Sovereignty and regulated-industry tracks cover data residency, government cloud, and compliance constraints.
Discovery to delivery typically takes two to four weeks, depending on customization depth and trainer matching for your platforms.
Pick the scale that matches your rollout. Every quote is tailored to your teams and timeline.
Team size
1–25 PARTICIPANTS
One or two programs for a single team, delivered as a closed cohort. The usual entry point for a first Cloud engagement.
26–150 PARTICIPANTS
Multiple cohorts or programs for larger teams, with delivery structured around your workforce and training requirements.
151–1,000 PARTICIPANTS
A coordinated rollout across business units, with role-based tracks and central reporting for L&D.
1,000+ PARTICIPANTS
Cloud capability at organizational scale, with dedicated management and measurement from pilot to rollout.
Tell us which teams you are training and what they need to be able to do. Anything you filtered in the catalog comes through with your message.