Cloud

Multi-Cloud Architecture Bootcamp

Online

On-site

Hybrid

Multi-Cloud Architecture Bootcamp

Build a strong foundation in designing consistent and scalable multi-cloud architectures across AWS, Azure, and GCP using modern platform patterns. Learn how to map services, standardize security and networking, and deliver portable deployments using Terraform, Kubernetes, GitOps, and unified operational practices.

Duration:

5 days

Level:

Advanced

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1500+ users onboarded

Who will Benefit from this Training?

Cloud Engineers working across multiple providers
DevOps, SRE, and Platform Engineers
Solution Architects and Technical Architects
Security and Governance teams supporting cloud adoption
Engineering Leads driving cloud modernization

Training Objectives

Understand what multi-cloud means and evaluate when it makes sense and when it does not.
Compare and map core services across AWS, Azure, and GCP using a practical equivalency approach.
Design secure, scalable cloud architectures using network segmentation, least privilege, and private connectivity patterns.
Build multi-cloud network foundations with VPC and VNet designs, routing strategies, and ingress and egress governance.
Plan identity and governance with enterprise strategies including IAM and RBAC alignment, org-level policies, and audit controls.
Design cloud infrastructure patterns for compute, storage, and data layer options with provider-aware trade-offs.
Design modern platform approaches for multi-cloud using Kubernetes-based workloads and standard deployment processes.
Design CI/CD strategies that work across clouds using portable delivery practices.
Define observability standards and operational readiness for multi-cloud production systems.
Create a complete multi-cloud reference architecture and deployment blueprint including DR and cost governance.

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Key training modules

Comprehensive, hands-on modules designed to take you from basics to advanced concepts

Module 1: Multi-Cloud Fundamentals (When It Makes Sense and When It Does Not)
1. What multi-cloud means (strategy vs implementation)
2. Valid reasons for multi-cloud (resilience, regulatory, acquisitions, vendor strategy)
3. When not to do multi-cloud (complexity, skills, cost, slow delivery)
4. Decision framework (business drivers, workloads, constraints, success metrics)
5. Hands-on: Activity: Evaluate 3 scenarios and decide single-cloud vs multi-cloud with justification
Module 2: Service Equivalency Mapping (AWS vs Azure vs GCP)
1. Equivalency approach (capabilities first, naming second)
2. Compute mapping (VMs, autoscaling, serverless overview)
3. Storage mapping (object, block, file) and trade-offs
4. Networking and identity mapping (VPC/VNet, IAM/RBAC, policies)
5. Hands-on: Lab: Create a service equivalency matrix for a reference application
Module 3: Secure Architecture Principles (Segmentation, Least Privilege, Private Connectivity)
1. Network segmentation patterns (public, private, data subnets)
2. Least privilege identity patterns (roles, service identities)
3. Private connectivity patterns (private endpoints, service endpoints concepts)
4. Security boundaries (security groups/NSGs, NACL concepts)
5. Hands-on: Workshop: Design a secure baseline architecture and threat model key risks
Module 4: Multi-Cloud Network Foundations (VPC/VNet Design, Routing, Ingress/Egress Governance)
1. VPC and VNet design patterns (CIDR strategy, subnet layout)
2. Routing fundamentals (route tables, NAT/egress patterns)
3. Ingress governance (load balancers, WAF concepts, TLS termination)
4. Egress governance (NAT, firewall concepts, allowed destinations)
5. Hands-on: Lab: Build a reference network blueprint per cloud with consistent segmentation and routing
Module 5: Identity and Governance (IAM/RBAC Alignment, Org Policies, Audit Controls)
1. IAM vs RBAC concepts and aligning roles across clouds
2. Org-level governance (accounts/subscriptions/projects structure)
3. Policy controls concepts (guardrails, allowed regions/services)
4. Audit and traceability (logs, approvals, change history)
5. Hands-on: Workshop: Define an enterprise governance model for teams and environments across clouds
Module 6: Infrastructure Patterns (Compute, Storage, Data Layer Options and Trade-Offs)
1. Compute patterns (VMs, managed Kubernetes, serverless selection criteria)
2. Storage patterns (object storage as lake, backups, lifecycle policies)
3. Data layer options (managed SQL, NoSQL, caching concepts)
4. Provider-aware trade-offs (feature gaps, operational overhead, portability)
5. Hands-on: Activity: Choose a compute + data architecture per cloud for the same workload and compare
Module 7: Multi-Cloud Platform Approach (Kubernetes-Based Workloads and Standards)
1. Why Kubernetes is the portability layer (and what it does not solve)
2. Baseline workload standards (Deployments, Services, Ingress, config patterns)
3. Security and isolation standards (namespaces, RBAC, policies concepts)
4. Standard deployment processes (Helm/Kustomize concepts)
5. Hands-on: Lab: Define a cloud-agnostic workload template with config, probes, and resource limits
Module 8: Multi-Cloud CI/CD Strategies (Portable Delivery Practices)
1. Portable CI patterns (build once, deploy many)
2. Image strategy (registry approach, tagging, provenance concepts)
3. Environment promotion strategy (dev → stage → prod across clouds)
4. GitOps vs push-based CD and when to use each
5. Hands-on: Workshop: Design a CI/CD flow that deploys the same app to multiple clusters/clouds
Module 9: Observability and Operational Readiness (Standards for Multi-Cloud)
1. Observability standards (metrics, logs, traces) and SLI/SLO basics
2. Cross-cloud dashboards and alerting strategy (noise reduction)
3. Operational readiness (runbooks, on-call, incident response)
4. Resilience patterns (timeouts, retries, circuit breakers concepts)
5. Hands-on: Activity: Create an operational readiness checklist and alerting baseline for a multi-cloud system
Module 10: Capstone Blueprint (Multi-Cloud Reference Architecture with DR and Cost Governance)
1. Capstone goal: Produce a complete multi-cloud reference architecture and deployment blueprint
2. Network + identity + governance design across AWS/Azure/GCP
3. Kubernetes-based platform approach with standard deployment process
4. DR strategy (active-active vs active-passive concepts, data replication options)
5. Cost governance plan (tagging, budgets, guardrails, reporting)
6. Hands-on: Capstone Workshop: Deliver architecture diagram, decision matrix, and implementation checklist

Hands-on Experience with Tools

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Training Delivery Format

Flexible, comprehensive training designed to fit your schedule and learning preferences

Opt-in Certifications

AWS, Scrum.org, DASA & more

100% Live

on-site/online training

Hands-on

Labs and capstone projects

Lifetime Access

to training material and sessions

How Does Personalised Training Work?

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Skill-Gap Assessment

Analysing skill gap and assessing business requirements to craft a unique program

1

Personalisation

Customising curriculum and projects to prepare your team for challenges within your industry

2

Implementation

Supplementing training with consulting support to ensure implementation in real projects

3

Why multi-cloud architecture for your business?

Reduced vendor dependency: Lower exposure to provider outages and constraints with a clearer portability strategy.
Better global reach and compliance: Place workloads where performance and regulations demand.
Enterprise integration readiness: Supports acquisitions, legacy constraints, and mixed cloud estates with consistent patterns.
Improved governance and security maturity: Shared standards enforce repeatability across accounts and teams.
Future-ready platform design: Enables scaling teams, services, and regions with predictable operations.

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Frequently Asked Questions

1. What are the pre-requisites for this training?

The training does not require you to have prior skills or experience. The curriculum covers basics and progresses towards advanced topics.

2. Will my team get any practical experience with this training?

With our focus on experiential learning, we have made the training as hands-on as possible with assignments, quizzes and capstone projects, and a lab where trainees will learn by doing tasks live.

3. What is your mode of delivery - online or on-site?

We conduct both online and on-site training sessions. You can choose any according to the convenience of your team.

4. Will trainees get certified?

Yes, all trainees will get certificates issued by Uptut under the guidance of industry experts.

5. What do we do if we need further support after the training?

We have an incredible team of mentors that are available for consultations in case your team needs further assistance. Our experienced team of mentors is ready to guide your team and resolve their queries to utilize the training in the best possible way. Just book a consultation to get support.

Multi-Cloud Architecture Bootcamp

Who will Benefit from this Training?

Training Objectives

Build a high-performing, job-ready tech team.

Key training modules

Hands-on Experience with Tools