Multi-Cloud DevOps Engineering training

Navigate Multi-Cloud Environments with Expertise

Develop the automation and orchestration skills that modern organisations need across AWS, Azure, and Google Cloud Platform.

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What This Programme Delivers

This advanced programme takes you beyond single-platform knowledge to develop genuine multi-cloud capabilities. You'll learn to build automated deployment pipelines, orchestrate containers, and implement infrastructure as code across different cloud providers.

Platform-Agnostic Expertise

Work confidently across AWS, Azure, and Google Cloud Platform. Understanding multiple cloud providers makes you more valuable to organisations navigating multi-cloud strategies or considering platform migrations.

Automation Mastery

Build continuous integration and deployment pipelines that reduce manual work and improve reliability. These automation skills are increasingly essential in modern development and operations teams.

Container Orchestration Skills

Master Kubernetes and Docker for container management across cloud platforms. Container expertise opens opportunities in organisations modernising their application deployment approaches.

Career Advancement Potential

DevOps engineers with multi-cloud experience are sought after as organisations adopt hybrid and multi-cloud strategies. This programme positions you for roles that require sophisticated automation knowledge.

Recognising Where You Are Currently

Perhaps you've noticed organisations moving towards multi-cloud strategies whilst you remain focused on a single platform. The DevOps landscape has grown complex, with containerisation, orchestration, and automation becoming standard expectations rather than specialised skills.

Common Situations We See

1

Single Platform Limitation

Your experience might be concentrated on one cloud platform, limiting your ability to participate in multi-cloud projects or compare platform capabilities. This specialisation can feel restricting as organisations adopt varied cloud strategies.

2

Manual Process Burden

Without proper automation, deployments and infrastructure changes consume significant time and carry risk of human error. Watching teams with sophisticated pipelines work efficiently can highlight gaps in your own capabilities.

3

Container Knowledge Gaps

Kubernetes and container orchestration have become standard in many organisations, yet these technologies can seem daunting without structured learning. Feeling left behind as colleagues discuss containerisation strategies is discouraging.

4

Limited Career Mobility

DevOps roles increasingly expect multi-cloud and automation expertise. Without these skills, you might find yourself overlooked for positions that offer greater responsibility and satisfaction, watching opportunities go to candidates with broader platform knowledge.

Our Multi-Cloud DevOps Approach

Rather than treating each cloud platform separately, we help you develop transferable concepts that apply across AWS, Azure, and Google Cloud. You'll understand both platform-specific implementations and cloud-agnostic patterns.

Cross-Platform Foundation

We start by establishing common ground across cloud platforms. Compute, storage, networking, and identity management work differently on each platform, but the underlying concepts remain consistent. Understanding these patterns helps you navigate new platforms confidently.

Through comparative labs, you'll implement similar solutions on AWS, Azure, and GCP. This approach reveals platform differences whilst building your ability to choose appropriate services for specific requirements. You'll develop the judgment that comes from hands-on comparison rather than theoretical knowledge.

Pipeline and Automation Development

Continuous integration and deployment pipelines transform how teams release software. You'll work with Jenkins, GitLab CI/CD, and cloud-native pipeline services to build automated workflows that test, build, and deploy applications reliably.

Starting with simple pipelines and progressing to complex workflows with multiple stages, you'll develop the skills to design automation that fits organisational needs. These capabilities reduce deployment friction and allow teams to focus on development rather than manual processes.

Container Technology Mastery

Docker containerisation and Kubernetes orchestration have become fundamental to modern application deployment. Rather than overwhelming you with Kubernetes complexity, we build your understanding progressively from basic container concepts to sophisticated orchestration patterns.

You'll deploy containerised applications, manage scaling, handle updates, and implement service meshes. These practical exercises develop the confidence needed to work with production Kubernetes clusters. Understanding containers opens opportunities in organisations modernising their infrastructure.

Monitoring and Observability

DevOps extends beyond deployment to understanding system behaviour in production. You'll implement monitoring with Prometheus and Grafana, learning to collect metrics, create dashboards, and establish alerting that helps teams respond to issues before they impact users.

This observability knowledge helps you design systems that are maintainable and debuggable. Teams value DevOps engineers who understand not just how to deploy applications, but how to ensure they continue running reliably.

Infrastructure as Code Practices

Managing infrastructure through code rather than manual configuration is central to DevOps practices. You'll work with Terraform for cloud-agnostic infrastructure definition and platform-specific tools for each cloud provider.

Through progressively complex scenarios, you'll learn to define, version, and manage infrastructure alongside application code. This approach enables reproducible environments and reduces the risk of configuration drift between development and production.

Your Learning Journey

Participants typically find the multi-cloud approach more manageable than expected. Working across platforms simultaneously helps you understand fundamental concepts more deeply than focusing on a single provider.

Comparative Platform Learning

Work with AWS, Azure, and GCP in parallel through structured modules. This approach helps you see similarities and differences clearly, building transferable knowledge rather than isolated platform-specific facts.

Practical Pipeline Construction

Build actual CI/CD pipelines in sandbox environments. You'll configure automated testing, implement deployment strategies, and handle common pipeline challenges through hands-on exercises.

Container Orchestration Labs

Deploy and manage containerised applications using Docker and Kubernetes. These labs provide the practical experience that builds confidence in container technologies.

Monitoring Implementation

Set up monitoring systems using Prometheus and Grafana. You'll learn to collect meaningful metrics, create informative dashboards, and establish alerting that supports operational teams.

Support Throughout Your Learning

DevOps concepts can be challenging, particularly when working across multiple platforms. You'll have access to experienced instructors who understand these challenges and can provide guidance when you encounter difficulties. Their practical experience helps bridge the gap between theory and real-world application.

Lab Environments

Access to sandbox environments across all three cloud platforms

Instructor Guidance

Support from professionals with production DevOps experience

Practical Scenarios

Real-world challenges that mirror professional DevOps work

Programme Investment

£3,199
Complete Multi-Cloud DevOps Programme

Comprehensive Programme Includes

Multi-Platform Learning Modules

Structured curriculum covering AWS, Azure, and Google Cloud Platform with comparative approach and practical examples.

Sandbox Access Across All Platforms

Practise on AWS, Azure, and GCP in dedicated environments without cost concerns or production system risks.

CI/CD Pipeline Development

Build automated pipelines using Jenkins, GitLab CI/CD, and cloud-native services through hands-on exercises.

Container Technology Training

Comprehensive Docker and Kubernetes instruction from fundamentals to advanced orchestration patterns.

Infrastructure as Code Practices

Learn Terraform for cloud-agnostic infrastructure and platform-specific automation tools.

Monitoring and Observability

Implement monitoring with Prometheus and Grafana, including metrics collection, dashboards, and alerting.

Microservices and Serverless Patterns

Explore modern architectural approaches including microservices deployment and serverless implementations.

Experienced Instructor Support

Guidance from DevOps professionals with production experience across multiple cloud platforms.

Value Perspective

This programme represents a significant investment in developing multi-cloud DevOps capabilities that are increasingly valued in the industry. The comprehensive coverage of AWS, Azure, and GCP, combined with automation and container expertise, positions you for roles that require sophisticated cloud engineering knowledge. Participants often find that the versatility gained from multi-cloud understanding provides career flexibility and increased organisational value.

Development Path and Timeline

The multi-cloud approach means you'll develop breadth alongside depth. Most participants find this broader perspective helps them understand cloud technologies more thoroughly than single-platform specialisation.

Expected Learning Progression

Weeks
1-5

Multi-Cloud Foundations

You'll establish familiarity with AWS, Azure, and GCP services through comparative learning. By understanding how different platforms approach similar problems, you develop transferable cloud knowledge. Most participants find this comparative approach clarifies cloud concepts more effectively than platform-specific study.

Weeks
6-10

Automation and Pipeline Development

Focus shifts to building CI/CD pipelines and infrastructure automation. You'll implement progressively complex workflows, learning to handle testing, deployment, and rollback strategies. Container basics are introduced, preparing you for orchestration topics.

Weeks
11-14

Container Orchestration Mastery

Deep work with Kubernetes and container orchestration patterns. You'll deploy applications, manage scaling, implement service meshes, and handle common operational challenges. This phase builds confidence in container technologies that many organisations now consider essential.

Weeks
15-16

Advanced Topics and Integration

Bring together monitoring, security, and optimisation across cloud platforms. You'll work on comprehensive scenarios that integrate multiple technologies. By this stage, participants typically feel comfortable navigating different cloud platforms and implementing sophisticated DevOps practices.

Tracking Your Progress

Throughout the programme, you'll have various checkpoints to assess your developing capabilities. These help identify areas where you're building confidence and topics that might benefit from additional practice.

Practical Implementations

Build actual pipelines, deploy containerised applications, and implement infrastructure as code. These hands-on projects demonstrate your growing capabilities.

Platform Comparisons

Implement similar solutions across different clouds, developing the ability to evaluate platform trade-offs and choose appropriate services.

Technical Challenges

Solve realistic DevOps problems that test your understanding of concepts and ability to apply them in practical scenarios.

Architecture Reviews

Discuss your solution designs with instructors, gaining perspective on DevOps patterns and best practices from experienced professionals.

Supporting Your Success

We recognise that multi-cloud DevOps training represents both a time commitment and financial investment. Our approach focuses on making your learning experience as productive and supported as possible.

Pre-Programme Discussion

Before enrolling, we'll discuss your current experience and goals to ensure this programme matches your needs. This conversation helps both parties understand whether the multi-cloud DevOps focus aligns with your career direction.

Comprehensive Lab Access

Practise across all three cloud platforms without worrying about costs. The sandbox environments allow you to experiment freely, which is essential for developing genuine DevOps capabilities.

Experienced Guidance

Instructors with production DevOps experience understand the challenges you'll face. They can provide perspective on real-world DevOps work and help you navigate complex topics.

Flexible Learning Schedule

Whilst there's a recommended pace, you can adjust your schedule based on work commitments and learning preferences. The structure accommodates different learning speeds.

Realistic Outcome Expectations

This programme provides structured learning and practical experience across multiple cloud platforms. Success requires your active engagement with labs, exercises, and concepts. You'll develop genuine multi-cloud DevOps capabilities, but the depth of your learning depends on the effort you invest. Most participants who consistently work through the material find themselves better positioned for DevOps roles and able to contribute to multi-cloud projects.

Beginning Your Journey

Starting multi-cloud DevOps training involves a few straightforward steps. Here's what to expect when you reach out.

1

Initial Discussion

We'll discuss your current technical background and career interests. This helps us understand whether multi-cloud DevOps training suits your situation and goals.

2

Programme Details

If you decide to proceed, you'll receive comprehensive information about the curriculum, lab access, and time commitment expectations to help you prepare.

3

Start Learning

Begin working through modules with access to multi-platform labs and instructor support. You'll have everything needed to develop your DevOps skills.

Common Questions

Do I need experience with all three cloud platforms?

Not at all. Many participants have experience with one platform or none. The programme is designed to build multi-cloud understanding regardless of your starting point.

Is prior DevOps experience required?

General IT experience is helpful, but specific DevOps background isn't required. We build from foundational concepts to advanced practices progressively.

How much time should I allocate?

The programme is designed for working professionals. Regular consistent engagement tends to produce better results than sporadic intensive sessions, though the flexible structure accommodates different schedules.

What if I struggle with certain concepts?

Instructor support is available when you encounter difficulties. DevOps concepts can be challenging, and having experienced guidance helps you work through complex topics.

Interested in Multi-Cloud DevOps Training?

We'd be pleased to discuss how this programme might fit with your career goals and technical background. Let's have a conversation about your options.

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Or reach us at +44 121 634 7892

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