Certifications covering public cloud platforms, architecture, migration and cost management.
Cloud certifications validate that you can design, deploy and operate workloads on a managed platform rather than on hardware you own. Every major vendor now runs a tiered programme: a fundamentals exam that establishes vocabulary and billing concepts, role-based associate exams for administrators, developers and architects, and professional tiers that test trade-offs at scale.
The exams in this category are the most portable credentials in IT, because the underlying concepts — identity, networking, storage tiers, elasticity, shared responsibility — transfer between platforms even when the service names do not.
The entry point to the AWS programme: core cloud concepts, the shared responsibility model, the main service families, and how AWS pricing and support actually work.
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44 exams
43 with practice · 1 guide only
The most popular AWS exam: designing secure, resilient, high-performing and cost-optimised architectures across compute, storage, networking and database services.
The core Azure operations exam: identity and governance, storage, compute, virtual networking, and the monitoring and backup that keeps a subscription healthy.
The entry point to the AWS programme: core cloud concepts, the shared responsibility model, the main service families, and how AWS pricing and support actually work.
Azure entry point covering cloud concepts, the core Azure service families, and the management and governance tooling that keeps a subscription under control.
A foundational AI credential covering machine learning basics, generative AI concepts, prompt engineering, foundation model selection and responsible AI governance on AWS.
Professional-tier architecture: multi-account governance, hybrid connectivity, migration and modernisation strategy, and continuous improvement of workloads already in production.
The Azure architect exam: designing identity and governance, data storage, business continuity and infrastructure that meets stated availability, cost and compliance requirements.
Building, deploying and debugging cloud-native applications on AWS: SDK behaviour, serverless patterns, authentication flows, deployment pipelines and troubleshooting.
An accessible introduction to AI on Azure: machine learning principles, computer vision, language processing and generative AI, plus responsible AI considerations.
Building applications on Azure: compute options from App Service to Functions and containers, storage APIs, authentication, and integration through messaging and events.
The hands-on associate exam: setting up a cloud environment, planning and configuring solutions, deploying and operating workloads, and configuring access and security.
The standard infrastructure-as-code credential: Terraform workflow and state, modules and providers, variables and outputs, and how HCP Terraform changes team collaboration.
Designing and operating data pipelines on AWS: ingestion and transformation, storage selection, orchestration, data quality, and governance across the analytics stack.
Securing Azure in practice: identity and access hardening, network security, protecting compute, storage and databases, and running security operations with Defender and Sentinel.
Google’s flagship architecture exam: designing and planning cloud architectures, managing infrastructure, designing for security and compliance, and ensuring operational reliability.
Automating delivery and operations at professional depth: pipeline design, infrastructure as code, resilient deployments, observability and automated incident response.
Specialty-level cloud security: threat detection and response, logging and monitoring, infrastructure and data protection, identity design, and governance at scale.
End-to-end delivery on Azure DevOps and GitHub: source control strategy, build and release pipelines, dependency management, security and compliance, and instrumentation.
The operations-focused associate exam: monitoring and remediation, reliability, provisioning automation, networking and cost control for running AWS workloads day to day.
Vendor-neutral cloud security: cloud architecture and design, data security, platform and infrastructure security, application security, operations, and legal and compliance obligations.
The deepest AWS networking exam: hybrid connectivity design, transit architectures, DNS strategy, network automation and troubleshooting complex routing at scale.
A business-oriented introduction to Google Cloud: digital transformation, data and AI capabilities, infrastructure modernisation, and the trust and security model.
The entry point to the cloud native ecosystem: Kubernetes fundamentals, container orchestration concepts, cloud native architecture, observability and application delivery.
Azure networking at engineer depth: hub-and-spoke and Virtual WAN design, hybrid connectivity with VPN and ExpressRoute, load balancing, private access and monitoring.
The successor to SOA-C02: operating workloads on AWS — monitoring and observability, reliability and continuity, deployment and automation, security and compliance, then networking and cost.
Securing Google Cloud environments: access configuration, boundary protection and secure communications, data protection, security operations, and compliance support.
Site reliability engineering on Google Cloud: bootstrapping an organisation for DevOps, building CI/CD pipelines, applying SRE practices, and monitoring and optimising services.
The first half of the Windows Server hybrid track: Active Directory in on-premises and cloud environments, hybrid server management, virtual machines, networking and file services.
Running SQL Server and Azure SQL as a database administrator: platform planning, security, performance tuning, task automation, and high availability and disaster recovery.
Google Cloud networking at professional depth: designing and prototyping networks, implementing VPCs and network services, hybrid interconnectivity, and network operations.
Cloud security posture and workload protection with Prisma Cloud: onboarding cloud accounts, policy and compliance, container and serverless defence, and integrating with CI/CD.
The OCI entry exam: core cloud concepts, the main Oracle Cloud Infrastructure services across compute, storage, networking and database, plus pricing, support and security basics.
Building cloud-native applications on Google Cloud: designing for scale and reliability, building and testing, deploying, integrating managed services, and operating what you ship.
Architecting on Snowflake: account and data architecture design, security and governance at scale, performance optimisation, and designing data sharing and application patterns.
Designing and deploying on Oracle Cloud Infrastructure: identity and compartments, virtual cloud networks, compute and storage services, and database and observability options.
Platform-agnostic cloud operations: architecture and design, deployment, day-two operations, cloud security, DevOps fundamentals and troubleshooting across providers.
Administering VMware Cloud Foundation: the SDDC architecture, workload domain deployment, lifecycle management, and operating an integrated private cloud stack.
Managed databases on Google Cloud: designing scalable database solutions, managing operations and migrations, and running a database estate across engines and regions.
Professional-tier OCI architecture: designing for high availability and disaster recovery, hybrid connectivity, migration strategy, security design and cost optimisation at scale.
Building cloud-native applications on OCI: containers and Kubernetes, serverless functions, API gateways, messaging and the developer tooling around the platform.
Running SAP on Azure: sizing and designing the supporting infrastructure, migrating workloads, building high availability and disaster recovery, and operating the result.
Deploying Palo Alto software firewalls in virtual and containerised environments: VM-Series and CN-Series design, cloud deployment, automation and licensing models.
Running VMware workloads on public cloud: hybrid architecture, deploying and managing software-defined data centres in the cloud, and migrating workloads between them.
An entry-level AI exam on Oracle Cloud: machine learning and deep learning concepts, generative AI and large language models, and the OCI AI services that implement them.
How many exams each provider contributes here.
Where each exam sits, so you can plan a progression rather than a single jump.
Multi-exam credentials in this category.
Microsoft’s Azure architecture credential, earned by holding the Azure Administrator Associate certification and passing the AZ-305 design exam.
Microsoft
44 exams from 11 vendors are tagged to Cloud Computing. Exams appear in this category when it is either their primary focus or a substantial secondary one.
AWS Certified Solutions Architect – Associate (SAA-C03) is the most common entry point. The most popular AWS exam: designing secure, resilient, high-performing and cost-optimised architectures across compute, storage, networking and database services.
AWS Certified Solutions Architect – Associate (SAA-C03), Microsoft Azure Administrator (AZ-104) and AWS Certified Cloud Practitioner (CLF-C02) are the most frequently pursued in this category.
DevOps & SRE
Continuous delivery, infrastructure as code, observability and site reliability engineering exams.
Networking
Routing, switching, wireless, SD-WAN and cloud networking exams from vendor and neutral programmes.
Cybersecurity
Credentials for defenders, testers, analysts and security leaders across every vendor programme.