Microsoft Azure Fundamentals
Use AZ-900 to build a vendor-specific cloud vocabulary before choosing an administrator, developer, data, AI, security, or architecture route.
Compare role fit, study focus, original practice, current provider context, and the portfolio evidence that makes learning useful. These independent guides do not predict exam or hiring outcomes.
For the complete 455-path catalog, use the Learner Toolkit.
Use AZ-900 to build a vendor-specific cloud vocabulary before choosing an administrator, developer, data, AI, security, or architecture route.
Choose AZ-104 when your target work includes identity, governance, compute, storage, networking, monitoring, backup, and day-two Azure operations.
Choose AZ-305 when you can already operate Azure workloads and need to justify architecture decisions across identity, data, continuity, infrastructure, and governance.
Choose AZ-400 when you need to connect source control, continuous delivery, security, observability, experimentation, and team flow in Microsoft-centered environments.
Use AI-901 to learn the current Microsoft AI fundamentals vocabulary, responsible-AI expectations, and service-selection patterns before moving into app, agent, or operations work.
Choose AI-103 when your work requires grounded applications, agents, multimodal services, evaluation, safety, and operational integration on Azure.
Choose AI-300 when you need to operationalize machine learning and generative AI with governed delivery, evaluation, observability, security, and recovery.
Use DP-900 to understand relational, non-relational, analytics, and data-processing choices before committing to a deeper engineering, database, or analytics route.
Choose DP-600 when you need to design, prepare, secure, optimize, and operate analytical assets across OneLake, semantic models, SQL, KQL, and Power BI.
Use SC-900 to build Microsoft security, compliance, and identity vocabulary before moving into operations, identity, information protection, or architecture.
Choose SC-200 when your target work involves investigating threats, building detections, managing incidents, and using Microsoft Sentinel and Defender evidence.
Use CLF-C02 to understand AWS cloud value, security, services, billing, and support before selecting an architecture, developer, operations, data, or AI path.
Choose SAA-C03 when you need broad AWS architecture judgment across resilience, performance, security, and cost rather than deep operation of one service.
Use AIF-C01 to understand AI and generative AI concepts, AWS managed services, responsible use, security, and business-value decisions before deeper engineering.
Choose MLA-C02 when you need production-oriented AWS data preparation, model development, deployment, monitoring, security, and generative AI operations.
Use Cloud Digital Leader to connect Google Cloud capabilities to transformation, data, AI, infrastructure, security, sustainability, and operating decisions.
Choose Associate Cloud Engineer when you need to deploy, secure, monitor, and operate Google Cloud workloads with practical command-line and console fluency.
Choose Professional Cloud Architect when you need to translate business and technical requirements into secure, reliable, scalable, and cost-aware Google Cloud designs.
Choose Terraform Associate when you need a solid workflow for declarative infrastructure, state, modules, providers, plans, lifecycle, and collaborative delivery.
Choose CKA when you need hands-on cluster operation across workloads, scheduling, networking, storage, maintenance, security basics, and troubleshooting.
Choose CKAD when you need to design, configure, observe, and troubleshoot cloud-native applications rather than administer the entire cluster.
Choose CKS after Kubernetes administration foundations when you need supply-chain, cluster, workload, runtime, network, and incident-response security.
Choose GH-300 when you need responsible Copilot use across IDEs, CLI, agents, prompting, context, testing, privacy, security, and organizational adoption.
Choose GH-500 when you need to operate code scanning, secret scanning, dependency security, remediation workflows, and governance across GitHub repositories.
Choose Databricks Generative AI Engineer Associate when your target work combines data, retrieval, models, agents, evaluation, governance, and production delivery on the Databricks platform.