The courses and labs within these learning paths help learners understand the similarities and differences between the services provided by Google Cloud, Azure and AWS, helping you answer, “I do this on Azure what is the equivalent on Google Cloud?” As a bonus, complete the learning path to earn an industry-recognized Google Cloud skill badge, which you can add to your resume. Google Cloud Skills Boost offers two learning paths that are especially designed for professionals who already use and build cloud solutions on AWS and/or Azure. DataProcĪutomating deployments - JSON, Terraform, Git, Puppet, Chef, etcĪPIs - lifecycle management, proxies, integration, securityĪI and ML - generative AI, regular AI, tooling, ML modeling, etcĬourses to help you translate AWS and/or Azure skills to Google Cloud ExpressRoute, hairpinning, High Availability (HA) and Disaster Recovery (DR), load balancers, etc.}ĭata repos and movement - BigQuery vs. Network concepts and topologies - hub-n-spoke, VNET/VPCs, interconnect vs. Operations and management - Security Information and Event Management (SIEM) integration, policies, chargeback, hierarchies, and more Open source - operating systems, underlying OSS, open source frameworksĭevOps - Continuous Integration/Continuous Delivery (CI/CD), Agile, Scrum, rapid prototyping, etc. Kubernetes - Control planes, scaling rules, provisioning, etc Security - Key management, access controls, Distributed Denial of Service (DDoS), Web Application Firewall (WAF), etc.} Identity - Identity and Access Management (IAM), Role-based Access Controls (RBAC), Google Cloud Directory Sync On top of that, we’ve listed some of the core skills you will need to architect on It’s important to have a foundational level of cloud knowledge for at least one cloud provider. What are the basic skills you need to work across all major clouds?
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