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Your experience and technology stack make a difference.
Useful for developers who build and maintain applications on AWS. Align preparation with a real deployed application rather than service memorisation.
Have practical programming experience and experience with AWS application services.
For automating work across Cisco infrastructure.
Build hands-on experience with this Cisco technology before attempting the assessment.
Demonstrate Claude application-building skills.
For engineers with coding and API experience.
A direct fit for developers creating and deploying AI apps and agents in Microsoft Foundry.
Be comfortable developing Python applications and working with Azure and generative AI.
Fits backend developers building the cloud services that support AI applications through the full development lifecycle.
Build backend development, Azure deployment and application-security experience.
For developers extending Salesforce with custom logic and interfaces.
Practise the relevant Salesforce product in a hands-on environment before booking.
A strong specialisation for developers building production generative AI applications on AWS, including secure retrieval, agent workflows and operational quality.
AWS targets 2+ years building production applications and one year implementing generative AI solutions.
For developers building complex, maintainable Salesforce applications.
Practise the relevant Salesforce product in a hands-on environment before booking.
Build a common cloud vocabulary before moving into a technical AWS role. It supports foundational understanding rather than proving production engineering ability.
Start here if you are new to cloud; pair it with basic AWS labs.
The current Azure AI foundation exam for aspiring technical AI professionals. Provides a bridge into building Azure AI applications.
Learn basic Python syntax, programming techniques and Azure resources. This is more technical than a business AI credential.
Builds Azure vocabulary for a first cloud role or for working with Microsoft-based technical teams.
A starting point for people new to Azure.
An introductory option for learning about agentic AI in the Oracle ecosystem. Follow it with a practical agent project.
Begin with the official foundations learning path and practice assessment.
These are Global Certs IT editorial fit ratings, not official provider rankings or learner reviews. A 5/5 role match is directly aligned with the role; 4/5 adds supporting skills. Experience adjusts the score to help you distinguish a practical next step from a stretch goal.
With “Any experience”, ratings show role relevance alone. A credential supports your profile; practical skills, projects and your target employer’s technology still matter.
Official pages were checked on 2026-09-13. Bookable betas are labelled. Known retired exams are excluded from recommendations. Confirm exam versions, regional availability, eligibility and fees on the linked official page before paying.
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Build an authenticated API with integration tests, deployment automation and production observability.