Choose your role, experience and technology. Compare relevant certifications, check exam details and request pricing for your shortlist.
Choose your current role or the role you want next.
Your experience and technology stack make a difference.
Useful for understanding AWS AI capabilities and discussing AI solutions with technical teams. A starting point before implementation-focused exams.
A good first AI credential; learn basic AI concepts and AWS services.
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.
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.
Validate Claude agent architecture skills.
For architects designing Claude-based systems.
Demonstrate Claude application-building skills.
For engineers with coding and API experience.
Connects data engineering with agent systems by focusing on assembling and governing useful context for AI.
Build familiarity with Databricks data, retrieval and agent workflows.
A platform-specific route for building generative AI solutions around Databricks data and AI services.
Practise Python, retrieval pipelines, model serving and application evaluation.
Fits consultants and advanced builders creating enterprise agents with Copilot Studio and connected business systems.
Have hands-on Copilot Studio experience, prompt engineering and REST API integration knowledge.
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.
Useful when you build generative AI applications close to data held in Snowflake.
Practise Snowflake AI features and build an end-to-end generative AI use case.
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.
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.
The catalog is curated and reviewed, not a live feed. New releases need another source review. Your saved shortlist stays in this browser.
Ship a grounded assistant with citations, an evaluation dataset, access controls and a cost dashboard.