Artificial intelligence is no longer a niche specialty — it's becoming a core literacy expected across technology, business, marketing, and operations roles. If you're looking to validate your AI knowledge, the three major cloud providers each offer entry-level AI certifications. But which one should you pursue first?
The AI Certification Landscape
The entry-level AI certification space is dominated by three credentials:
- Microsoft Azure AI Fundamentals (AI-900)
- Google AI Essentials (non-technical) or Google Cloud Digital Leader
- AWS Certified AI Practitioner
All three are designed for beginners — no programming or math prerequisites are required. They focus on concepts, use cases, and the vendor's own AI services rather than hands-on model building.
Microsoft AI-900: Azure AI Fundamentals
The AI-900 is widely regarded as the most approachable entry-level AI certification. Microsoft has invested heavily in AI education through its Copilot and Azure OpenAI products, and the exam reflects a broad, conceptual curriculum.
- Cost: ~$165
- Study time: 3–6 weeks
- Format: ~60 multiple-choice questions, 60-minute exam
- Best for: Business analysts, project managers, non-developers entering AI
Tip: Microsoft offers free AI-900 preparation on Microsoft Learn, including interactive modules and practice assessments. It's one of the best free study paths available for any cloud certification.
Google AI Essentials / Cloud Digital Leader
Google offers two relevant entry-level options. The Google AI Essentials course (Coursera) is a non-proctored certificate focused on using AI tools in the workplace. The Cloud Digital Leader exam is a formal proctored certification covering Google Cloud products including AI services.
- Cost: ~$200 for Cloud Digital Leader; AI Essentials is part of a Coursera subscription
- Best for: Those interested in Google Cloud or already in a Google Workspace environment
AWS Certified AI Practitioner
Amazon launched the AWS Certified AI Practitioner credential in 2024, targeting professionals who want to understand AI/ML concepts within the AWS ecosystem. It covers Amazon Bedrock, SageMaker, and responsible AI principles.
- Cost: ~$150
- Study time: 4–8 weeks
- Best for: Those already using AWS or targeting AWS-heavy employers
Which Should You Take First?
The answer depends on your situation:
- If you work with Microsoft products (Office 365, Azure, Teams) → Start with AI-900.
- If you're targeting cloud roles at AWS-heavy companies → AWS AI Practitioner makes sense alongside Cloud Practitioner.
- If you're focused on data or analytics → Google Cloud Digital Leader pairs well with a data analytics path.
For most beginners, Microsoft AI-900 is the safest first choice: the free study materials are excellent, the exam is well-structured, and Microsoft's AI investments make the certification increasingly relevant.
What Comes After?
Once you've passed an entry-level AI cert, consider advancing to applied AI skills: prompt engineering, working with language models, building AI-powered workflows, or pursuing the Generative AI learning path for more depth.
Explore the full ROSE Tech Academy AI Learning Path for a structured progression.