Learning path · Industry Certifications · 91
Choosing Industry Certifications
Pick a credential by the job you want—using AI, building LLM systems, or leading adoption—not by whichever exam is trending this quarter.
Why it matters
- Certs signal cloud and role fit; they do not replace production evals or shipped work.
- Foundational exams suit PMs and HR leaders; associate exams suit builders.
- Vendor lock-in is a feature: employers often hire for a stack.
Key ideas
- Role fit
- Vendor vs platform-neutral
- Skill over badge
Top resources
- 01DocsAWS
AWS Certified AI Practitioner
Why this resource. Foundational AWS AI/GenAI literacy—typical first badge if your shop is on AWS.
Covers in this concept
- practitioner
- cloud AI
- role fit
- 02DocsMicrosoft
Azure AI Engineer Associate
Why this resource. Builder-level Azure credential to contrast with practitioner/leader exams.
Covers in this concept
- associate
- Azure AI
- 03DocsGoogle Cloud
Generative AI Leader certification
Why this resource. Leader/literacy track when the job is sponsorship, not pipelines.
Covers in this concept
- leader
- Google Cloud
Industry certifications are a map, not a destination. Start from the work: if you specify use cases and buy software, a practitioner or leader exam is enough. If you design RAG, agents, and serving, choose an associate engineer credential on the cloud you already use. Read the official exam guide—domains, sample tasks, recertification window—before paying. Treat study as structured review of this learning path: models, retrieval, evaluation, and governance show up on every serious outline. Keep a portfolio of grounded demos alongside the badge; hiring managers ask what you shipped when the exam version expires.
Updated 2026-08-21 · Full learning path