Google Cloud Professional Machine Learning Engineer
Professional ML credential for building, productionizing and monitoring machine-learning and generative-AI solutions.
Credential details link to Google Cloud, the issuing organization. SkillChirp is not the issuer and does not claim that earning a credential guarantees employment.
Pair the credential with inspectable work.
The credential can signal knowledge. These projects are mapped because they exercise related skills and create artifacts you can deploy, document and discuss.
RAG Evaluation Workbench
Build retrieval-augmented generation with repeatable quality evaluation instead of stopping at chat.
Prompt Regression Test Suite
Create versioned prompts, test cases and automated quality/cost regression checks.
AI Agent Operations Console
Build a tool-using agent with permissions, traces, retries and explicit human approval points.
Where this credential fits.
Role mappings are SkillChirp navigation guidance, not a claim that every employer requires this credential.
AI Engineer
Move beyond a chat wrapper and prove evaluation discipline.
Data Analyst / Engineer
Turn raw data into decisions and reproducible systems.
Cloud / AWS Engineer
Prove you can connect cloud services into reliable systems.
Does the job actually ask for it?
Paste the job description. SkillChirp keeps employer-mentioned credentials separate from project skill coverage, then recommends projects for the technical proof you still need.