AI-300 · Operationalizing Machine Learning and Generative AI Solutions
Each publication has a different job. Start with the guide that matches what you need now, or use them in sequence for the most complete JITA learning experience.
Build working judgment for MLOps and generative AI production operations.
This Field Guide develops a working mental model of MLOps and generative AI production operations. You will connect manage workspaces, projects, experiments, models, environments, and deployment assets, use MLflow and lifecycle evidence to compare experiments and model performance, design CI/CD and infrastructure automation for repeatable AI releases, and choose deployment, scaling, endpoint, and throughput approaches for production workloads. You are not just memorizing feature names; you are learning what owns the requirement, what can fail, and how to verify the outcome.
- model-quality issue vs deployment/runtime issue
- experiment tracking vs production monitoring
- successful deployment vs safe, observable, supportable operation
Prove your AI-300 judgment across MLOps and generative AI production operations under exam-style conditions.
This Exam Preparation Guide tests whether your understanding of MLOps and generative AI production operations survives realistic decision pressure. You will practice separating model-quality issue vs deployment/runtime issue, experiment tracking vs production monitoring, and successful deployment vs safe, observable, supportable operation. Each scenario is designed to make you identify the governing fact, reject the nearest plausible alternative, and explain the evidence that keeps the correct answer correct.
- model-quality issue vs deployment/runtime issue
- experiment tracking vs production monitoring
- successful deployment vs safe, observable, supportable operation
Understand it first. Then prove you can apply it.
The Field Guide builds the understanding. Use it when you need the architecture, mechanics, dependencies, tradeoffs, failure paths, and verification logic behind the certification.
The Exam Preparation Guide tests the judgment. Use it when you need to practice under exam-style conditions, distinguish close answers, and understand why the correct answer survives changed facts.
Recommended sequence: Field Guide → Exam Preparation Guide → return to the Field Guide for targeted remediation where needed.