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🧠 Data & AI Associate Level

AI-300
MLOps Engineer

Microsoft Certified: Machine Learning Operations Engineer Associate

AI-300 is the cert that replaces DP-100 and moves the bar from building models to operationalizing them — the discipline every serious AI team is now hiring for. It validates that you can stand up secure, scalable MLOps and GenAIOps infrastructure on Azure: automating provisioning with Bicep, Azure CLI, and GitHub Actions; orchestrating training, registration, and versioning in Azure Machine Learning; and deploying, evaluating, and monitoring generative AI systems in Microsoft Foundry. This is where IaC, CI/CD, drift detection, observability, RAG optimization, and cost control all come together. Partners pursuing the Solutions Partner for Data & AI designation need engineers who can take AI from a notebook to dependable production — and those engineers are scarce and valuable. With the $8,000/year partner incentive tied to this designation, an AI-300 holder is the operational backbone that keeps your AI investments running, safe, and profitable.

📝 320 Questions
📅 10 Day Plan
⏱️ ~40 hrs
📊 7 Exam Domains
🏢 Microsoft partners actively recruit AI-300 certified professionals
Cert at a Glance
Exam CodeAI-300
LevelAssociate
Solution AreaData & AI
Questions320
Study Days10
Employer Value$8,000/yr
In Demand ByMicrosoft Partners
Price$29/month
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10-Day Accelerator

Your AI-300 Study Plan

320 questions organized across 10 focused study days. Each day targets a specific exam domain with detailed explanations.

Day 1
MLOps Infrastructure - Workspaces, Assets, IaC
32 questions
Day 2
ML Lifecycle - Training Orchestration & MLflow Tracking
32 questions
Day 3
ML Lifecycle - Registration, Deployment & Monitoring
32 questions
Day 4
GenAIOps Infrastructure - Foundry Environments & Model Deployment
32 questions
Day 5
⚡ Mid-Point Assessment
32 questions
Day 6
GenAIOps Infrastructure - Prompt Versioning & Source Control
32 questions
Day 7
GenAI Quality & Observability - Evaluation, Metrics, Tracing
32 questions
Day 8
Optimization - RAG Tuning & Advanced Fine-Tuning
32 questions
Day 9
📋 Practice Exam #1
32 questions
Day 10
🎯 Final Review — — Weak Areas
32 questions

Exam Domains & Weighting

AI-300 covers 7 functional areas. Study time is weighted by topic importance to help you focus where it matters most.

17%
MLOps Infrastructure
Workspaces, Assets, IaC with Bicep & GitHub
14%
ML Lifecycle
Training Orchestration & MLflow Tracking
14%
ML Lifecycle
Registration, Deployment & Production Monitoring
13%
GenAIOps Infrastructure
Foundry Environments & Model Deployment
12%
GenAIOps Infrastructure
Prompt Versioning & Source Control
15%
GenAI Quality & Observability
Evaluation, Metrics, Tracing
15%
Optimization
RAG Tuning & Advanced Fine-Tuning

Ready to pass AI-300?

320 questions. 10 days. Detailed explanations. $29/month.

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