Microsoft AI-300 is the official exam for Operationalizing Machine Learning and Generative AI Solutions (MLOps Engineer). With this voucher, you receive a genuine exam credit you redeem to schedule your test in the vendor scheduling system.
What this exam voucher includes
- An official Microsoft AI-300 exam voucher code (exam credit) redeemed to book your assessment date.
- Voucher delivery by ITExamDeals after payment is confirmed.
- Country-specific eligibility for Uzbekistan (voucher redeemability depends on the vendor’s rules).
- Exam scheduling instructions tailored to voucher redemption (portal-based scheduling).
- Support for redemption questions in chat (how to apply the code, where to book, and what to expect).
Exam voucher price and what affects it
Your voucher price is discounted by ITExamDeals from the regular price.
| Item | Price (USD) | Notes |
|---|---|---|
| Regular price | 165 | Reference context provided |
| ITExamDeals selling price | 39 | Your discounted voucher price |
Voucher pricing can vary due to vendor availability, country rules, and current reseller pricing strategies. The vendor may also apply local scheduling and tax handling rules at checkout.
Validity, expiry and rescheduling
The vendor controls voucher expiry. The code’s effective validity window (start/end) is defined by Microsoft/Pearson VUE terms at the time of redemption, not by ITExamDeals.
Rescheduling is also vendor-controlled. After you book, you can usually reschedule within the vendor’s allowed change windows, subject to fees or limits set by the testing provider. If you miss a booked appointment, the vendor may mark the attempt as used and you may lose rescheduling options.
If your voucher is close to expiry, redeem it as soon as possible, then book your exam date promptly to reduce scheduling risk.
How delivery and redemption work
- Place your order for the Microsoft AI-300 voucher for Uzbekistan.
- After payment is confirmed, ITExamDeals delivers the voucher code via WhatsApp or Telegram.
- Redeem the code inside the vendor’s exam scheduling portal to obtain your booking confirmation.
- Select your preferred exam date, language option, and test location/online availability based on what the vendor shows.
- Keep your booking confirmation details for check-in and any rescheduling steps.
Exam format at a glance
Microsoft AI-300 focuses on Operationalizing Machine Learning and Generative AI Solutions for MLOps workflows.
| Exam code | Questions | Duration | Passing score | Languages | Delivery options |
|---|---|---|---|---|---|
| AI-300 | check the vendor page | check the vendor page | check the vendor page | check the vendor page | check the vendor page |
This exam is designed for practical MLOps engineering skills—how to turn ML and GenAI prototypes into reliable, governed, and monitored production systems.
Common exam elements include:
- Scenario-based multiple-choice and/or case/simulation-style questions.
- Decisions about deployment, CI/CD for ML/GenAI, model lifecycle management, and evaluation.
- Governance, responsible AI practices, monitoring, and operational reliability.
Weighted domains (percentages)
Domain weighting may change by version. Use the vendor outline as your source of truth.
- check the vendor page
Career value and job roles
This AI-300 voucher is a strong fit for MLOps Engineers and Azure AI/ML engineers who operationalize ML and Generative AI solutions.
Typical roles include:
- MLOps Engineer (mid-level): builds CI/CD for models, sets up deployment pipelines, and manages monitoring.
- Azure AI Engineer (mid to senior): helps teams productionize GenAI apps with evaluation, safety, and governance.
- ML Platform Engineer / Data Science Engineer moving to production: focuses on operational patterns, retraining strategies, and performance/quality tracking.
If you’re working with Azure AI services, model registries, pipelines, and production monitoring, AI-300 validates your ability to run ML/GenAI workloads reliably.
Prepare before you book
Before you redeem and lock an exam date, prepare with a focused plan.
Start with our free practice resources: free mock exams. These practice tests help you identify weak areas across MLOps and GenAI operational topics. Passing a mock exam unlocks extra voucher discounts, making your path from preparation to booking more cost-effective.
For best results:
- Review the official exam skills outline from the vendor.
- Practice with real-world MLOps scenarios: deployment patterns, monitoring, evaluation, and governance.
- Plan a timeline so you can book while you still have time to reschedule if needed.
Common mistakes to avoid
- Waiting too long to redeem: voucher expiry is vendor-controlled; redeem promptly to avoid losing scheduling access.
- Only studying theory: focus on scenario decisions (CI/CD, deployment, monitoring, evaluation, and governance).
- Skipping GenAI operational details: don’t treat GenAI as “just prompts”—study evaluation, safety, and lifecycle management.
- No structured revision: build a checklist of skills and revisit areas that your mocks show as weak.
- Booking without a plan to reschedule: know the vendor’s change windows to avoid losing the attempt.
- Forgetting prerequisites: ensure you have practical experience with ML/GenAI engineering on Azure before attempting the exam.