Microsoft’s AI-300 exam voucher lets you purchase genuine exam credit for “Operationalizing Machine Learning and Generative AI Solutions (MLOps Engineer)”. After you redeem the code in the official scheduling portal, you can select an exam slot and take the test under vendor rules.
What this exam voucher includes
- A single-use official exam voucher/code for Microsoft AI-300 (Operationalizing Machine Learning and Generative AI Solutions)
- Redemption instructions for the Microsoft/Pearson VUE scheduling portal
- Voucher purchase support via WhatsApp or Telegram
- Country-specific guidance for booking in Vietnam
- Confirmation details sent after payment is verified
Exam voucher price and what affects it
Your voucher is discounted by ITExamDeals to make AI-300 more accessible. In your pricing context:
| Item | Amount |
|---|---|
| Regular price | $165 |
| Selling price (ITExamDeals) | $39 |
Final pricing can be influenced by the exam currency, region/country availability, and the current reseller promotion. The vendor’s redemption and scheduling process remains the same after purchase.
Validity, expiry and rescheduling
Voucher validity is controlled by the exam vendor (Microsoft/Pearson VUE). Your voucher/code has an expiry window and booking rules determined by the vendor system.
If you need to change your exam date/time, rescheduling is handled through the official scheduling portal according to Microsoft/Pearson VUE policy and the rescheduling windows they allow. Rescheduling terms can vary based on how close you are to your booked appointment.
Important: once a voucher code is issued and you redeem it (or the code is delivered for redemption), the voucher is generally treated as non-refundable by the vendor and by the reseller terms described below.
How delivery and redemption work
Delivery happens after payment is confirmed.
- You place the order for the AI-300 voucher for Vietnam.
- ITExamDeals delivers the voucher code over WhatsApp or Telegram (using the order reference you provide).
- You redeem the voucher credit in the official Microsoft/Pearson VUE scheduling portal.
- You book your exam appointment date and time in Vietnam based on available slots.
If you run into booking issues, share the order reference in chat so we can help you verify the code delivery details and the correct steps for scheduling.
Exam format at a glance
AI-300 is a performance-focused assessment for MLOps engineers working on operationalizing machine learning and generative AI solutions.
| Exam code | Typical question count | Duration | Passing score | Languages | Delivery options |
|---|---|---|---|---|---|
| AI-300 | check the vendor page | check the vendor page | check the vendor page | check the vendor page | Pearson VUE (online/in-center options may vary by country) |
What to expect during the exam:
- The test covers operationalizing ML workflows and generative AI solutions with an emphasis on deployment, monitoring, and lifecycle management.
- Question types often include multiple-choice and scenario-based questions (confirm exact item types on the vendor page for your test session).
- You must schedule through Microsoft/Pearson VUE using the voucher credit.
Prerequisites:
- No universal “mandatory” prerequisites are required to register for AI-300, but the vendor expects hands-on familiarity with MLOps concepts and practical implementation.
Recertification cycle:
- Microsoft certification renewal and expiration rules can change. Plan to review the latest Microsoft certification lifecycle information for your specific credential.
Realistic study time:
- Many candidates need about 6–12 weeks of focused preparation depending on prior ML/GenAI and cloud operations experience.
Career value and job roles
The AI-300 focus aligns with roles that build and run production-grade ML and GenAI capabilities. Common job titles include:
- MLOps Engineer (core target)
- Cloud AI Engineer
- Machine Learning Engineer (with a production/operations emphasis)
- AI Platform Engineer
Skill areas typically supported by this exam include designing repeatable pipelines, deploying models and generative AI solutions, implementing monitoring/telemetry, managing drift and operational risk, and applying responsible operational practices.
If your goal is to move from experimentation into production delivery—especially on cloud platforms—AI-300 helps validate your readiness for end-to-end MLOps responsibilities.
Prepare before you book
Use official-style practice to reduce surprises in question wording and scenario complexity.
Start here: free mock exams. Taking mock exams helps you identify weak areas early. Passing a mock exam also unlocks extra voucher discounts, which can lower the overall cost of preparing for AI-300.
Before you redeem and schedule:
- Confirm your target exam date availability in Vietnam.
- Review the vendor exam page for latest format details (question count, time limits, and language options).
- Plan your study around the domain topics so you’re not only memorizing terms.
Common mistakes to avoid
- Waiting too long to schedule: leave buffer time so you can reschedule if you need to.
- Studying only models/frameworks: AI-300 emphasizes operationalization—pipelines, deployment patterns, monitoring, and lifecycle management.
- Ignoring monitoring/maintenance: many candidates focus on training and forget drift detection, logging, and operational feedback loops.
- Under-preparing for scenario questions: read each question as a mini project—identify which operational action is correct.
- Using non-official materials: avoid exam dumps or unofficial “real questions”. Use practice exams and Microsoft-aligned learning resources instead.
- Not checking vendor rules: validity, rescheduling windows, and delivery expectations are governed by the vendor systems.