Microsoft AI-300 exam vouchers are redeemed to schedule the official “Operationalizing Machine Learning and Generative AI Solutions (MLOps Engineer)” assessment. ITExamDeals sells genuine vendor exam credits at a discounted price for eligible buyers in Iran.
What this exam voucher includes
- One official Microsoft AI-300 exam voucher code (vendor exam credit)
- Redemption instructions for booking in the Microsoft/Pearson VUE scheduling portal
- Order reference support so your voucher can be matched to your purchase
- Clear guidance on how to reschedule within the vendor’s allowed window
- Delivery via WhatsApp or Telegram after payment confirmation
Exam voucher price and what affects it
Your current pricing for this Microsoft AI-300 voucher:
| Item | Price (USD) |
|---|---|
| Regular price | $165 |
| ITExamDeals discounted price | $39 |
The final price can be influenced by voucher supply, regional availability, and current reseller promotions. Vouchers are official exam credits issued for Microsoft AI-300 and redeemed through the vendor booking system.
Validity, expiry and rescheduling
Voucher validity is controlled by the vendor and is tied to the voucher code you receive. You must redeem and book within the vendor’s stated expiry rules. If you need to change your test date, rescheduling is subject to the scheduling portal’s policies and the allowed reschedule window.
How delivery and redemption work
- Choose the country/region you are booking from (Iran for this listing).
- Send your order reference to ITExamDeals via WhatsApp or Telegram.
- Confirm the final voucher price in chat.
- Pay for the voucher.
- Receive the voucher code on WhatsApp/Telegram, then redeem it in the Microsoft/Pearson VUE scheduling portal to select your exam date.
Exam format at a glance
The Microsoft AI-300 exam measures your ability to operationalize machine learning and generative AI solutions using MLOps practices.
| 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 |
Exam format details (question count, duration, passing score, and supported languages) can change, so confirm the latest specifics on the official vendor exam page before booking.
Domains (weighted): Vendor weighting can vary by version. Use the latest official domain percentages from the Microsoft AI-300 exam outline; if you want a quick checklist, plan around: productionizing ML/GenAI pipelines, deployment and operational management, monitoring/evaluation, and automation/versioning of MLOps workflows (check the vendor page for exact percentages).
Prerequisites: Microsoft does not always require a single mandatory prerequisite, but you should be comfortable with cloud ML concepts, Python/ML workflow fundamentals, and deploying/operating AI services.
Recertification cycle: Microsoft certification policies depend on the specific credential rules in effect when you pass; review the Microsoft certification and exam requirements for the current renewal cycle.
Realistic study time: Most candidates need ~6–12 weeks depending on prior ML/MLOps experience.
Career value and job roles
This Microsoft AI-300 voucher is designed for professionals who implement and operate machine learning and generative AI solutions in production. It aligns with roles such as:
- MLOps Engineer / Machine Learning Operations Engineer (hands-on deployment, monitoring, CI/CD for ML)
- Azure AI Engineer / Applied AI Engineer (operationalizing AI workloads)
- Software Engineer focusing on ML platforms (production ML services, evaluation, observability)
If you work with CI/CD pipelines, model/version management, inference deployment, and monitoring, this exam helps validate your production MLOps skill set.
Prepare before you book
Use a structured plan before you redeem and schedule. Start with our free practice hub: free mock exams. Taking and passing a mock exam helps you identify weak areas early, and it can unlock extra voucher discounts for eligible candidates.
Common mistakes to avoid
- Booking before you confirm format details: Question count, duration, and language options should be verified on the vendor page.
- Studying only models, not operations: AI-300 targets operationalization—pipelines, deployment, monitoring, and evaluation.
- Skipping hands-on practice: Use lab-style work to replicate real MLOps tasks rather than only reading theory.
- Ignoring vendor rescheduling rules: Reschedule only within the window allowed by the scheduling portal.
- Assuming retakes are instant: Plan additional time for remediation and new scheduling if needed.