Microsoft AI-300 is the exam for operationalizing machine learning and generative AI solutions, and this voucher provides official exam credit you redeem to book your test with Microsoft or Pearson VUE. ITExamDeals delivers the voucher code after payment confirmation via WhatsApp or Telegram.
What this exam voucher includes
- 1 official Microsoft exam voucher code for AI-300 (Operationalizing Machine Learning and Generative AI Solutions)
- Redemption instructions to use the code in the Microsoft/Pearson VUE scheduling portal
- Country-specific redemption support for Iran (as available for your voucher type)
- Help confirming your exam booking steps after you receive the code
- Your voucher is delivered through WhatsApp or Telegram after payment is confirmed
Exam voucher price and what affects it
This voucher is discounted by ITExamDeals versus the typical vendor list price.
| Pricing item | Amount |
|---|---|
| Regular price (context) | $165 USD |
| ITExamDeals selling price (context) | $38 USD |
What affects final voucher value:
- Vendor list price for AI-300 in the target region
- Current ITExamDeals discount (which may change)
- Country/region availability for voucher redemption
Note: This page states the provided context pricing ($165 regular, $38 selling) and does not include any third-party costs that may be required by the booking portal.
Validity, expiry and rescheduling
Voucher codes are subject to vendor-controlled validity/expiry. After you redeem the code and book, your appointment is managed by the Microsoft/Pearson VUE scheduling system. If you need to change dates, rescheduling is only allowed within the rescheduling windows and rules set by the vendor.
If your voucher expires before redemption, you may lose the value—check your code’s expiry once you receive it.
How delivery and redemption work
- Place your order with ITExamDeals for the Microsoft AI-300 voucher for Iran.
- After payment is confirmed, ITExamDeals sends the voucher code to you via WhatsApp or Telegram.
- Redeem the code in the Microsoft or Pearson VUE scheduling portal to create your appointment.
- Choose your test center/online proctoring option (where available in your region) and complete the booking.
Exam format at a glance
Below is what candidates typically expect for Microsoft AI-300. Exact figures can vary by proctoring mode and vendor updates—if you see a mismatch, follow the booking portal details.
| Field | Details |
|---|---|
| Exam code | AI-300 |
| Question count | check the vendor page |
| Duration | check the vendor page |
| Passing score | check the vendor page |
| Languages | check the vendor page |
| Delivery options | Pearson VUE online/proctored or test center (availability varies) |
What you’ll be tested on
Expect scenario-based questions that assess whether you can operationalize ML and generative AI systems end-to-end, including deployment, reliability, monitoring, and governance.
Weighted domains (percentages)
Domain weightings can change. Use these as a guide and verify exact percentages in the vendor exam guide:
- Operationalize machine learning solutions — check the vendor page (%s)
- Operationalize generative AI solutions — check the vendor page (%s)
- Implement monitoring, evaluation, and responsible AI practices — check the vendor page (%s)
Prerequisites
There are no universal “must-have” prerequisites listed for everyone, but this exam is most suitable if you already have practical experience with ML and genAI workflows and you understand deployment and operations concepts.
Recertification cycle
Recertification and exam retirement rules follow Microsoft’s current policies. Treat the exam as part of the Azure AI Engineer learning path and check the vendor documentation for any future changes.
Realistic study time
A common target is 4–8 weeks of focused preparation, depending on your hands-on experience with ML ops, evaluation, and deployment.
Career value and job roles
Passing Microsoft Certified: Azure AI Engineer — AI-300 signals capability to operationalize ML and generative AI solutions for production use. It aligns with roles such as:
- AI Engineer / ML Engineer (early-to-mid career): build, deploy, and maintain AI systems
- Senior AI Engineer / Staff ML Engineer: own reliability, monitoring, evaluation, and governance
- Cloud AI Solutions Engineer: integrate Azure AI services into secure, scalable applications
If you work with CI/CD, model lifecycle management, observability, and responsible AI controls, this exam supports your credibility for production AI engineering work.
Prepare before you book
Before you redeem and schedule, confirm your readiness with realistic practice.
Use our hub: free mock exams. Completing a practice/mock exam helps you identify weak areas early. Passing a mock exam can also unlock extra voucher discounts on qualifying offers.
Common mistakes to avoid
- Booking before verifying your code validity: confirm expiry right after you receive the voucher.
- Studying only theory: this exam is operational—plan for deployment, monitoring, and evaluation scenarios.
- Ignoring responsible AI and evaluation: genAI questions often assume you understand risk, safety, and measurement.
- Not checking language/test delivery: verify language and delivery options in the booking portal.
- Overlooking rescheduling rules: plan your exam date and check vendor rescheduling windows.