You are buying a genuine Microsoft exam voucher credit for the Microsoft AI-300 — Operationalizing Machine Learning and Generative AI Solutions (MLOps Engineer). After payment is confirmed, you receive the voucher details via WhatsApp or Telegram and you redeem it in the vendor scheduling portal to book your AI-300 exam date.
What this exam voucher includes
- 1× Microsoft AI-300 exam voucher (official exam credit for redeeming to schedule the test)
- Voucher redemption instructions for the Microsoft/Pearson VUE booking flow
- Exam booking support via chat (help confirming the code is applied correctly)
- Country/region eligibility confirmation for Italy
- Reschedule guidance in line with vendor rules (you still control the booking date)
- A clear reference for order tracking in your message
Exam voucher price and what affects it
The listed pricing context for this voucher is:
| Pricing | Amount |
|---|---|
| Regular price | $165 |
| ITExamDeals selling price | $39 |
What affects the final voucher price can include the current vendor availability, exam demand, and reseller discounting. This listing is specifically for an AI-300 voucher redeemed in Italy.
Validity, expiry and rescheduling
Microsoft sets the voucher credit rules. Your AI-300 voucher credit is valid only for the period defined by the vendor at the time of issuance, and it can expire if you do not schedule the exam in time. If you need to change the date, you must follow the rescheduling window and cutoffs shown by the vendor inside the scheduling portal after you redeem the credit.
If you want flexibility, plan to redeem and book as soon as possible after delivery—especially if you are targeting a specific testing week.
How delivery and redemption work
- Choose Italy in your order.
- Send your order reference to us on WhatsApp or Telegram.
- Confirm the $39 price in chat.
- Complete payment. We only deliver after payment is confirmed.
- Receive the voucher code/credit details and redeem it on the Microsoft/Pearson VUE scheduling portal to book your AI-300 exam date.
After redemption, you’ll see the appointment options and remaining scheduling rules directly in the vendor portal.
Exam format at a glance
The Microsoft AI-300 exam measures skills for operationalizing machine learning and generative AI solutions (MLOps). Exact figures such as question count and any passing score may vary by vendor updates—check the vendor page for the latest specifics.
| Item | AI-300 details |
|---|---|
| Exam code | AI-300 |
| Questions | check the vendor page |
| Duration | check the vendor page |
| Passing score | check the vendor page |
| Exam languages | check the vendor page |
| Delivery / booking | Microsoft/Pearson VUE scheduling |
Supported skills typically include deploying and monitoring ML/GenAI pipelines, managing model versions, and ensuring reliable operations. The exam is designed for candidates who can turn prototypes into production-ready MLOps workflows.
Prerequisites are not always enforced as formal course requirements, but you should have practical experience with Azure AI/ML tooling, deployment concepts, and ML/GenAI operational practices.
Recertification is governed by Microsoft policy for the associated certification path; check the certification page for the latest renewal cycle.
Career value and job roles
This AI-300 voucher helps candidates target roles such as:
- MLOps Engineer (mid-level to senior), responsible for productionizing training/inference pipelines
- ML Engineer / Applied Scientist (ops-focused), bridging experimentation and reliable operations
- Cloud AI Engineer, building Azure-based AI solutions with governance, monitoring, and lifecycle management
If your work involves model deployment, CI/CD for ML, monitoring/alerting, and operational controls for generative AI systems, AI-300 aligns directly with those outcomes.
Prepare before you book
Use the voucher only when you are ready to schedule. To build confidence before committing, practice with our resources: free mock exams. Completing a practice mock helps you identify weak areas so you can focus your study efficiently. Also, passing a mock exam unlocks extra voucher discounts.
Study by mapping your experience to the exam objectives, then run a mock under timed conditions.
Common mistakes to avoid
- Waiting too long to redeem: voucher credits can expire based on vendor rules.
- Studying only theory: AI-300 expects operational thinking (pipelines, monitoring, deployment patterns).
- Ignoring GenAI operations: many candidates focus only on classic ML and underprepare for generative AI operationalization.
- Not checking the vendor portal: languages, formats, and scheduling windows can change—confirm the latest details before booking.
- Overlooking model lifecycle tasks: versioning, repeatability, and controlled rollouts are key themes.