Microsoft AI-300 is the exam you take to validate real-world skills for operationalizing machine learning and generative AI solutions. With this official exam voucher, you redeem a vendor-issued exam credit in the Microsoft/Pearson VUE scheduling flow to book your Microsoft AI-300 exam date.
What this exam voucher includes
- A genuine, vendor-issued Microsoft AI-300 exam voucher code (exam credit)
- Redemption instructions for booking through the Microsoft or Pearson VUE scheduling portal
- Country/region guidance for Nepal scheduling
- Support to help you redeem the code and complete your booking in the vendor scheduler
- A WhatsApp/Telegram delivery of your voucher after payment confirmation
- No practice exam content is included (use the preparation hub below)
Exam voucher price and what affects it
This Microsoft AI-300 voucher is discounted by ITExamDeals. Your pricing context is: regular price $165, selling price $39 (USD).
Voucher prices can vary based on vendor promotions, reseller availability, and the exam delivery pipeline used by the scheduling portal. Your final redemption experience still depends on the Microsoft/Pearson VUE scheduling system and any applicable regional availability for Nepal.
| Item | Value |
|---|---|
| Vendor | Microsoft |
| Exam code | Microsoft AI-300 |
| Regular price (given) | $165 |
| Selling price (given) | $39 |
Validity, expiry and rescheduling
After redemption, the scheduling portal will enforce the voucher validity/expiration rules set by Microsoft. If your voucher expires before you complete booking, you may need a new voucher.
Rescheduling is allowed based on vendor rules. If you need to change your appointment, do it inside the rescheduling window supported by the Microsoft/Pearson VUE system for your exam.
How delivery and redemption work
- Pay for the voucher after you place your order with ITExamDeals.
- After payment is confirmed, we deliver the voucher code to you over WhatsApp or Telegram.
- Redeem the code in the Microsoft or Pearson VUE scheduling portal.
- Select your exam date/time based on what the scheduler shows for Nepal.
- After booking, follow any confirmation and check-in instructions provided by the scheduling portal.
Exam format at a glance
Microsoft AI-300 is designed to test MLOps capabilities for production-grade machine learning and generative AI. The exact number of questions, passing score, and some scheduling-specific details can vary by delivery; confirm what your scheduling portal displays.
| Exam code | Questions | Duration | Passing score | Languages | Delivery options |
|---|---|---|---|---|---|
| Microsoft AI-300 | check the vendor page | check the vendor page | check the vendor page | check the vendor page | English (check the vendor page) |
Question types typically include scenario-based questions where you choose the best operational approach for model lifecycle, deployment, monitoring, and governance. The exam focuses on applied MLOps work rather than memorization.
Career value and job roles
This Microsoft AI-300 exam aligns to MLOps Engineer responsibilities such as:
- Operationalizing machine learning pipelines end-to-end (training to deployment)
- Deploying and managing generative AI solutions in production
- Implementing monitoring, versioning, and reliability practices
- Collaborating with data scientists and platform engineers to ship governed AI workloads
It’s a strong next step for practicing MLOps Engineers and Azure-focused ML practitioners, including mid-level engineers preparing to take on production AI operations. If you already work with model deployment, CI/CD concepts, and orchestration patterns, you’ll map well to the target skills.
Realistic study time varies, but most candidates benefit from 6–10 weeks of focused preparation (or equivalent hands-on practice), depending on how familiar you are with MLOps workflows and Azure-oriented AI operations.
Prepare before you book
Use our preparation hub to reduce booking-time risk: start with free mock exams. Passing a mock exam unlocks extra voucher discounts, helping you plan and improve efficiently.
In addition to the mocks, review the exam objectives, build confidence with end-to-end MLOps workflows, and simulate real deployment and monitoring scenarios. If you score consistently in the mock environment, you’ll be more ready to schedule confidently.
Common mistakes to avoid
- Waiting to study until after you receive the voucher; schedule your exam only when you’re consistently passing practice
- Focusing only on model training and ignoring operational topics (monitoring, reliability, governance)
- Memorizing terms instead of practicing end-to-end workflows that match MLOps scenarios
- Not checking the scheduling portal for Nepal availability, supported delivery method, and any system requirements
- Forgetting to plan for rescheduling windows before your appointment date