Microsoft AI-300 is the exam for Operationalizing Machine Learning and Generative AI Solutions (MLOps Engineer). This official exam voucher provides genuine vendor exam credit so you can schedule and take the AI-300 assessment through the vendor scheduling flow.
What this exam voucher includes
- A genuine Microsoft exam voucher/credit for AI-300
- Redemption instructions for the scheduling portal steps
- Your voucher code details sent after payment confirmation
- Country-specific booking guidance for Botswana
- Support in chat if you hit scheduling issues (no pass guarantees)
- Voucher usage timeline notes (based on vendor-controlled expiry)
Exam voucher price and what affects it
This voucher is discounted by ITExamDeals from the regular price.
| Pricing item | Amount |
|---|---|
| Regular price | $165 |
| ITExamDeals selling price | $39 |
Pricing can vary based on Microsoft program changes, regional availability, vendor processing, and timing of voucher issuance. The voucher you receive is an official exam credit that you redeem to book your AI-300 exam date.
Validity, expiry and rescheduling
Your Microsoft exam voucher has a vendor-controlled expiry window. Exact validity dates are provided with your voucher details and are governed by Microsoft/Pearson VUE rules in the scheduling portal.
Rescheduling is also controlled by the exam provider. If you need to change your date after booking, use the reschedule option in the portal within the allowed rescheduling window. If you miss the booking rules, you may forfeit the appointment under vendor policy.
If Microsoft retires or replaces the AI-300 exam, voucher redemption and scheduling may be affected. Always confirm the current availability when you redeem.
How delivery and redemption work
- Choose Botswana as your country in your purchase request.
- After you send the order reference, we deliver via WhatsApp or Telegram after payment is confirmed.
- You receive the voucher/credit details and redemption steps in chat.
- Redeem the code/credit in the Microsoft or Pearson VUE scheduling flow shown during redemption.
- After redemption, schedule your exam date and take the AI-300 assessment per the booked appointment.
Exam format at a glance
- Exam code: AI-300
- Exam name: Operationalizing Machine Learning and Generative AI Solutions (MLOps Engineer)
- Question types: multiple-choice and case/scenario-based questions
- Duration: check the vendor page
- Passing score: check the vendor page
- Languages: check the vendor page
| Item | Details |
|---|---|
| Exam code | AI-300 |
| Questions | check the vendor page |
| Duration | check the vendor page |
| Passing score | check the vendor page |
| Languages | check the vendor page |
| Delivery options | WhatsApp / Telegram |
Prerequisites: Microsoft role exams typically do not require a formal prerequisite certification, but you should be ready for hands-on MLOps concepts, model lifecycle management, and production deployment practices.
Recertification / renewal: Microsoft exam credits/vouchers do not “renew” certifications automatically. If your certification track requires renewal, follow Microsoft’s latest certification lifecycle rules. For exam availability and replacement timing, check the current vendor listing.
Realistic study time: most candidates spend 6–12 weeks depending on background in machine learning operations, CI/CD, data/feature pipelines, monitoring, and governance.
Career value and job roles
AI-300 maps to work as an MLOps Engineer and supports roles such as Machine Learning Operations (MLOps) Engineer and ML/GenAI Platform Engineer. It’s especially relevant if you build or operate production ML systems—deploying models, managing pipelines, monitoring quality and drift, and applying governance.
You should already be comfortable with cloud-based ML workflows, model versioning concepts, and operational practices for automated training and serving.
Prepare before you book
Use the official style of questions to validate your readiness before scheduling.
- Start with our practice hub: free mock exams
- If you can pass a mock exam, you unlock extra voucher discounts (when available) to help you move faster.
Build a study plan around each AI-300 domain, then do timed practice. When you consistently score well in mocks, book your AI-300 exam date.
Common mistakes to avoid
- Waiting to schedule until the last minute and then losing time on rescheduling windows.
- Studying only model training and ignoring production: monitoring, data drift, security, and operations.
- Treating MLOps as purely DevOps—focusing on pipelines but skipping ML lifecycle management.
- Skipping scenario practice; AI-300 questions often test applied decision-making.
- Not checking the latest AI-300 exam page for current question count, duration, and language options.