Microsoft AI-300 is the exam you take to demonstrate skills in operationalizing machine learning and generative AI solutions on Microsoft platforms. This official exam voucher from Microsoft (delivered by ITExamDeals) gives you exam credit you redeem in the Microsoft/Pearson VUE scheduling portal to select your exam date.
What this exam voucher includes
- Official Microsoft exam voucher code for AI-300
- Instructions to redeem the voucher in the vendor scheduling portal (Pearson VUE)
- Voucher delivery via WhatsApp or Telegram after payment confirmation
- Support in chat on how to book the exam date after redemption
- Country-specific purchasing help for Malawi candidates
- A record of your order reference to help you manage voucher delivery
Exam voucher price and what affects it
You’re purchasing a discounted official voucher for Microsoft AI-300.
- Regular price: $165
- Selling price: $38 (USD)
Voucher pricing can change based on vendor promotions, currency and regional factors, and the way the reseller sources and issues official exam credits. ITExamDeals lists the active selling price for this voucher at checkout; the voucher you receive is an authentic vendor exam credit that you redeem yourself.
| Item | Value |
|---|---|
| Exam | Microsoft AI-300 |
| Certification track | Azure AI Engineer Associate |
| Regular price (context provided) | $165 USD |
| Selling price (context provided) | $38 USD |
Validity, expiry and rescheduling
Voucher validity is controlled by the vendor and is subject to the current Microsoft policy for AI exams. Your voucher code typically has an expiration window, and rescheduling is governed by the scheduling rules inside the Pearson VUE flow you use to book.
Important points:
- Expiry is vendor-controlled (check the code/terms when issued).
- Reschedule windows are set by the vendor/Pearson VUE after you book.
- Once the voucher code is issued to you, you must redeem it according to the vendor’s timing rules.
If you need flexibility, book once you’re ready, then reschedule only within the allowed windows shown in your Pearson VUE account.
How delivery and redemption work
Delivery happens after payment is confirmed.
- You place the order with ITExamDeals for the Microsoft AI-300 voucher for Malawi.
- After payment confirmation, we deliver the voucher code via WhatsApp or Telegram.
- You redeem the code in the Microsoft/Pearson VUE scheduling portal to create/select your exam booking.
- You choose an available time slot and complete any required confirmation steps in the booking flow.
You’re responsible for booking the exam date in your scheduling account using the voucher credit. ITExamDeals provides the voucher credit; Microsoft/Pearson VUE provide the exam scheduling interface and rules.
Exam format at a glance
Microsoft AI-300 focuses on practical operationalization of machine learning and generative AI solutions, including deployment and responsible operations.
Because some exam parameters can vary by delivery version, confirm the final details in the Pearson VUE/Microsoft booking screen. Where a value can’t be guaranteed here, it’s marked as check the vendor page.
| Exam code | Questions | Duration | Passing score | Languages | Delivery |
|---|---|---|---|---|---|
| AI-300 | check the vendor page | check the vendor page | check the vendor page | English (varies by location) | Pearson VUE (online/proctored availability varies) |
What to expect
- Scenario-based questions that test how you operationalize solutions end-to-end
- Tasks around designing, deploying, monitoring, and managing model behavior in production
- Understanding of evaluation, safety, and operational practices for generative AI systems
Exam domains (weighted)
Weights can be updated by Microsoft. Use the list below as a study map and verify the exact percentages in the official exam page.
- Design and implement machine learning solution operationalization — check the vendor page
- Operationalize and manage generative AI applications — check the vendor page
- Evaluate, monitor, and improve model/system performance — check the vendor page
- Governance, security, and responsible AI operational practices — check the vendor page
Prerequisites
No formal prerequisite is always required to attempt the exam, but you should have working familiarity with:
- Azure AI services and deployment concepts
- Machine learning and/or generative AI solution lifecycles
- Data preparation and model evaluation fundamentals
Recertification cycle and realistic study time
Certification/renewal rules follow Microsoft’s policy for role-based certifications.
- Plan for 4–10 weeks of study depending on your background.
- A realistic plan is 6–12 hours per week for most candidates.
- Renewal/recertification timelines are policy-based; check Microsoft’s latest certification requirements.
Career value and job roles
An AI-300 voucher supports your path toward Microsoft Certified: Azure AI Engineer Associate and signals competence in productionizing ML and generative AI solutions.
Common roles that align with this exam include:
- Azure AI Engineer (mid-level)
- Machine Learning Engineer working with operational pipelines
- AI Engineer / Applied AI Specialist supporting production deployments
Typical skills you validate:
- Turning model prototypes into reliable services
- Monitoring quality, latency, and system behavior over time
- Building generative AI experiences with responsible operational controls
Prepare before you book
Start with a focused study plan and verify your weak areas before you spend time booking a slot.
Use our free practice hub here: free mock exams. Practicing with mock exams helps you measure readiness, build exam confidence, and reduce last-minute risk.
Passing a mock exam unlocks extra voucher discounts on qualifying promotions through ITExamDeals—so it’s also a value opportunity, not just test practice.
Common mistakes to avoid
- Only learning theory: operationalization requires practical thinking—deployment, monitoring, evaluation, and iteration.
- Ignoring governance and safety: generative AI expectations include safety and responsible operations.
- Skipping end-to-end scenarios: AI-300 is built around how solutions behave in production, not only model building.
- Waiting too long to book: you can reschedule, but time is still critical—plan your booking after you confirm readiness.
- Overlooking official exam details: always check the latest question count, duration, and delivery options in the vendor page.