You’ll receive an official Microsoft AI-300 exam voucher code that you can redeem to schedule the Microsoft “Operationalizing Machine Learning and Generative AI Solutions (MLOps Engineer)” exam (AI-300). This voucher is sold by ITExamDeals as a genuine vendor exam credit and is redeemed in the vendor scheduling flow (Microsoft/Pearson VUE) when you’re ready to book.
What this exam voucher includes
- 1 official Microsoft AI-300 exam voucher code (vendor exam credit)
- Redemption instructions for booking the exam in the Microsoft or Pearson VUE scheduling portal
- Support to help you complete voucher redemption after payment is confirmed
- Country/region note for Singapore delivery and booking
- Chat confirmation of the voucher details tied to your order reference
Exam voucher price and what affects it
This ITExamDeals voucher is discounted from the regular price of $165 USD to a selling price of $39 USD.
Voucher pricing commonly depends on:
- Vendor pricing and regional availability (Singapore)
- Current promotional discounts offered through reseller inventory
- Currency/market factors applied by the vendor at redemption
- Voucher quantity and supply at the time of purchase
If you’re comparing value, focus on the exam code (AI-300) and the exact certification track you’re targeting (MLOps Engineer / Operationalizing ML and GenAI solutions).
Validity, expiry and rescheduling
Voucher validity and expiration are vendor-controlled. Once issued, the voucher code can expire according to Microsoft/Pearson VUE rules for your country/region.
Rescheduling rules are also vendor-controlled and depend on the test center availability and the scheduling policy in the Microsoft/Pearson VUE booking system.
Practical takeaway: book your preferred date as soon as you can after receiving the code, then adjust within the vendor’s rescheduling window.
How delivery and redemption work
- After payment is confirmed, we deliver your voucher via WhatsApp or Telegram.
- You receive the official AI-300 voucher code and order reference in chat.
- You then redeem the code in the Microsoft or Pearson VUE scheduling portal to create/schedule your exam booking.
- Your final exam appointment (date/time) is confirmed inside the vendor scheduling system.
Because redemption occurs in the vendor portal, you should always use your own Microsoft/Pearson VUE account details and follow the on-screen booking steps after voucher redemption.
Exam format at a glance
Microsoft AI-300 is delivered as an online or test-center exam depending on your regional availability. Exact specifics can vary by booking option and region.
| Exam code | Questions | Duration | Passing score | Languages | Delivery options |
|---|---|---|---|---|---|
| AI-300 | check the vendor page | check the vendor page | check the vendor page | check the vendor page | check the vendor page |
Exam delivery is administered through the Microsoft/Pearson VUE exam system.
Domains and weighting: The vendor publishes the domain outline; official percentages are listed in the current exam guide. For this page, treat weighting as check the vendor page if you need exact figures.
- Designing and implementing MLOps pipelines — check the vendor page
- Deploying and operationalizing machine learning and generative AI solutions — check the vendor page
- Monitoring, reliability, and lifecycle management — check the vendor page
- Governance, security, and responsible operations in AI workflows — check the vendor page
Prerequisites: No universal requirement is published for AI-300 as a single checkbox, but you should be comfortable with:
- Building and deploying ML services on Azure
- Using CI/CD patterns for ML/GenAI
- Monitoring operational metrics and handling model/version lifecycles
Realistic study time: many candidates plan 6–10 weeks depending on prior MLOps and Azure experience (2–3 hours/week as a baseline). If you already have hands-on MLOps on Azure, the timeframe can be shorter.
Career value and job roles
Microsoft AI-300 is built for the MLOps Engineer role: operationalizing ML and generative AI in production with repeatable pipelines, deployments, monitoring, and lifecycle governance.
Target job roles include:
- MLOps Engineer / ML Operations Engineer (mid-level, hands-on)
- AI Engineer focused on deployment and operations (mid to senior)
- Cloud engineer transitioning into ML/GenAI platform engineering
You should bring practical skills in ML deployment workflows, Azure services integration, and operational reliability concepts. This exam supports teams that ship ML and GenAI solutions with production-grade reliability.
Prepare before you book
Start by confirming the latest AI-300 objectives and match your study plan to the domain outline.
We recommend using our free practice hub before you book:
- Start with free mock exams to identify gaps early.
- Passing a mock exam unlocks extra voucher discounts.
Use the mock exam results to focus your last week of prep on weak areas—especially deployment, pipeline reliability, and monitoring/governance scenarios.
Common mistakes to avoid
- Booking before you confirm redemption steps: make sure you can redeem the code in your Microsoft/Pearson VUE scheduling flow.
- Studying only theory: AI-300 emphasizes operationalizing solutions; practice pipeline and deployment patterns.
- Ignoring lifecycle details: versioning, updates, monitoring, and operational governance are core to MLOps.
- Waiting too long to schedule: vouchers can expire; plan your booking timeline right after delivery.
- Overlooking the current exam guide: Microsoft can update domain outlines—use the latest objectives for your study plan.