Microsoft AI-300 exam voucher credits help you book the official assessment for Operationalizing Machine Learning and Generative AI Solutions (MLOps Engineer). This voucher is redeemed through the vendor scheduling portal so you can select an exam date and testing location where available.
What this exam voucher includes
- An official Microsoft exam voucher code for AI-300 (MLOps Engineer)
- Redemption instructions for scheduling in the vendor portal
- Country/region eligibility for Montenegro (subject to Microsoft/Vendor availability)
- Support in chat to confirm your voucher order reference before redemption
- Delivery of your voucher code via WhatsApp or Telegram after payment confirmation
Exam voucher price and what affects it
This AI-300 voucher is listed with a regular price of $165 and an ITExamDeals selling price of $39 (USD). Voucher pricing can vary based on demand, vendor availability for your region, and the current reseller discount.
| Item | Your voucher details |
|---|---|
| Exam | Microsoft AI-300 |
| Certification/track | Operationalizing Machine Learning & Generative AI Solutions (MLOps Engineer) |
| Currency | USD |
| Regular price | $165 |
| Selling price | $39 |
| Country example | Montenegro |
Validity, expiry and rescheduling
Voucher credits are governed by Microsoft/Vendor rules. The voucher code will be valid for a time window set by the vendor, and that window may change based on your purchase and the vendor’s latest policy.
Rescheduling is typically allowed after booking but must follow the rescheduling windows and rules of the vendor and testing provider. If you need to change your exam date, do it through the vendor scheduling portal according to the rules shown at the time of booking.
How delivery and redemption work
- Choose Montenegro as your country when you place the order.
- Send your order reference to us on WhatsApp or Telegram.
- We confirm the exact voucher price in chat for your order.
- Complete payment.
- After payment is confirmed, we deliver the official voucher code via WhatsApp or Telegram.
- Redeem the code in the Microsoft or Pearson VUE scheduling portal to book your AI-300 exam date.
You do not receive exam “questions.” You receive voucher credit that you redeem to schedule the real proctored exam.
Exam format at a glance
The AI-300 assessment is designed to test hands-on operational skills for machine learning and generative AI in production-style workflows.
| Exam code | Questions | Duration | Passing score | Exam language(s) | Delivery options |
|---|---|---|---|---|---|
| AI-300 | check the vendor page | check the vendor page | check the vendor page | check the vendor page | check the vendor page |
Career value and job roles
The Microsoft AI-300 (MLOps Engineer) track is built for candidates who want to operationalize ML and generative AI solutions, not just train models. This aligns with job roles such as:
- MLOps Engineer (mid-level): deploying, monitoring, and improving ML systems across environments
- Machine Learning Engineer (senior or lead): productionizing pipelines, governance, and reliability for AI workloads
- Applied AI / GenAI Engineer: operationalizing LLM workflows, evaluation, and continuous improvement
Strong overlap exists with skills in CI/CD for ML, ML lifecycle management, model deployment, and operational monitoring. If you also work with Azure AI services and production-grade data pipelines, this exam is a direct fit.
Prepare before you book
Before you redeem and schedule, prepare using exam-focused practice. Start with our free practice hub: free mock exams. Taking a passing mock exam helps you unlock extra voucher discounts for eligible offers.
A strong preparation approach:
- Review MLOps concepts and production patterns (training-to-deployment workflows)
- Practice generative AI operational topics (evaluation, iteration, and quality controls)
- Build familiarity with the operational tooling and lifecycle steps tested by the exam
Common mistakes to avoid
- Waiting too long to schedule: voucher redemption and booking depend on availability in your region.
- Studying only model training: AI-300 focuses on operationalizing ML/GenAI in production workflows.
- Skipping end-to-end thinking: production requirements include monitoring, iteration, and operational controls.
- Not aligning to vendor wording: exam topics are usually structured as operational tasks—study those tasks, not just theory.
- Forgetting rescheduling rules: confirm vendor rescheduling windows after booking so you don’t lose your slot.
- Relying on vague resources: use hands-on practice and scenario-based prep rather than memorizing terms.