You will receive an official exam voucher credit for Microsoft AI-300 — Operationalizing Machine Learning and Generative AI Solutions (MLOps Engineer). After you pay, we deliver your voucher code via WhatsApp or Telegram, and you redeem it in the vendor scheduling portal to book your exam.
What this exam voucher includes
- Official voucher credit for the Microsoft AI-300 exam (MLOps Engineer).
- Voucher redemption code delivered after payment confirmation.
- Redeem-and-book instructions tailored to your voucher redemption flow.
- Country/region eligibility guidance for Iraq availability.
- Order reference tracking so you can request help if needed.
- Access to your purchase details so you can complete scheduling without delays.
Exam voucher price and what affects it
This voucher is offered by ITExamDeals at a selling price of $39 USD versus a regular price of $165 USD. Your final checkout total depends on the voucher batch availability for your region, vendor pricing rules, and the exchange/processing costs we may need to cover for delivery and support.
| Voucher detail | What it means for you |
|---|---|
| Exam | Microsoft AI-300 |
| Selling price | $39 USD (ITExamDeals) |
| Regular price | $165 USD (typical list price) |
| Currency | USD |
| Region | Iraq |
Pricing can vary by region and vendor policy; always confirm the voucher price in chat before payment.
Validity, expiry and rescheduling
Voucher credits have vendor-controlled validity and may expire if you do not schedule your exam in the allowed window. Rescheduling is handled in the vendor scheduling system; changes follow the rescheduling rules and deadlines set by Microsoft/Pearson VUE. If you need a new date, review the vendor’s booking page immediately after you redeem.
If your exam booking has not been scheduled within the voucher’s validity, you may not be able to use the credit. Plan your study schedule so you can book early.
How delivery and redemption work
- Choose the country: select Iraq while ordering so the voucher credit is issued with the correct regional eligibility.
- Send your order reference on WhatsApp or Telegram to start delivery.
- Confirm the final price in chat (price is $39 USD for this listing) before paying.
- Pay for the voucher.
- Redeem and book: after payment is confirmed, you receive your voucher code and redeem it in the vendor scheduling portal to select your AI-300 exam date.
Exam format at a glance
Microsoft AI-300 is delivered through the official exam delivery platform and is designed to test applied skills in MLOps practices for machine learning and generative AI.
Key details to verify on the vendor page:
- Exact number of questions: check the vendor page.
- Duration: check the vendor page.
- Passing score: check the vendor page.
- Language options: check the vendor page.
AI-300 breakdown (verify exact figures on the vendor page)
| 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 | online via vendor scheduling; proctored experience per vendor policy |
Weighted domains (percentages)
The exam measures job-relevant capabilities across MLOps and GenAI operationalization. Use the vendor’s official domain outline for exact weighting; where percentages are not confirmed here, treat them as check the vendor page.
- Plan & manage ML/GenAI lifecycle: check the vendor page (%).
- Build and operationalize MLOps pipelines: check the vendor page (%).
- Deploy, monitor, and improve ML/GenAI solutions: check the vendor page (%).
- Governance, security, and reliability practices: check the vendor page (%).
Prerequisites
There are no universal “hard” prerequisites for purchasing, but success typically requires practical experience with:
- Production ML workflows and ML lifecycle concepts
- CI/CD fundamentals for ML systems
- Model deployment, monitoring, and iterative improvement
Realistic study time
Most candidates plan 4–8 weeks depending on prior hands-on experience with MLOps and generative AI operations.
Career value and job roles
This voucher targets the MLOps Engineer role focused on operationalizing machine learning and generative AI solutions in real systems.
Typical job roles include:
- MLOps Engineer (mid-level to senior)
- ML Engineer / Applied AI Engineer transitioning to production operations
- Solutions Architect (AI/ML) supporting deployment, monitoring, and governance
If you work with model pipelines, deployment automation, and production monitoring, AI-300 strengthens your credentials for production-ready ML/GenAI engineering.
Prepare before you book
Before you schedule, run a short preparation cycle to confirm readiness. Start with our free mock exams to benchmark your knowledge.
Taking a mock exam helps you identify weak domains early. Passing a mock exam unlocks extra voucher discounts, so it can reduce your overall certification cost while you close knowledge gaps.
Common mistakes to avoid
- Waiting until late: voucher validity can be limited, so book before you fully feel ready.
- Studying theory only: focus on operational tasks such as pipeline design, deployment patterns, monitoring, and governance.
- Ignoring domain weighting: prioritize areas that contribute most to the score (confirm exact weights on the vendor page).
- No practice with the workflow: use hands-on labs or practice assessments aligned to MLOps and GenAI operations.
- Forgetting vendor scheduling rules: rescheduling and expiry follow Microsoft/Pearson VUE policy, not the reseller.