Microsoft AI-300 is the proctored exam for the Microsoft Certified: Azure AI Engineer Associate track. This official exam voucher gives you a redeemable code to schedule “Operationalizing Machine Learning and Generative AI Solutions” (AI-300) in the vendor/Pearson VUE booking flow.
What this exam voucher includes
- One official Microsoft exam voucher code for Microsoft AI-300 (Operationalizing Machine Learning and Generative AI Solutions)
- Redemption instructions for booking via the Microsoft/Pearson VUE scheduling portal
- Country-specific voucher eligibility for Saudi Arabia (as provided with the purchase)
- Support via chat to help you complete voucher redemption steps
- Voucher issuance after payment confirmation (delivery is handled through WhatsApp or Telegram)
Exam voucher price and what affects it
The voucher is discounted by ITExamDeals from the regular list price. For this offer:
- Regular price: $165 USD
- Selling price: $38 USD
Voucher pricing can vary based on vendor pricing changes, country eligibility rules, and current reseller discounting. Your final amount is the amount confirmed in chat before payment.
| Item | What it means |
|---|---|
| Exam voucher code | Official booking credit redeemed in the vendor scheduling portal |
| Country eligibility | Voucher works in the selected region (here: Saudi Arabia) |
| Discount | Reseller pricing versus the regular list price |
Validity, expiry and rescheduling
Microsoft exam vouchers are governed by vendor policy for expiry/validity once issued. The exact expiration date and any rescheduling constraints are vendor-controlled and may be reflected in the voucher booking flow.
If you need to reschedule, you must do so using the scheduling portal according to the vendor’s rescheduling windows. Rescheduling is subject to availability and vendor rules; the voucher still applies to the exam booking you complete within the permitted time.
How delivery and redemption work
- Purchase your AI-300 voucher and keep your order reference available.
- After payment is confirmed, we deliver the voucher code to you via WhatsApp or Telegram.
- You redeem the code in the Microsoft/Pearson VUE scheduling portal (the same booking experience used for proctored Microsoft exams).
- Select your test center (or remote option if permitted for your exam and region), choose a date/time, and complete booking.
- Keep your confirmation details until exam day.
Exam format at a glance
Exam: Operationalizing Machine Learning and Generative AI Solutions (AI-300)
You’ll take a proctored Microsoft exam in the official scheduling portal. The exam uses a mix of question types such as:
- Multiple choice
- Scenario-based questions
- Hands-on/implementation-style assessment elements (where applicable to the current exam delivery)
Duration and passing score details can change by exam version, so verify the exact numbers in the official booking flow.
| 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 |
Prerequisites: Microsoft expects you to have practical experience with building, deploying, and operating AI/ML and generative AI solutions on cloud services. Familiarity with Azure AI services, data workflows, and MLOps concepts is strongly recommended.
Recertification cycle: This is tied to Microsoft certification policy for the underlying certification track. Plan for periodic revalidation and keep an eye on Microsoft’s current certification lifecycle guidance.
Realistic study time: Many candidates need 6–10 weeks of focused preparation depending on prior experience with Azure AI, ML operations, evaluation, and responsible AI practices.
Career value and job roles
AI-300 is aimed at professionals who operationalize machine learning and generative AI solutions end-to-end. It maps well to roles such as:
- Azure AI Engineer (Associate/entry-to-mid seniority): build and deploy AI solutions, set up pipelines, and operationalize models
- ML Ops / Applied AI Engineer: focus on evaluation, deployment automation, monitoring, and reliability
- GenAI Solution Engineer: implement prompt/agent workflows, guardrails, and production-ready generative AI patterns
Recommended prerequisites include working familiarity with Azure data services, deploying models, and applying MLOps practices (training orchestration, versioning, monitoring, and continuous improvement). Strong fundamentals in software engineering and cloud operations help you move faster through the material.
Prepare before you book
Use our preparation hub to reduce booking-day surprises and to focus on the skills measured by the exam. Start here: free mock exams.
If you pass a mock exam, you’ll unlock extra voucher discounts on selected offers, so it’s a practical way to lower your exam cost while you validate readiness.
Common mistakes to avoid
- Waiting until after you receive the voucher code to start studying: plan your learning first, then book.
- Skipping operational topics (evaluation, monitoring, retraining, governance): operationalization is the exam focus.
- Assuming generative AI is only prompt engineering: the exam also assesses solution reliability, integration patterns, and safe use.
- Ignoring the vendor scheduling rules: expiry and rescheduling windows are vendor-controlled—check them once you redeem.
- Studying without measuring progress: use practice tests (including free mock exams) so you can target weak domains early.