Microsoft AI-300 exam voucher (Operationalizing Machine Learning and Generative AI Solutions) is an official exam credit you redeem in the Microsoft/Pearson VUE scheduling portal to schedule your Microsoft Certified: Azure AI Engineer Associate exam. Buy once, then book the date that fits your plan.
What this exam voucher includes
- 1 official Microsoft exam voucher code for AI-300
- Voucher redemption instructions for scheduling in the vendor portal
- Country-specific voucher coverage for Kazakhstan
- Support in chat to help you understand redemption steps
- Delivery of the voucher code after payment is confirmed (via WhatsApp or Telegram)
- Clear notes on validity/expiry and rescheduling handled by the exam vendor
Exam voucher price and what affects it
ITExamDeals sells this Microsoft AI-300 voucher at a discounted price of $38 USD versus a regular price of $165 USD (price context provided for this listing). Final costs can vary based on the voucher marketplace, country availability, and vendor-controlled pricing/availability rules.
| Item | Value |
|---|---|
| Regular price (USD) | 165 |
| Selling price (USD) | 38 |
Because vouchers are official exam credits, the vendor ultimately controls when and how the code can be used (including expiry and rescheduling windows).
Validity, expiry and rescheduling
Your voucher code has a vendor-controlled validity/expiry window. You must redeem the code within that period by booking an exam date in the scheduling portal.
Rescheduling is also controlled by the vendor. If you already booked your appointment, the ability to change the date (and how many times you can do it) depends on the rules in the Microsoft/Pearson VUE scheduling system.
If your appointment is too close to the exam time or you miss it, the vendor’s no-show policy applies.
How delivery and redemption work
- After payment is confirmed, ITExamDeals delivers your AI-300 voucher code via WhatsApp or Telegram.
- You log in to the Microsoft/Pearson VUE exam scheduling portal.
- Enter the voucher code in the booking flow to apply it to your exam.
- Select an available exam slot in your country/region (Kazakhstan) and complete scheduling.
- Keep your confirmation details because your booking is tied to the vendor scheduling account.
Exam format at a glance
This section gives a practical overview to help you plan. For any figure marked check the vendor page, verify directly in the official Microsoft AI-300 exam 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 | Check the vendor page |
Question and testing format
- Exam is delivered through the vendor’s testing ecosystem (Microsoft/Pearson VUE)
- Assessment typically uses a mix of scenario-based questions and technology-focused tasks
Domains (weighted)
- Domain 1: Designing and implementing ML/GenAI workflows — check the vendor page (%)
- Domain 2: Operationalizing AI solutions — check the vendor page (%)
- Domain 3: Monitoring, optimizing, and maintaining deployed models — check the vendor page (%)
- Domain 4: Responsible AI, security, and governance for AI workloads — check the vendor page (%)
Prerequisites
- Recommended foundational experience in machine learning concepts and Azure services used for AI solution delivery
- Comfort with implementing and operating ML/GenAI components (data, model lifecycle, deployment, and monitoring)
Recertification cycle
- Microsoft certifications and exam requirements can change. Your safest path is to follow the current certification policies on the vendor site at booking time.
Realistic study time
- Typical preparation time is 4–8 weeks depending on your Azure ML/GenAI hands-on background and how often you practice.
Career value and job roles
The AI-300 exam helps validate skills for operationalizing production-ready AI systems. It’s especially relevant for:
- Azure AI Engineer roles (mid-level to senior): deploying ML/GenAI workloads, setting up model operations, and integrating monitoring/telemetry
- Machine Learning Engineer roles: moving from experimentation to reliable operations (CI/CD patterns, deployment strategy, and lifecycle management)
- AI Solution Architect roles: designing responsible and governable AI systems across Azure
If you work with Azure AI services, model deployment patterns, evaluation/monitoring, and responsible AI practices, this exam is a strong credential target.
Prepare before you book
Start with targeted practice, then lock your schedule. Use our free practice hub: free mock exams. Completing and passing a mock exam helps you identify weak areas faster and unlocks extra voucher discounts.
Then, map your study to the AI-300 domains (operationalizing ML/GenAI workflows, monitoring/optimization, and responsible AI/gov) and practice hands-on scenarios with Azure.
Common mistakes to avoid
- Waiting until you “feel ready” without measuring progress—use mock exams first.
- Studying only theory. AI-300 focuses heavily on how to operationalize solutions, not just concepts.
- Ignoring Azure operational concerns (monitoring, evaluation, governance, and reliability).
- Assuming retake/reschedule rules are flexible—vendor policies control validity and timing.
- Buying a voucher without confirming it works for Kazakhstan—this listing is for that region coverage.