Microsoft AI-300 is the Operationalizing Machine Learning and Generative AI Solutions exam for the Microsoft Certified: Azure AI Engineer Associate. This official exam voucher is a genuine vendor exam credit redeemed in the Microsoft/Pearson VUE scheduling portal when you book your AI-300 exam.
What this exam voucher includes
- 1 official Microsoft exam voucher code for AI-300 (Operationalizing Machine Learning and Generative AI Solutions).
- Voucher redemption instructions for scheduling your exam through the Microsoft/Pearson VUE portal.
- Support for using WhatsApp/Telegram delivery and confirming your order reference.
- Country-specific guidance for booking in Haiti (as provided during order).
- A clear confirmation message after payment is verified.
Exam voucher price and what affects it
This AI-300 voucher is offered at a selling price of $38 USD, compared to a regular price of $165 USD. The discounted price is specific to this voucher listing and may differ based on vendor availability and local fulfillment.
What can affect exam voucher pricing:
- Vendor-controlled supply and regional availability.
- Voucher allocation timing and fulfillment method.
- Microsoft/Pearson VUE scheduling availability for your chosen testing window.
- Order handling (such as delivery method and country/region constraints).
Quick reference table:
| Item | Value |
|---|---|
| Regular price | $165 USD |
| ITExamDeals selling price | $38 USD |
Validity, expiry and rescheduling
Exam vouchers are vendor-issued credits that follow Microsoft and Pearson VUE rules. Your voucher code will have a validity period controlled by the vendor/issuing policy. You must redeem and schedule the exam according to the vendor’s allowed timeframe.
Rescheduling is also governed by Microsoft/Pearson VUE scheduling windows and your testing appointment policy. If you plan to change your exam date, check the rescheduling rules in the booking portal before making changes.
If you are close to the expiry window, book your exam date as soon as your voucher is redeemed.
How delivery and redemption work
- After you place your order, we confirm your order reference in chat.
- Delivery is sent over WhatsApp or Telegram after payment is confirmed.
- You receive the AI-300 voucher code in chat.
- You redeem the voucher code in the Microsoft/Pearson VUE exam scheduling portal.
- After redemption, you select a testing date/time based on Pearson VUE availability.
Important: The voucher code is the key item. Once issued, the code must be redeemed in the vendor portal to book your appointment.
Exam format at a glance
Microsoft AI-300 is delivered through the Microsoft/Pearson VUE exam platform. Exact counts and policy details can vary by delivery environment, so always verify specifics in the booking portal and your exam confirmation.
| Exam code | Exam name | Delivery questions | Duration | Passing score | Languages | Delivery options |
|---|---|---|---|---|---|---|
| AI-300 | Operationalizing Machine Learning and Generative AI Solutions | Check the vendor page | Check the vendor page | Check the vendor page | Check the vendor page | Pearson VUE online/in-center (check the vendor page) |
Exam format typically includes scenario-based testing where you apply Azure AI concepts to operational tasks (deploy, manage, monitor, secure, and govern solutions). You will be assessed on practical decision-making across operational workflows rather than only definitions.
Weighted domains (percentages)
- Domain weights: check the vendor page for the latest published percentages.
- Common domain areas include operationalizing machine learning workflows, deploying and managing generative AI solutions, and applying monitoring, safety, and responsible AI practices.
Prerequisites
- No single “mandatory” prerequisite is always required, but you should be comfortable with Azure fundamentals and applied machine learning/generative AI concepts.
Recertification cycle
- Microsoft certification policies can change. Check the current certification/recertification rules published by Microsoft for the Microsoft Certified: Azure AI Engineer Associate.
Realistic study time
- Typical preparation time is about 40–80 hours, depending on your Azure experience and prior exposure to MLOps and generative AI operations.
Career value and job roles
AI-300 aligns strongly with the day-to-day work of an Azure AI Engineer who operationalizes AI solutions in production environments. It is also useful for Cloud Data Engineers and Machine Learning Engineers moving from experimentation into deployment, monitoring, and governance.
Common roles that benefit from AI-300:
- Azure AI Engineer (mid-level to senior): operationalize ML and generative AI services on Azure.
- Machine Learning Engineer (mid-level): productionize model training/deployment pipelines.
- Cloud Solutions Architect (AI-focused): design operational AI architectures and responsible AI guardrails.
Skills you develop are directly relevant to:
- Azure AI services and ML operations patterns.
- Model deployment and lifecycle management.
- Monitoring, evaluation, and operational readiness.
- Responsible AI and solution governance.
Prepare before you book
Use our free preparation hub to confirm your readiness before you redeem and schedule your voucher: free mock exams.
Passing a mock exam can unlock extra voucher discounts, so it’s worth completing a practice attempt before you commit to a testing date.
Common mistakes to avoid
- Waiting too long to book: once you redeem your voucher, you still need an available appointment before any vendor validity window ends.
- Studying only theory: AI-300 expects operational thinking—deployment, monitoring, and governance decisions.
- Skipping Azure environment setup: practical familiarity with Azure resources and operational workflows helps you answer scenario questions more confidently.
- Overlooking responsible AI: generative AI operationalization includes safety, evaluation, and governance concepts.
- Not verifying exam-specific details: always re-check the booking portal for question counts, language availability, and delivery options.