Microsoft AI-300 is an official exam voucher that gives you a real exam credit to book the “Operationalizing Machine Learning and Generative AI Solutions” test with Microsoft, using the scheduling portal provided by the exam vendor (commonly Pearson VUE). After you redeem the voucher code, you select your exam date/time and complete the exam under the vendor’s rules.
What this exam voucher includes
- One official Microsoft AI-300 exam voucher code (exam credit).
- Voucher redemption instructions for booking your exam date.
- Delivery of the code via WhatsApp or Telegram after payment confirmation.
- Support in confirming the correct exam (AI-300) and your chosen country/region.
- Clear guidance on expiry and rescheduling rules as set by the vendor.
Exam voucher price and what affects it
Your voucher is offered at a discounted price of $38 USD (regular price: $165 USD) for the Microsoft AI-300 exam. The final voucher price can vary based on the vendor’s licensing and regional availability rules.
What influences voucher availability and cost
- Country/region eligibility (this listing is for Grenada).
- Vendor-controlled pricing and how the exam credit is issued.
- Scheduling window and voucher validity terms.
- Demand (short-term changes can affect what resellers can offer).
| Item | Value |
|---|---|
| Vendor exam | Microsoft AI-300 |
| Certification | Microsoft Certified: Azure AI Engineer Associate |
| Regular price | $165 USD |
| Selling price | $38 USD |
Validity, expiry and rescheduling
This voucher is an official exam credit issued by the vendor and it is subject to vendor-controlled expiry. Once issued, the voucher code typically has a limited validity period, and rescheduling windows are set by the vendor.
Important points:
- You must redeem and book in line with the vendor’s rules for time limits.
- Rescheduling is allowed only within the vendor’s permitted window and based on availability.
- If your selected date is missed, no-show consequences are enforced under the vendor policy.
Because expiry and rescheduling windows are controlled by the vendor (not ITExamDeals), always check the code redemption screen details or confirmation message once you redeem.
How delivery and redemption work
- You place your order and confirm you are purchasing the AI-300 voucher for Grenada.
- After payment is confirmed, ITExamDeals sends the voucher code to you via WhatsApp or Telegram.
- You redeem the code in the vendor or Pearson VUE scheduling portal associated with Microsoft exams.
- You select an available exam slot, complete booking, and follow any identity verification steps required.
You will not need to download or install anything from ITExamDeals. Your voucher code is what matters for booking.
Exam format at a glance
Microsoft AI-300 tests your ability to operationalize machine learning and generative AI solutions. The exam is taken online or at a test center depending on the scheduling options shown in the booking portal.
Exam details
- Exam code: AI-300
- Exam title: Operationalizing Machine Learning and Generative AI Solutions
- Certification path: Microsoft Certified: Azure AI Engineer Associate
- Delivery: check the vendor booking page for exact delivery mode and language options.
Weighted domains (percentages)
Vendor weighting can change. Where exact percentages are not available here, treat the items below as the domain themes and check the vendor page for official weights.
- Domain 1: Operationalize ML solutions in production (check the vendor page for %)
- Domain 2: Operationalize generative AI solutions (check the vendor page for %)
- Domain 3: Monitor, evaluate, and ensure reliable performance (check the vendor page for %)
- Domain 4: Governance and responsible AI considerations (check the vendor page for %)
Questions, duration, passing score, and language
Because exact figures can vary by release, confirm the latest numbers during booking on the vendor portal.
| 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 and realistic study time
- No strict prerequisite is always required to register, but you should already understand core Azure AI concepts and practical ML/GenAI deployment patterns.
- Realistic preparation time: typically 6–10 weeks for learners aiming for proficiency (faster for experienced Azure AI engineers; longer if you are new to ML operations).
Recertification cycle
Microsoft certification policies can change over time. Plan your refresh cadence based on Microsoft’s published certification retirement/renewal guidance for Azure AI certifications (check official Microsoft documentation).
Career value and job roles
This voucher supports your Microsoft Certified: Azure AI Engineer Associate journey. It aligns with real work in production ML and generative AI systems.
Common roles this exam helps you target:
- Azure AI Engineer (mid-level): operationalizing ML pipelines, model deployment, evaluation, monitoring, and responsible AI.
- Machine Learning Engineer (mid to senior): taking prototypes to reliable systems with governance and observability.
- GenAI/Applied AI Engineer (mid-level): deploying LLM-based solutions with quality, safety, and performance monitoring.
If you work on MLOps, model lifecycle management, and GenAI application operations, AI-300 directly maps to those responsibilities.
Prepare before you book
Before you book, build a study plan that mirrors how you operationalize systems in Azure: deployment patterns, monitoring/evaluation, and governance for responsible AI.
Start with practice so you know what to focus on. Use our free practice hub here: free mock exams.
Passing a mock exam unlocks extra voucher discounts, so you can reduce your next certification cost while validating readiness.
Common mistakes to avoid
- Waiting too long to redeem: vendor expiry can limit your scheduling options.
- Studying only theory: AI-300 expects operational thinking (production readiness, monitoring, evaluation).
- Ignoring governance/responsible AI: you should be prepared to apply safe, compliant practices.
- Not validating delivery mode and language: confirm these in the scheduling portal before finalizing booking.
- Skipping practice tests: mock exams reveal weak areas and save time before you take the real exam.