Microsoft AI-300 is an official Microsoft Certified: Azure AI Engineer exam focused on deploying, operating, and monitoring machine learning and generative AI solutions. With this voucher, you receive an exam credit you can redeem to schedule your AI-300 test through the vendor scheduling system (Pearson VUE).
What this exam voucher includes
- One official Microsoft exam voucher credit for Exam AI-300: Operationalizing Machine Learning and Generative AI Solutions.
- A unique voucher code you redeem in the vendor scheduling portal to book your exam date.
- Delivery confirmation via WhatsApp or Telegram after payment is confirmed.
- Support from ITExamDeals on ordering and redemption steps (voucher code delivery only).
- Voucher eligibility and expiry guidance consistent with vendor rules (see “Validity, expiry and rescheduling”).
Exam voucher price and what affects it
This AI-300 voucher is offered at a selling price of $38 USD versus a regular price of $165 USD.
Voucher pricing can vary due to factors such as:
- Country/region-specific vendor terms (the voucher is for Vietnam in this listing).
- Discount eligibility and reseller pricing programs.
- Vendor-controlled availability of exam credits for a specific region.
- Promotions that may change over time.
| Item | Value |
|---|---|
| Vendor / Exam | Microsoft AI-300 |
| Certification track | Microsoft Certified: Azure AI Engineer |
| Selling price | $38 USD |
| Regular price (context) | $165 USD |
Because the voucher must be redeemed through the vendor scheduling portal, the vendor ultimately controls expiry and scheduling policies.
Validity, expiry and rescheduling
Your voucher has vendor-controlled validity and vendor-controlled expiry. Expiry timing can vary by the voucher credit type and region, and it is not decided by ITExamDeals.
Rescheduling is typically allowed within the vendor’s rules after you book your exam—however, the exact windows and conditions depend on Pearson VUE/Microsoft scheduling policies for your booked appointment.
Key points to plan around:
- Redeem the voucher code as soon as possible to secure the best chance of scheduling within the validity period.
- If you already booked a test date, follow the vendor’s rescheduling process for that appointment.
- If your voucher expires before booking, you may not be able to schedule using that credit.
How delivery and redemption work
After you place your order and pay, ITExamDeals delivers the voucher details over WhatsApp or Telegram.
Redemption works like this:
- You receive the voucher code.
- You enter the voucher code in the Microsoft exam scheduling portal (commonly routed through Pearson VUE for Microsoft exams).
- You select your test location/option (where available) and choose an exam date/time.
- You confirm the booking under your Microsoft/Pearson VUE profile.
If you need help placing the booking, the voucher itself is redeemed by you in the vendor portal—ITExamDeals provides ordering support and the voucher code delivery, not vendor-side booking approvals.
Exam format at a glance
Exam AI-300 evaluates your ability to operationalize machine learning and generative AI solutions. The exam is delivered through Microsoft’s scheduling channels (typically Pearson VUE).
| 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 | English (check the vendor page) |
What this usually means for your preparation:
- Expect scenario-based decision making (architecture choices, operational workflows, and reliability/security tradeoffs).
- You may see a mix of question styles such as multiple-choice and other knowledge/application formats (confirm exact formats on the vendor exam page).
Domains (weighted)
The AI-300 exam is structured by competency domains. Weightings can change, and the exact percentages should be verified on the vendor exam page. For planning, use these categories as your roadmap:
- Operationalize ML workflows and pipelines — check vendor page for %
- Operationalize generative AI solutions — check vendor page for %
- Monitor, troubleshoot, and optimize production AI workloads — check vendor page for %
- Responsible AI considerations and governance for AI solutions — check vendor page for %
Career value and job roles
Passing Microsoft AI-300 (Operationalizing Machine Learning and Generative AI Solutions) is a strong validation for people who move beyond model building into production operations.
This exam is commonly relevant for:
- Azure AI Engineer (mid-level to senior) who deploys and runs ML and generative AI workloads.
- ML Engineer / Applied Scientist transitioning to production who needs operational standards, monitoring, and lifecycle management.
- AI Platform / Data Engineering roles that support model governance, reliability, and performance.
Technologies you’ll typically work with include:
- ML pipeline concepts and production workflows
- Generative AI application operations
- Monitoring/telemetry, troubleshooting, and optimization patterns
- Governance and Responsible AI practices for production systems
If you’re pursuing the broader Microsoft Certified: Azure AI Engineer path, AI-300 fits the operational side of the skill set alongside model development and solution design.
Prepare before you book
Start by confirming the latest exam skills outline and operational expectations on the official Microsoft exam page. Then use targeted practice to build confidence before you schedule.
Use our free practice hub here: free mock exams. Completing mock practice helps you identify weak areas early. Passing a mock exam also unlocks extra voucher discounts.
A practical prep sequence:
- Map your learning to each AI-300 domain.
- Practice scenario questions until you can quickly identify the right operational approach.
- Review operational best practices for monitoring, troubleshooting, and responsible deployment.
- Only then choose your exam date so you’re not compressing your study into the last few days.
Common mistakes to avoid
- Buying a voucher without checking validity: redeem promptly so expiry doesn’t block your schedule.
- Studying only model development: AI-300 emphasizes operations—monitoring, reliability, and production workflows.
- Ignoring governance/Responsible AI: production AI requires controls and risk-aware decisions.
- Not practicing scenario questions: operational exams test decisions in realistic situations.
- Waiting too long to book: vendor scheduling availability and your time zone can affect appointment options.
- Forgetting to verify the latest exam page: question counts, durations, and weights can be updated—confirm details before exam day.