You receive a genuine Microsoft AI-300 exam voucher credit that you redeem to schedule the Microsoft Certified: Azure AI Engineer Associate exam. This voucher is delivered by ITExamDeals after payment is confirmed, and the code is used in the vendor or Pearson VUE scheduling flow.
What this exam voucher includes
- One official exam voucher credit for Microsoft AI-300 (Operationalizing Machine Learning and Generative AI Solutions)
- Voucher redemption instructions for the scheduling portal (vendor-controlled)
- Access to your voucher code delivery via WhatsApp or Telegram after payment confirmation
- Support guidance on where to enter the code and how to start booking
- Confirmation that your voucher is an exam-credit (not a license or subscription)
Exam voucher price and what affects it
Your listed pricing for this AI-300 voucher is: regular price $165, selling price $38 (USD).
What affects price:
- Vendor availability in your target country/region (here: Jordan)
- Voucher type and channel rules (official exam credit redeemed in Microsoft/Pearson VUE)
- Promotional discount windows controlled by the reseller supply and vendor offer structure
Quick value snapshot (USD)
| Item | Price | Notes |
|---|---|---|
| Regular price | $165 | Reference price (context provided) |
| ITExamDeals selling price | $38 | Discounted voucher credit |
Validity, expiry and rescheduling
Voucher expiry is vendor-controlled. After you redeem the credit, the ability to reschedule is governed by Microsoft/Pearson VUE booking rules and the exam appointment policy.
If you do not book within the allowed time window, the voucher may expire according to the vendor terms shown at redemption. Always check the redemption and booking pages for the exact expiry and scheduling limits for your account and region.
How delivery and redemption work
- Pay ITExamDeals and share your order reference in chat.
- We deliver your Microsoft AI-300 voucher code via WhatsApp or Telegram once payment is confirmed.
- You redeem the voucher credit in the Microsoft/Pearson VUE scheduling portal.
- After redemption, you select an available date/time and complete booking.
- You attend the exam at the scheduled time (online or test center format, depending on what you book).
Exam format at a glance
The Microsoft AI-300 exam tests your ability to operationalize machine learning and generative AI solutions. Format details are vendor-controlled and may vary by delivery method.
| 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 (commonly) / check the vendor page |
Question types (typical): scenario-based multiple choice and case/decision items that assess practical operational design choices.
Weighted domains (check the vendor page):
- Operationalize machine learning solutions: check the vendor page (commonly a major portion)
- Operationalize generative AI solutions: check the vendor page (commonly a major portion)
- Monitor, evaluate, and govern ML/GenAI performance: check the vendor page
Prerequisites: Microsoft does not always list strict prerequisites for each candidate, but you should already be comfortable with:
- Building ML/GenAI solutions with Azure services
- Managing data pipelines and model lifecycle basics
- Implementing monitoring/evaluation concepts
Recertification cycle: Microsoft certification updates follow vendor schedules; your certification status and retirement/upgrade paths are governed by Microsoft.
Realistic study time: many candidates need 8–12 weeks of focused preparation depending on experience.
Career value and job roles
This voucher helps you pursue Microsoft Certified: Azure AI Engineer Associate, aimed at hands-on professionals who take AI from prototype to production.
Relevant roles include:
- AI Engineer (mid-level) designing ML/GenAI operational pipelines
- Machine Learning Engineer (mid to senior) focusing on deployment, monitoring, and governance
- Data Scientist / Applied AI Engineer transitioning into production operational responsibilities
You’ll typically work with Azure-based AI services, model evaluation/monitoring practices, and responsible operational patterns.
Prepare before you book
Use the time between ordering and booking to confirm your baseline skills and schedule.
Start with our free practice hub: free mock exams. Passing a mock exam unlocks extra voucher discounts, so it’s the fastest way to both measure readiness and improve your final cost.
Also:
- Review each domain and map it to your real project experience
- Practice explaining operational trade-offs (latency vs. reliability, evaluation vs. drift, rollout vs. governance)
- Make sure you can navigate the skills measured in ML + GenAI operations, not just model training
Common mistakes to avoid
- Booking without redeeming readiness: confirm the code works in the scheduling portal before the day you plan to take the exam.
- Only studying theory: AI-300 focuses on operationalizing—prioritize monitoring, evaluation, deployment behavior, and governance.
- Ignoring GenAI operational aspects: treat prompt/response evaluation, safety, and performance measurement as production concerns.
- Weak prerequisites: if you’re shaky on ML lifecycle fundamentals, spend early time on deployment and monitoring concepts.
- Waiting too long: vendor expiry windows can be strict—book your appointment as soon as you redeem.