Microsoft AI-300 exam vouchers are official exam credits you redeem to schedule the “Operationalizing Machine Learning and Generative AI Solutions” exam with the Microsoft/Pearson VUE booking system for Greece. ITExamDeals delivers the voucher code after payment clears, so you can book your exam date when you are ready.
What this exam voucher includes
- One official Microsoft AI-300 exam voucher code (exam credit)
- Voucher redemption instructions for the Microsoft/Pearson VUE scheduling portal
- Support in chat for matching the voucher to your booking country/region
- The exam booking step-by-step you need after code delivery
- Exam retake guidance (what you can and cannot change after issuing)
- Clear expectations on expiry and vendor-controlled rescheduling windows
Exam voucher price and what affects it
Your selling price for this Greece voucher is $38 USD (regular price $165 USD). Discounts can change based on vendor seat availability, country/region eligibility, and the voucher’s vendor-controlled terms.
| Item | Value |
|---|---|
| Regular price (context provided) | $165 USD |
| Selling price (context provided) | $38 USD |
Because official vouchers are issued by the vendor for a specific exam and region, the final cost is driven by:
- The exam’s vendor rate and regional pricing rules
- Ongoing voucher discount programs (when available)
- The delivery method and post-payment handling by the reseller
Validity, expiry and rescheduling
The voucher has a vendor-controlled validity/expiry and rescheduling windows that are set by Microsoft/Pearson VUE. Once your voucher code is issued, it is typically treated as non-refundable and can only be used within the validity period.
If you need to change your exam time/date, rescheduling must follow the scheduling rules tied to your booking. Rescheduling policies vary by provider and can include cut-off times before the exam start.
How delivery and redemption work
- Choose the correct voucher for Greece in your order process.
- Send your order reference to ITExamDeals on WhatsApp or Telegram.
- ITExamDeals confirms the final price in chat and verifies your details needed for redemption.
- Pay for the voucher. Delivery happens after payment is confirmed.
- Redeem the code in the official Microsoft/Pearson VUE scheduling flow, then select your exam date and test center/online option.
Exam format at a glance
Microsoft AI-300 assesses your ability to operationalize machine learning and generative AI solutions across the full lifecycle: design choices, implementation, deployment, monitoring, and governance. Typical exam elements include scenario-based questions, hands-on style knowledge checks (without exposing real questions), and evaluation of correct configuration and operational practices.
Check the vendor page for exact figures (because formats and scoring can be updated by Microsoft/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 | English (confirm on vendor page) | online / test center (check the vendor page) |
Weighted domains (verify on vendor page if updated):
- Designing end-to-end AI solutions (check the vendor page)
- Operationalizing machine learning workflows (check the vendor page)
- Operationalizing generative AI solutions (check the vendor page)
- Monitoring, governance, and responsible AI operations (check the vendor page)
Prerequisites: Microsoft AI-300 generally expects strong familiarity with Azure data/AI concepts, ML workflows, and generative AI fundamentals. If you are new to Azure AI engineering, plan extra time for core concepts before you book.
Realistic study time: Many candidates need 6–12 weeks of focused preparation depending on hands-on experience.
Recertification cycle: Certification/credential refresh rules can change. Follow the current Microsoft certification requirements shown on the vendor page for the latest cycle and retirement/renewal guidance.
Career value and job roles
This AI-300 voucher supports professionals aiming to validate skills for roles such as:
- AI Engineer (mid-level): operationalizing ML and generative AI on Azure
- Machine Learning Engineer (mid-to-senior): deploying pipelines, monitoring models, and managing inference reliability
- Applied AI / GenAI Solutions Engineer (mid-level): turning prototypes into governed, measurable production systems
Skills you practice align with production responsibilities: deployment patterns, scalable inference, monitoring/telemetry, evaluation, and operational governance for responsible AI.
Prepare before you book
Before you redeem and schedule, make sure you can answer exam-style scenarios under time pressure. Use a structured plan and practice with realistic question sets.
Start with our preparation hub here: free mock exams. Completing a mock exam helps you identify weak areas early, and passing a mock exam unlocks extra voucher discounts (where available).
Common mistakes to avoid
- Booking too early: schedule only after you’ve done at least one full practice run.
- Focusing only on theory: AI-300 is operational; make sure you understand deployment, monitoring, and governance patterns.
- Ignoring evaluation and monitoring: many candidates underestimate how important metrics, drift, and feedback loops are.
- Not reviewing Azure AI/ML workflow basics: configuration and operational choices matter.
- Overlooking vendor-controlled policies: expiry and rescheduling rules are set by the vendor/provider.
- Trying to memorize dumps: rely on legitimate practice and official learning materials instead.