Microsoft AI-300 is the official exam for the Microsoft Certified: Azure AI Engineer Associate. This voucher provides genuine exam credit to schedule and take the AI-300 exam, where you redeem the code in the vendor or Pearson VUE booking flow.
What this exam voucher includes
- An official Microsoft exam voucher code for AI-300 (MLOps Engineer)
- Redemption instructions for scheduling the exam in the Microsoft or Pearson VUE portal
- Country-specific voucher eligibility confirmation for Israel
- Support after purchase via WhatsApp or Telegram to help you redeem and book
- Voucher value mapping (your discounted price vs. regular price context) for your order record
- Clear notes on validity/expiry and vendor-controlled rescheduling windows
Exam voucher price and what affects it
This ITExamDeals listing is discounted to $39 USD from a regular price of $165 USD (pricing context provided for this product page).
Voucher pricing can vary based on:
- Vendor pricing and ongoing regional availability
- Country eligibility rules (this voucher is for Israel)
- Promotions or discounted credit lots the reseller receives
- Operational factors such as delivery channel availability after payment confirmation
Quick value snapshot
| Item | Price | What you get |
|---|---|---|
| Microsoft AI-300 voucher | $39 USD | Official exam credit to book AI-300 |
| Reference regular price | $165 USD | Baseline vendor price context |
Validity, expiry and rescheduling
Voucher validity and expiry are controlled by Microsoft/Pearson VUE after the code is issued. You must redeem and book within the vendor’s stated time window.
If you need to reschedule, rescheduling is governed by the vendor’s rules and windows (for example, whether you must reschedule a minimum number of days before your appointment). Rescheduling policies and cutoffs are not set by ITExamDeals.
How delivery and redemption work
- After you place an order, payment must be confirmed.
- ITExamDeals sends the voucher code to you via WhatsApp or Telegram.
- You redeem the code in the vendor/Pearson VUE scheduling portal and select your exam date and location.
- You may be asked to confirm your account details while booking.
- Once your booking is confirmed, you receive your appointment confirmation per the vendor portal.
Exam format at a glance
AI-300 evaluates your ability to operationalize machine learning and generative AI solutions using MLOps engineering practices.
| 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 vendor page) |
What to expect:
- You’ll answer scenario-based questions that test how you design, deploy, monitor, and manage ML/GenAI pipelines.
- Question types commonly include multiple-choice and other knowledge/application formats (the exact breakdown is subject to the current exam build—check the vendor page).
Prerequisites:
- There are no universal “must-have” prerequisites stated for certification enrollment, but you should be comfortable with MLOps concepts and building/releasing ML or GenAI applications.
- Microsoft often expects working familiarity with Azure services used for ML and AI workloads (details are in the exam guide—check the vendor page).
Recertification cycle:
- Certification renewal and maintaining status follow Microsoft’s policy for the Microsoft Certified: Azure AI Engineer Associate track (the specific cycle rules can change—check the vendor page).
Realistic study time:
- Many candidates plan 4–8 weeks of focused preparation depending on prior experience with ML pipelines, deployment patterns, and Azure AI services.
Domain coverage (weighted):
- Domain weights are shown in the official exam outline; specific percentages can change. For the most accurate breakdown, check the vendor exam outline.
- Typical AI-300 topics align to operationalizing ML and GenAI solutions, including pipeline patterns, orchestration, deployment, monitoring/observability, and governance.
Career value and job roles
This AI-300 voucher targets MLOps engineering skills used in production AI systems—especially where you need to take models from development to reliable, monitored, and governed deployment.
It’s a strong fit for:
- MLOps Engineer roles (mid-level to senior-level), who own deployment and lifecycle operations for ML and GenAI workloads
- ML/AI Platform Engineers building reusable pipelines and standardized CI/CD for AI
Typical prerequisite skills include:
- Experience with Azure-based ML/AI services and data pipelines
- Understanding of training vs. inference workflows
- Ability to think about monitoring, drift, and operational reliability
Prepare before you book
Use practice to verify readiness before you schedule the real exam. Start with our hub: free mock exams.
Take at least one mock exam to assess your strong and weak areas across the AI-300 skills measured. If you pass a mock exam, you unlock extra voucher discounts—a good way to reduce your total cost before you book.
Common mistakes to avoid
- Booking before you’re ready: AI-300 expects operational judgment, not only terminology.
- Only reading theory: spend time mapping concepts to real deployment and monitoring workflows.
- Ignoring observability and reliability: operational ML and GenAI success depends on metrics, logging, evaluation, and failure handling.
- Assuming one approach fits all: scenarios will test trade-offs across pipeline and deployment patterns.
- Forgetting vendor constraints: voucher expiry and rescheduling windows are controlled by Microsoft/Pearson VUE—redeem and book early.
- Using the wrong redemption portal: redeem your voucher code in the vendor scheduling flow to ensure your appointment is valid.