Microsoft AI-300 exam vouchers are genuine exam credits issued by Microsoft and redeemed in the vendor or Pearson VUE scheduling portal. Use this voucher to schedule the Microsoft AI-300: Operationalizing Machine Learning and Generative AI Solutions (MLOps Engineer) exam and test your ability to productionize ML and GenAI systems.
What this exam voucher includes
- A Microsoft AI-300 voucher/exam credit code that you redeem to book your exam.
- Support from ITExamDeals via WhatsApp or Telegram for ordering and redemption steps.
- The voucher is discounted versus the regular price.
- Confirmation that delivery happens only after payment is confirmed.
- Delivery of the voucher code through WhatsApp or Telegram (no shipping).
- Guidance on booking your exam date after redemption.
- Notes on vendor-controlled validity and rescheduling rules.
Exam voucher price and what affects it
This voucher is discounted by ITExamDeals.
| Pricing item | Amount |
|---|---|
| Regular price | $165 |
| Selling price (ITExamDeals) | $39 |
The final value you receive depends on the vendor’s current pricing and the voucher type/market rules Microsoft applies. Voucher availability can also vary by country/region and by how Microsoft/Pearson VUE surfaces scheduling slots at the time you book.
Validity, expiry and rescheduling
Voucher validity and expiry are controlled by Microsoft/Pearson VUE policies, not by ITExamDeals. After you redeem the code in the scheduling portal, the exam booking becomes subject to the vendor’s scheduling and rescheduling windows.
If you need to change your exam date, use the rescheduling options inside the vendor/Pearson VUE portal. Rescheduling eligibility and cut-off times are set by Microsoft/Pearson VUE. If you miss the allowed reschedule window, you may have to book again under the vendor’s rules.
How delivery and redemption work
- Choose Cuba as your country/region for ordering.
- Send your order reference to ITExamDeals on WhatsApp or Telegram.
- Confirm the exact price in chat ($39 USD selling price for this listing).
- Pay, then wait for payment confirmation.
- Receive the Microsoft AI-300 voucher code on WhatsApp or Telegram.
- Redeem the code in the vendor or Pearson VUE scheduling portal.
- Book your exam date once the voucher credit is applied.
After redemption, the remaining steps are handled in the official scheduling portal. ITExamDeals delivers the voucher code and supports you with the ordering flow, but exam booking/rescheduling occurs in the vendor system.
Exam format at a glance
Microsoft AI-300 checks your MLOps and GenAI operationalization skills using a proctored exam experience through 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 | check the vendor page | check the vendor page |
Question types and what to expect
- Scenario-based questions focused on implementing reliable ML/GenAI workflows.
- Assessment of production thinking (deployments, pipelines, monitoring, governance).
- Practical understanding of end-to-end MLOps operations rather than memorization.
Weighted domains (percentages)
Percent weights can change by vendor updates. For AI-300, typical domain coverage focuses on operationalizing ML and GenAI solutions.
- Domain 1: Productionize ML and GenAI solutions (check the vendor page)
- Domain 2: Build and manage MLOps workflows (check the vendor page)
- Domain 3: Monitor, evaluate, and govern in production (check the vendor page)
Career value and job roles
The Microsoft AI-300 exam is designed for professionals who operate the lifecycle of machine learning and generative AI systems in production.
Common job roles include:
- MLOps Engineer (mid to senior)
- AI/ML Engineer focused on operational deployment
- Cloud Engineer responsible for ML/GenAI platforms
- Data Scientist transitioning into production ML/GenAI operations
You’re typically expected to understand how to:
- Turn models and prompts into repeatable, versioned, automated workflows.
- Deploy and manage inference pipelines.
- Monitor model and application performance over time.
- Apply governance and operational controls that reduce risk in production.
Related technologies often include cloud services for ML orchestration, containerized deployment patterns, CI/CD-style workflow concepts, and observability practices for production systems.
Prepare before you book
Start with a focused plan, then validate your readiness before you schedule. Use the free practice hub here: free mock exams.
Take a mock exam to find weak areas quickly. Passing a mock exam unlocks extra voucher discounts, helping you reduce cost while you prepare. Then book your Microsoft AI-300 exam date once you’re consistently scoring near your target.
Common mistakes to avoid
- Waiting to study until after you redeem: you still need time for hands-on MLOps and GenAI operations concepts.
- Over-focusing on model training: AI-300 emphasizes operationalizing systems (pipelines, deployment, monitoring, governance).
- Ignoring scenario-based questions: practice applying knowledge to real production workflows.
- Skipping toolchain knowledge: build comfort with the workflow of moving from development to monitored production.
- Not checking the latest vendor exam guide: domain weights, question counts, and delivery options can change.
- Forgetting rescheduling rules: confirm cut-offs in the vendor/Pearson VUE portal before booking.