Microsoft AI-300 exam vouchers are official exam credits you redeem to book the “Microsoft AI-300 — Operationalizing Machine Learning and Generative AI Solutions (MLOps Engineer)” test in the Microsoft/Pearson VUE scheduling system. ITExamDeals supplies the voucher code after payment is confirmed, so you can reserve your exam date.
What this exam voucher includes
- An official exam voucher code for Microsoft AI-300 (Operationalizing Machine Learning and Generative AI Solutions)
- Voucher redemption instructions for scheduling in the vendor/Pearson VUE portal
- Country-specific eligibility for Lithuania (redeemable where the vendor allows)
- Delivery confirmation after your payment is received
- Support in the chat channel you choose (WhatsApp or Telegram) for redemption questions
- Clear next steps to book your exam time slot once the code is valid
Exam voucher price and what affects it
Your voucher is discounted by ITExamDeals. Listed pricing context for this product is:
| Item | Amount |
|---|---|
| Regular price | $165 |
| ITExamDeals selling price | $39 |
What can affect the final cost you see at purchase time:
- Vendor and market availability for the AI-300 exam credit
- Country/region eligibility rules for voucher redemption
- Voucher expiration windows and current promotional supply
- Payment confirmation timing and any delivery verification steps
Validity, expiry and rescheduling
Voucher codes are issued as time-limited exam credits controlled by the vendor. You must redeem and schedule within the validity window shown for your code after purchase.
Rescheduling is usually subject to the vendor’s booking rules (for example, changes can be allowed up to a cut-off time before the scheduled exam). The exact rescheduling and any fees or limits are governed by Microsoft/Pearson VUE policies in your booking account.
If you miss the scheduled slot (no-show), the vendor’s exam cancellation/no-show rules apply. Plan your study and scheduling so you are ready before you book.
How delivery and redemption work
- Purchase the AI-300 voucher from ITExamDeals for Lithuania.
- After payment is confirmed, ITExamDeals delivers the voucher code via WhatsApp or Telegram.
- Redeem the code in the official Microsoft/Pearson VUE scheduling portal (the same place you book your test appointment).
- After redemption, choose your exam date/time and complete any required identity/eligibility steps.
- If you need to reschedule, use your booking account and follow the vendor’s rescheduling windows.
Exam format at a glance
Microsoft AI-300 measures your ability to operationalize machine learning and generative AI solutions as an MLOps Engineer. Use the official exam guide and your scheduling portal for the most accurate details.
| 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 (see vendor portal for options) |
Typical structure (what to expect)
- Scenarios and tasks focused on MLOps workflows
- Questions that test your knowledge of deploying, monitoring, and maintaining ML/GenAI systems
- Practical decision-making aligned to real-world operational constraints (reliability, governance, and scalability)
Prerequisites
There are no “voucher-only” prerequisites, but Microsoft expects you to have hands-on familiarity with:
- Machine learning pipelines and deployment concepts
- Generative AI fundamentals and operational considerations
- Cloud MLOps practices (CI/CD, monitoring, model lifecycle)
Recertification cycle and realistic study time
- Recertification/retake timing is controlled by Microsoft policy for this certification/exam track.
- For most candidates, a realistic planning baseline is 6–12 weeks of structured study and lab practice, depending on prior MLOps and GenAI experience. Use the official skills outline to size your prep.
Career value and job roles
This voucher supports the Microsoft AI-300 target role: an MLOps Engineer who operationalizes machine learning and generative AI solutions end-to-end. It is relevant for:
- MLOps Engineers and Applied AI Engineers (junior to senior)
- Cloud AI/ML Engineers who deploy models to production
- Data/ML Engineers who manage model lifecycle, monitoring, and reliability
The skills tested map well to responsibilities like:
- Designing repeatable ML/GenAI deployment pipelines
- Managing model versions and updates safely
- Implementing monitoring and feedback loops
- Applying governance and operational best practices
Prepare before you book
Before you redeem and schedule, confirm the exam date availability in your Microsoft/Pearson VUE booking account and review the official exam skills outline.
Use our free practice hub to benchmark your readiness:
- Start with free mock exams
- Passing a mock exam unlocks extra voucher discounts
A good workflow is: take a mock exam → identify weak areas → do targeted practice (pipelines, deployment, monitoring, GenAI ops) → retake until you score consistently.
Common mistakes to avoid
- Waiting too long to book: availability and time slots can be limited.
- Studying only concepts: AI-300 is operational-focused, so prioritize pipeline and lifecycle tasks.
- Ignoring monitoring and governance: production MLOps questions often emphasize reliability and safe operations.
- Not matching your practice to the exam outline: keep your study plan aligned to the official domains.
- Relying on last-minute cramming: leave time for retakes and scheduling changes within vendor windows.