Microsoft AI-300 is the credential exam for Operationalizing Machine Learning and Generative AI Solutions (MLOps Engineer). Purchase a genuine exam voucher through ITExamDeals, then redeem it in the official Microsoft or Pearson VUE scheduling portal to select an exam date in Serbia.
What this exam voucher includes
- 1 official Microsoft AI-300 exam voucher/credit for booking the exam
- Voucher code delivered after payment is confirmed
- Redemption instructions for scheduling in the vendor portal
- Country-specific voucher availability for Serbia
- Support in chat for voucher redemption steps
Exam voucher price and what affects it
Your current ITExamDeals selling price for the Microsoft AI-300 voucher (Serbia) is $39 USD, compared to the regular price of $165 USD. The discounted voucher pricing can vary based on vendor credit availability and region/country routing for official exam scheduling.
The voucher itself is a real, vendor-issued exam credit. You redeem it in the official scheduling portal (Microsoft and/or Pearson VUE) to schedule the AI-300 exam for your chosen date/time.
| Item | Value |
|---|---|
| Vendor | Microsoft |
| Exam | AI-300 |
| Certification track | MLOps Engineer |
| Regular price (context) | $165 USD |
| ITExamDeals selling price (context) | $39 USD |
Validity, expiry and rescheduling
This voucher’s usable window and expiry are controlled by Microsoft/Pearson VUE policies for AI-300 and the credit. Your voucher code is redeemed to book an exam appointment, and the vendor sets the rescheduling rules, windows, and any deadlines.
If you change your mind after redeeming (or need to reschedule), follow the scheduling portal’s reschedule process. If a reschedule deadline is missed or you no-show, the vendor may forfeit the appointment.
Because exact validity duration can be updated by the vendor, you should verify the expiry details associated with your voucher code in the official scheduling flow.
How delivery and redemption work
- You choose the Serbia voucher option and place your order.
- After payment is confirmed, ITExamDeals sends the voucher code and booking guidance via WhatsApp or Telegram.
- You redeem the code in the official Microsoft and/or Pearson VUE scheduling portal.
- You select your exam date/time and confirm the appointment.
Important: The voucher is used to create your exam booking. It is not an exam “result guarantee,” and it does not include training—its value is the official exam credit needed to schedule Microsoft AI-300.
Exam format at a glance
Microsoft AI-300 assesses your ability to operationalize machine learning and generative AI solutions, with emphasis on 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 (typically) |
What to expect
- You answer exam questions in the vendor’s testing format.
- Question types may include scenario-based multiple choice and other assessment styles used by the exam provider.
- You should plan for time to read scenarios carefully and select the best operational or architectural approach.
Prerequisites
No universal “one-stop” prerequisite is published for every candidate, but you should be comfortable with:
- Python and basic ML concepts
- APIs, containers, and CI/CD fundamentals
- Working with cloud ML services and deployment concepts
Weighted domains (use as a study map)
Domain weights can change. Use the list below to structure your preparation and confirm weights on the vendor exam page.
- Operationalize ML pipelines and CI/CD for ML (check vendor page for %)
- Deploy and monitor models for reliability and performance (check vendor page for %)
- Manage MLOps workflows and governance for responsible AI (check vendor page for %)
- Operationalize generative AI solutions and RAG patterns (check vendor page for %)
Recertification cycle
Microsoft certification requirements and renewal cycles can be updated. Check your target certification/role details in the vendor’s certification resources for the latest policy.
Realistic study time
Most candidates need roughly 6–10 weeks of part-time study depending on hands-on experience with MLOps and deployment. If you already build and deploy ML systems at work, you may move faster; if you are newer to MLOps, plan longer.
Career value and job roles
This voucher is for candidates pursuing the MLOps Engineer role—people who take ML/GenAI work from experimentation to production with reliable pipelines, repeatable deployments, monitoring, and governance.
Target roles include:
- MLOps Engineer (mid-level)
- ML Platform/AI Engineer
- Cloud AI Engineer focused on deployment and lifecycle operations
- Solutions Engineer or Technical Lead who operationalizes GenAI workloads
You typically benefit most if you already understand model development basics and now need to prove operational expertise: building ML workflows, releasing models safely, and monitoring them in production.
Prepare before you book
Use a structured plan before you redeem and schedule. Start with hands-on practice and knowledge checks.
- Begin with Microsoft-aligned learning and labs for MLOps and GenAI operations.
- Then use our free practice hub: free mock exams.
- Passing a mock exam unlocks extra voucher discounts from ITExamDeals—an incentive to validate your readiness before you spend your exam attempt.
Common mistakes to avoid
- Waiting until the last week with no scenario practice. AI-300 is applied and operational—train decision-making, not just terminology.
- Overfocusing only on model training and ignoring deployment, monitoring, data/feature pipelines, and governance.
- Skipping MLOps lifecycle concepts like versioning, rollback strategies, CI/CD integration, and observability.
- Not checking the official exam page for the latest question types, duration, and domain weights.
- Redeeming late without leaving time to reschedule if something conflicts.