Microsoft AI-300 is the proctored Microsoft certification exam for Operationalizing Machine Learning and Generative AI Solutions (MLOps Engineer). This official exam voucher gives you a genuine vendor exam credit that you redeem to schedule your test date.
What this exam voucher includes
- An official Microsoft AI-300 exam voucher code (exam credit) issued by the vendor
- Redemption instructions for the Microsoft/Pearson VUE scheduling portal
- Qatar-specific voucher ordering support via chat
- Clear guidance on when your credit can be used to book
- Confirmation message after payment is received
Exam voucher price and what affects it
This voucher is discounted by ITExamDeals.
| Pricing item | Amount (USD) |
|---|---|
| Regular price | 165 |
| Selling price (ITExamDeals) | 39 |
Voucher pricing can depend on country/region availability (here: Qatar), current vendor promotions, and voucher allocation for the selected exam code. Your voucher is a genuine vendor exam credit—no informal discounts or unofficial codes.
Validity, expiry and rescheduling
Your voucher has a vendor-controlled expiry window. Once issued, you must redeem and schedule within the timeframe defined by Microsoft/Pearson VUE for that exam credit.
Rescheduling is handled by the scheduling portal after you book. If you need to move your appointment, you must do so within the vendor’s allowed rescheduling window (and before your booked session). If you miss the exam without cancelling/rescheduling per policy, you may forfeit the booking.
How delivery and redemption work
- Pay for the voucher.
- After payment is confirmed, we deliver the voucher details through WhatsApp or Telegram.
- You redeem the voucher code in the Microsoft/Pearson VUE scheduling portal.
- Choose your preferred test center/online option (where available) and book your exam date.
- The voucher credit is consumed when you successfully complete the booking.
Exam format at a glance
Use the vendor page for the latest details on exact numbers and scoring.
| Exam code | Questions | Duration | Passing score | Languages | Delivery options |
|---|---|---|---|---|---|
| Microsoft AI-300 | Check the vendor page | Check the vendor page | Check the vendor page | English (check the vendor page) | Pearson VUE online or test center (check the vendor page) |
What you’ll be tested on
The exam is designed for MLOps and generative AI operationalization. Domain coverage is published by the vendor and can change, so always confirm on the official exam page.
- Operationalizing machine learning workflows (check the vendor page, typically a substantial portion)
- Operationalizing generative AI solutions (check the vendor page)
- Monitoring, evaluation, and governance for AI solutions (check the vendor page)
- Security, compliance, and operational readiness (check the vendor page)
Prerequisites
- Relevant experience building and operating machine learning/AI solutions in production.
- Familiarity with Azure AI services and MLOps concepts (pipelines, CI/CD, monitoring, deployment lifecycle).
- Basic understanding of machine learning model management and evaluation.
Recertification cycle
This is a Microsoft role-based credential exam; retake/reuse rules follow Microsoft certification lifecycle policy. Check the Microsoft certification page for current recertification guidance.
Realistic study time
Most candidates plan 6–12 weeks of prep depending on experience, focusing heavily on MLOps workflows, deployment, monitoring, and evaluation.
Career value and job roles
Microsoft AI-300 (Operationalizing Machine Learning and Generative AI Solutions) maps to MLOps execution in production environments. It’s most valuable for roles like:
- MLOps Engineer / Machine Learning Operations Engineer (hands-on operationalization)
- AI Engineer (Azure AI) specializing in model deployment, monitoring, and governance
- Senior Data Scientist transitioning into production ML/GenAI operations
You should be comfortable with end-to-end delivery: from training/artifacts to deployment, observability, and continuous improvement of ML/GenAI systems.
Prepare before you book
Start by matching your skills to the published exam domains and doing hands-on practice. Use our free practice hub here: free mock exams.
If you pass a mock exam, you unlock extra voucher discounts on eligible ITExamDeals offers.
Common mistakes to avoid
- Waiting to schedule until after you finish reading: book early so you can study against the real timeline.
- Skipping MLOps fundamentals (CI/CD for ML, artifact management, model/version governance).
- Overfocusing on model training while neglecting monitoring, evaluation, and operational controls.
- Not reviewing the latest domain breakdown and delivery details directly on the vendor page.
- Relying on “study-to-pass” guesswork instead of practicing operational tasks and decision points.