Microsoft AI-300 is the certification exam for Operationalizing Machine Learning and Generative AI Solutions (MLOps Engineer). This official exam voucher lets you redeem a genuine vendor exam credit in the Microsoft/Pearson VUE scheduling portal, then select your exam date.
What this exam voucher includes
- An official Microsoft exam voucher code for Exam AI-300 (Operationalizing Machine Learning and Generative AI Solutions)
- Voucher redemption instructions for the Microsoft/Pearson VUE scheduling portal
- Support in chat to confirm your order details and voucher code delivery
- Country availability guidance for Kyrgyzstan
- Help coordinating your booking after redemption
Exam voucher price and what affects it
This voucher is discounted by ITExamDeals.
| Price context | Amount |
|---|---|
| Regular price | $165 |
| ITExamDeals selling price | $39 |
Your final voucher value can be affected by vendor credit availability, voucher supply, country/region scheduling rules, and exam booking demand. The voucher itself is an official exam credit redeemed in the vendor scheduling portal—your scheduling options depend on Pearson VUE availability in your selected location.
Validity, expiry and rescheduling
Voucher credits are issued with vendor-controlled validity. The exact expiry date is tied to the voucher and is shown/confirmed during redemption or in your voucher materials (follow the vendor instructions exactly). Rescheduling is handled by Pearson VUE rules after you book—any vendor-imposed windows or restrictions apply to your specific voucher/booking.
How delivery and redemption work
- You place your order with ITExamDeals for the AI-300 voucher for Kyrgyzstan.
- After payment is confirmed, we deliver the voucher code via WhatsApp or Telegram.
- You redeem the code in the Microsoft/Pearson VUE scheduling portal to create or update your exam booking.
- You choose your test center or remote testing option (where available) and select an exam date/time.
- If you need changes, you must follow the rescheduling policy for your already-booked Pearson VUE appointment.
Exam format at a glance
AI-300 tests your ability to operationalize machine learning and generative AI solutions using MLOps practices. Microsoft exams are delivered through 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 |
Weighted domains (what you should expect)
Domain weightings can change by exam update. Use Microsoft’s published exam skills outline as the source of truth. Typical coverage includes:
- Design and implement MLOps pipelines and workflows — check the vendor page (often a major portion)
- Operationalize, deploy, and manage ML/GenAI models — check the vendor page
- Monitoring, reliability, and governance for ML/GenAI in production — check the vendor page
- Security and responsible operations for AI workloads — check the vendor page
Prerequisites
Microsoft typically expects you to be comfortable with:
- Core ML concepts and model lifecycle thinking
- Data/feature pipelines, training and deployment basics
- Practical cloud operations and monitoring
Recertification cycle
Microsoft certification policies can change. For the most accurate renewal or continuing-education requirements, check the official Microsoft credential details tied to this exam.
Realistic study time: most working candidates plan 4–8 weeks depending on hands-on MLOps experience and how quickly you can practice lab-style tasks.
Career value and job roles
The Microsoft AI-300 skills map directly to day-to-day work as an MLOps Engineer. This also benefits:
- ML Engineers moving into production operations (junior-to-mid)
- Data/AI Platform Engineers who ship pipelines, monitoring, and deployment automation
You’ll focus on operationalizing ML and generative AI solutions—turning experiments into reliable production systems with governance, monitoring, and repeatable releases.
Prepare before you book
Before you redeem and book, confirm your target exam date and practice the specific MLOps and GenAI operational tasks that match the AI-300 skills outline.
Use our free practice hub to build confidence: free mock exams. Passing a mock exam unlocks extra voucher discounts, so it’s also a smart way to reduce your overall exam cost.
Common mistakes to avoid
- Waiting to study until after redemption: if you miss the right prep window, you’ll be forced to rush scheduling.
- Focusing only on training ML and ignoring production operations (monitoring, reliability, governance).
- Skipping the vendor’s exam skills outline: domain coverage is test-focused.
- Not validating your availability for Kyrgyzstan/Pearson VUE booking before you commit.
- Not practicing end-to-end workflows: AI-300 expects operational thinking, not isolated knowledge.