Microsoft AI-300 is the exam for Operationalizing Machine Learning and Generative AI Solutions (MLOps Engineer). This voucher is an official exam credit you redeem in the vendor scheduling portal to get a confirmed exam booking.
What this exam voucher includes
- A genuine Microsoft exam voucher code (official exam credit).
- Booking eligibility for the AI-300 exam (subject to the vendor’s scheduling availability).
- Redemption instructions after payment confirmation via chat.
- Country-specific voucher handling for Liberia in the ordering flow.
- Support in messaging until you receive your code and can redeem it.
Exam voucher price and what affects it
This AI-300 voucher is discounted by ITExamDeals from a regular price of $165 to a selling price of $39 (USD).
Prices can vary for several reasons:
- Vendor/region availability: some exam credits are issued and priced based on region.
- Promotions and bulk sourcing: reseller discounts can change over time.
- Taxes and banking costs: depending on how you pay, payment processing may affect the final amount due.
A voucher is typically the best option if you want to lock in exam credit now and schedule your exact date later (subject to vendor rules and availability).
| Item | Value |
|---|---|
| Regular price | $165 |
| Selling price | $39 |
| Currency | USD |
Validity, expiry and rescheduling
The voucher’s validity and expiry rules are controlled by Microsoft/Pearson VUE once issued. You must redeem within the vendor-controlled time window shown for the voucher during redemption.
Rescheduling is also governed by the vendor after you book. You can normally choose a later slot through the scheduling portal, but the vendor sets the rescheduling windows and cutoff times.
If you need to reschedule after booking, follow the vendor’s “Manage exam” flow in the portal connected to your account. If you miss the cutoff or fail to show up, consequences apply (see Terms below).
How delivery and redemption work
- Order through ITExamDeals for Liberia after you confirm you’re eligible to redeem in your region.
- After payment is confirmed, ITExamDeals delivers your voucher code via WhatsApp or Telegram.
- Redeem the code in the Microsoft/Pearson VUE scheduling portal to link it to your account.
- Book your exam date based on available time slots.
- Take the exam at the scheduled time, using the approved sign-in/ID process required by the vendor.
Important: The voucher is an exam credit. It does not automatically schedule the exam until you redeem and book a time in the scheduling portal.
Exam format at a glance
This page is for Microsoft AI-300 — Operationalizing Machine Learning and Generative AI Solutions (MLOps Engineer). Below is what you should expect; where a detail can vary by administration, it’s marked check the vendor page.
| Spec | Details |
|---|---|
| Exam code | AI-300 |
| Question count | check the vendor page |
| Exam duration | check the vendor page |
| Passing score | check the vendor page |
| Languages | check the vendor page |
| Delivery options | Pearson VUE test center and/or online proctoring: check the vendor page |
Exam structure (high level)
You’ll be tested on practical MLOps concepts for operating machine learning and generative AI solutions end-to-end—how models move from experimentation to deployment, how you manage versions, and how you monitor and govern performance over time.
Prerequisites
No single universal prerequisite guarantees readiness, but Microsoft expects familiarity with:
- Building ML workflows (training, evaluation concepts)
- Deploying solutions and using cloud services
- Versioning, automation, and operational monitoring
If you’re new to MLOps, it helps to first build a foundation in Azure AI concepts and then focus on operationalization topics.
Career value and job roles
An AI-300 voucher can support your path into roles focused on productionizing and operating ML and generative AI workloads. Common job titles include:
- MLOps Engineer (mid-level and senior): shipping reliable pipelines, managing model lifecycle, and maintaining deployments.
- AI Engineer / Applied AI Engineer: bridging experimentation with production and integrating monitoring, governance, and CI/CD.
- ML Platform Engineer (senior-focused): designing scalable platforms for training, deployment, and operations.
This exam is aligned with real-world responsibilities such as:
- Orchestrating end-to-end ML/GenAI pipelines
- Managing deployment strategies and model/version rollouts
- Monitoring data drift, model performance, and operational health
- Applying operational controls and platform practices for production systems
Prepare before you book
Before you redeem and book, you should confirm you’re comfortable with the full scope of operational MLOps work for machine learning and generative AI solutions. Build a plan that matches how you learn:
- Review Microsoft’s learning objectives for AI-300.
- Practice the operational workflows you expect to use in real environments (pipeline concepts, deployment lifecycle, monitoring, and governance).
- Use short, repeated practice sessions so you can spot gaps quickly.
Use our free preparation resource: free mock exams. When you pass a mock exam, you unlock extra voucher discounts, helping you continue building your certification path.
Common mistakes to avoid
- Waiting too long to redeem: voucher credits can expire based on vendor rules.
- Studying only ML theory: AI-300 emphasizes operationalization and how systems run in production.
- Ignoring generative AI specifics: make sure you can connect GenAI considerations to deployment, monitoring, and governance.
- No practice with workflows: review concepts, then validate them through practice and scenario-based questions.
- Forgetting vendor policies: rescheduling windows and no-show consequences are set by the vendor.
- Booking without a schedule plan: choose a date when you can complete focused review and practice ahead of time.