Microsoft AI-300 is the official exam for Operationalizing Machine Learning and Generative AI Solutions (MLOps Engineer). This voucher is a genuine vendor exam credit you redeem to schedule your test on the Microsoft or Pearson VUE exam booking system.
What this exam voucher includes
- A discounted, official Microsoft AI-300 exam voucher code credited to your account at redemption time
- Clear redemption instructions for booking your AI-300 exam date
- Country-specific eligibility for Malaysia (subject to vendor scheduling availability)
- Delivery via WhatsApp or Telegram after payment confirmation
- Support in chat to help you complete voucher redemption and scheduling steps
- Voucher usage details (including expiry expectations and rescheduling constraints)
Exam voucher price and what affects it
ITExamDeals sells this AI-300 voucher at a discounted rate. For this listing, the regular price is $165 and the selling price is $39 (USD).
Voucher pricing can change based on:
- Vendor-controlled regional availability and scheduling policy
- Current discount offers applied by the reseller allocation
- Platform and booking network rules (Microsoft/Pearson VUE scheduling)
- Demand for the AI-300 exam and the specific country/region slot availability
| Item | Value |
|---|---|
| Regular price | $165 |
| Selling price (this listing) | $39 |
Validity, expiry and rescheduling
Your voucher is redeemable within the vendor’s validity window. Expiry and the exact rescheduling rules are controlled by the vendor scheduling system once the voucher code is issued and accepted.
If you need to adjust your appointment, you must do so inside the rescheduling windows allowed by the vendor. These rules can differ from exam to exam and can be influenced by the time remaining before your scheduled slot.
If you miss your scheduled time (no-show), the voucher may be lost depending on the vendor’s cancellation/no-show policy.
How delivery and redemption work
- Choose the country/region for your voucher (Malaysia for this product).
- Send your order reference to us on WhatsApp or Telegram.
- We confirm the final price and voucher details in chat.
- Pay for the voucher.
- After payment is confirmed, we deliver the voucher code on WhatsApp or Telegram.
Then you redeem it in the Microsoft or Pearson VUE exam scheduling portal to select your exam location/online option and book your date.
Exam format at a glance
Microsoft AI-300 focuses on operationalizing machine learning and generative AI solutions. Expect a skills-based assessment of your ability to design, implement, and run MLOps workflows.
| Detail | AI-300 (MLOps Engineer) |
|---|---|
| Exam code | AI-300 |
| Questions | check the vendor page |
| Duration | check the vendor page |
| Passing score | check the vendor page |
| Primary language(s) | English (check the vendor page) |
| Delivery options | Online / test center (check the vendor page) |
What’s assessed (domain areas)
The AI-300 exam typically maps to operational MLOps competencies across ML and GenAI lifecycle activities. Exact domain weights are vendor-controlled; use these as a planning guide and verify on the official exam page.
- Build and deploy production ML pipelines and services (check vendor page for %)
- Operationalize LLM/GenAI solutions and orchestration patterns (check vendor page for %)
- Monitor, troubleshoot, and manage reliability and performance (check vendor page for %)
- Manage model lifecycle, evaluation, and governance practices (check vendor page for %)
Prerequisites
A strong background in ML/GenAI engineering and MLOps concepts is recommended, including working knowledge of Azure AI services and deployment/monitoring fundamentals. If you’re new to MLOps, complete foundational training first.
Recertification cycle and realistic study time
Microsoft professional certifications generally follow vendor policies for renewal and updates. Plan on studying to match current exam objectives and consider re-checking the exam outline before you book.
Realistic study time for many candidates is typically 6–10 weeks with hands-on lab practice, depending on your background and how much time you can dedicate each week.
Career value and job roles
This voucher is aimed at professionals building and running ML/GenAI systems in production—especially where reliability, governance, and operational excellence matter.
Common target roles include:
- MLOps Engineer (mid-level to senior) who deploys and maintains ML and LLM-based solutions
- AI/ML Engineer specializing in production pipelines and model operations
- Cloud ML Engineer working with Azure data, evaluation, monitoring, and deployment workflows
If you work with CI/CD for models, environment configuration, monitoring/alerting, and iterative evaluation of ML/GenAI outputs, AI-300 is a strong validation step.
Prepare before you book
Start by learning the official skills outline for AI-300 and then validate your readiness.
Use our free practice hub here: free mock exams. Take a mock exam to confirm your weak areas and improve your recall of MLOps and GenAI operational patterns. Passing a mock exam unlocks extra voucher discounts on eligible offers.
Practical preparation works best: build sample pipelines, evaluate model/LLM outputs, and practice troubleshooting monitoring signals and deployment issues.
Common mistakes to avoid
- Only studying theory: AI-300 tests applied MLOps and operational decision-making.
- Ignoring evaluation and monitoring: many candidates focus on deployment but underprepare for ongoing operations.
- Skipping hands-on practice with Azure AI concepts: familiarize yourself with the end-to-end workflow.
- Waiting too long after a first pass of study: use mock exams to find gaps and close them.
- Booking without verifying the current exam outline: objectives and domain emphases can change over time.