Microsoft AI-300 is the exam for operationalizing machine learning and generative AI solutions, focused on MLOps engineering skills. This official exam voucher gives you vendor exam credit to schedule and take Microsoft AI-300 using the approved vendor/Pearson VUE exam booking flow.
What this exam voucher includes
- One official Microsoft AI-300 exam voucher code/credit for scheduling the exam.
- Voucher redemption instructions sent after payment confirmation.
- Eligibility support for Eswatini-based ordering (buyer-side steps are still required).
- Access to booking guidance for choosing your exam date/time.
- Clear terms on expiry and rescheduling controlled by the vendor.
- A single voucher per exam attempt (no bundle implied).
Exam voucher price and what affects it
The regular price is $165 and the discounted selling price is $39 USD. Voucher pricing can vary based on vendor/region availability, promotional inventory, and how/where the voucher can be redeemed in the scheduling portal.
| Item | Amount |
|---|---|
| Regular price | $165 |
| ITExamDeals selling price | $39 |
Validity, expiry and rescheduling
Voucher validity and any expiry date are controlled by Microsoft and the voucher credit terms shown during redemption/booking. If the voucher expires, you may not be able to schedule the exam using that code. Rescheduling windows (for example, how soon you can change dates) are also set by the vendor and the booking system, so your booking confirmation details matter.
How delivery and redemption work
After you complete payment, we deliver the official voucher code/credit using WhatsApp or Telegram. You then redeem the code in the approved scheduling portal to select your exam date.
Typical workflow:
- Receive voucher code/credit after payment is confirmed in chat.
- Redeem the voucher in the vendor or Pearson VUE scheduling portal.
- Choose your exam date, time zone, and test location/options that appear for your region.
- Complete check-in and exam appointment requirements as shown in your booking confirmation.
Exam format at a glance
Microsoft AI-300 is delivered as a proctored, scheduled certification exam. Expect scenario-based questions that test your ability to design and operationalize ML and generative AI pipelines.
| 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 (check the vendor page) |
Domain coverage (percentages)
Domain weights can vary by version. Use the domain list below as your planning reference, and confirm exact weights in the vendor exam guide:
- Implement and manage MLOps workflows (check the vendor page)
- Operationalize generative AI solutions (check the vendor page)
- Evaluate, monitor, and improve ML/GenAI in production (check the vendor page)
Prerequisites
You should be comfortable with:
- Building and deploying machine learning solutions on Azure.
- Containerization concepts and CI/CD fundamentals.
- Working with ML lifecycle components (training, deployment, monitoring).
- Familiarity with generative AI solution patterns and evaluation.
Recertification cycle and realistic study time
Microsoft certifications generally have a renewal/retake expectation based on the latest certification lifecycle and exam updates. Plan to complete the exam within the validity window of your current voucher/credit. Realistic study time for many candidates is often 6–12 weeks depending on Azure experience and hands-on MLOps practice (confirm your personal baseline).
Career value and job roles
This Microsoft AI-300 voucher targets the MLOps Engineer track, where you operationalize ML models and generative AI systems into reliable production services. It is especially relevant for:
- MLOps Engineers (mid-level) who build CI/CD, deployment, and monitoring for ML/GenAI.
- Azure AI Engineers who integrate ML and GenAI into scalable cloud applications.
Skills you demonstrate align to real-world tasks like production deployment, monitoring, evaluation, and lifecycle management—helpful for roles working with Azure ML, data pipelines, and operational governance.
Prepare before you book
Start with the official exam objectives, then build hands-on practice around deployment, operational monitoring, and evaluation.
Use our study support: free mock exams. Taking a passing mock exam helps unlock extra voucher discounts on eligible offers.
Common mistakes to avoid
- Waiting to start until after you book: use objectives first, then book once you know your weak areas.
- Focusing only on model training: AI-300 emphasizes operationalization (deployment, monitoring, evaluation, and MLOps workflows).
- Ignoring generative AI evaluation and safety/quality considerations: these often appear in scenario-based items.
- Skipping Azure-native MLOps concepts: CI/CD, orchestration, logging/monitoring, and reliable release processes matter.
- Not checking voucher terms before scheduling: expiry and rescheduling rules can limit your ability to change the exam date.
- Overrelying on memorization: practice with scenario questions and refine your approach to real production constraints.