Microsoft AI-300 is an official exam voucher for the MLOps Engineer track: Operationalizing Machine Learning and Generative AI Solutions. After you pay, ITExamDeals delivers a genuine voucher code that you redeem in the Microsoft/Pearson VUE scheduling portal to book your exam.
What this exam voucher includes
- One (1) official Microsoft AI-300 exam voucher credit (voucher code)
- Redemption instructions for the Microsoft/Pearson VUE booking flow
- Voucher/booking details shared securely via WhatsApp or Telegram after payment confirmation
- Support on voucher redemption steps (non-technical, booking-focused)
- Country eligibility guidance for Kiribati (based on vendor rules)
- Clear “next steps” to schedule and prepare before your exam date
| Item | Included in this voucher |
|---|---|
| Exam code | AI-300 |
| Voucher type | Official vendor exam credit (redeemable for scheduling) |
| Delivery | WhatsApp or Telegram after payment confirmation |
| Scheduling portal | Microsoft or Pearson VUE exam booking |
| Candidate region | Kiribati (subject to vendor availability) |
Exam voucher price and what affects it
ITExamDeals offers this Microsoft AI-300 voucher at a discounted selling price of $39 USD (regular price $165 USD). The discount you receive is driven by reseller sourcing and the vendor’s current voucher availability for your region.
Factors that can affect the final cost:
- Vendor voucher pricing and distribution for the exam and region
- Current reseller discount availability
- Timing of your purchase (availability can change)
Value to you: you pay less while still receiving a genuine exam voucher code that you redeem with the exam vendor for a scheduled exam appointment.
Validity, expiry and rescheduling
Your voucher credit has a vendor-controlled validity period. You must redeem and schedule your exam within the expiry window shown on your voucher/booking documentation.
If you need to change your exam date, rescheduling is controlled by the vendor’s scheduling rules (the portal you book with). Rescheduling windows, cutoffs, and any fees are determined by Microsoft/Pearson VUE policies and the appointment status.
How delivery and redemption work
- Choose Kiribati (your country/region) and place the order with ITExamDeals.
- After payment is confirmed, ITExamDeals sends you the voucher code and booking guidance via WhatsApp or Telegram.
- Redeem the code in the Microsoft or Pearson VUE scheduling portal to create your exam booking.
- Select your exam date and location/online options offered in the portal for your account.
- Keep your confirmation details; your appointment is managed by the vendor after redemption.
Important: delivery happens by chat delivery (WhatsApp or Telegram). Do not expect a physical voucher card.
Exam format at a glance
Microsoft AI-300 measures your ability to operationalize machine learning and generative AI using MLOps practices. The exact number of questions, duration, and passing score should be confirmed in the official vendor exam page and in your scheduling portal at booking time.
Key exam logistics:
- Exam code: AI-300
- Main skills: designing, implementing, and operating ML systems and GenAI solutions with MLOps
- Question format and scoring: check the vendor page for the most up-to-date details
| Exam code | Questions | Duration | Passing score | Languages | Delivery options |
|---|---|---|---|---|---|
| AI-300 | check the vendor page | check the vendor page | check the vendor page | English (typically) | online/in-venue varies; check the vendor page |
Career value and job roles
This Microsoft AI-300 exam is designed for people building and running production-grade ML and GenAI workflows—especially where reliability, governance, deployment automation, monitoring, and lifecycle management matter.
Target job roles:
- MLOps Engineer (mid-level to senior): you operationalize ML/GenAI pipelines end-to-end
- Machine Learning Engineer focused on production systems: you move models from experimentation to durable services
- AI/ML Platform Engineer (where MLOps is core): you manage CI/CD, monitoring, and quality gates for AI workloads
Typical prerequisite skills you should already have:
- Core ML concepts (training/inference, evaluation, model versioning)
- Practical familiarity with deployment pipelines and operational monitoring
- Basic understanding of GenAI application concepts and safety/governance considerations
Recertification cycle: certification maintenance and renewal rules are governed by Microsoft policy. Verify any renewal cycle requirements on the official Microsoft certification and exam pages.
Realistic study time: many candidates plan ~6–10 weeks with focused practice (adjust based on experience and time per week). A structured approach plus hands-on lab practice is usually more effective than reading alone.
Prepare before you book
Before you redeem your voucher and lock your date, prepare with targeted practice.
Start with our free practice hub: free mock exams. Take a mock exam to validate your readiness. If you score well on a passing mock exam, you unlock extra voucher discounts through ITExamDeals promotions tied to those mock results.
Then:
- Review the AI-300 objectives and map them to your existing work experience
- Practice scenario-based MLOps tasks (deployment, monitoring, CI/CD, evaluation, and operations)
- Confirm your booking option (online or in-venue) inside the vendor scheduling portal
Common mistakes to avoid
- Booking without reviewing the voucher validity window
- Assuming retakes are automatic—retake eligibility can require new voucher purchases depending on vendor rules
- Ignoring MLOps operations topics (monitoring, governance, model lifecycle) in favor of only training concepts
- Studying only general AI topics and missing operational details (versioning, deployment automation, evaluation gates)
- Waiting too long to schedule—popular appointment slots can become limited
- Not confirming the latest question format, duration, and languages in the official vendor exam page or your portal after redemption
