Microsoft AI-300 exam voucher gets you official exam credit for the Operationalizing Machine Learning and Generative AI Solutions (MLOps Engineer) test. After you redeem the voucher code in the vendor scheduling portal, you can select an exam date and complete your Microsoft certification assessment.
What this exam voucher includes
- Official Microsoft exam voucher credit for AI-300
- Voucher code you redeem in the vendor scheduling portal (Microsoft/Pearson VUE)
- Redemption and booking guidance for selecting your exam appointment
- Support in WhatsApp/Telegram to confirm your code after payment is verified
- Information on next steps: scheduling, rescheduling, and exam day readiness
- Country-specific handling for Kenya buyers (voucher availability and booking region depend on vendor settings)
Exam voucher price and what affects it
This voucher is discounted by ITExamDeals. Your provided pricing context is:
| Price type | Amount | Currency |
|---|---|---|
| Regular price | 165 | USD |
| Selling price | 39 | USD |
The final voucher price can be affected by factors set outside the reseller’s control, including Microsoft/Pearson VUE pricing and regional eligibility rules. Also, vendor policies determine whether a voucher can be scheduled immediately or requires specific appointment windows.
Validity, expiry and rescheduling
Voucher validity and expiry are controlled by the vendor. Once issued, the voucher is subject to the expiration timeline shown in the vendor scheduling portal or confirmed in the voucher terms.
Rescheduling is allowed only within the windows and rules set by Microsoft/Pearson VUE for your appointment. If you miss the appointment or cancel outside the allowed window, the vendor may treat it as a no-show.
How delivery and redemption work
- Place your order and confirm the order reference.
- After payment is confirmed, we send the voucher details via WhatsApp or Telegram.
- You redeem the voucher code in the Microsoft/Pearson VUE scheduling portal.
- Schedule your AI-300 exam date and select your delivery/center options available in your region.
- Keep your appointment details for exam day.
Exam format at a glance
Use the table below to plan your booking and preparation. Where a figure is not confirmed here, the page instructs you to check the vendor page.
| Exam code | Questions | Duration | Passing score | Languages | Delivery options |
|---|---|---|---|---|---|
| AI-300 | check the vendor page | check the vendor page | check the vendor page | English | Pearson VUE exam scheduling (region-dependent); check options in the portal |
Exam structure (what you can expect)
- Multiple-choice and scenario-based items testing practical MLOps and GenAI operations
- You’ll demonstrate knowledge of operationalizing ML/GenAI solutions across design, deployment, monitoring, and lifecycle management
Weighted domains (high level)
Exact percentages can change by vendor update. Plan using these common themes and check the vendor page for current weights:
- Machine learning operations and pipelines (≈ check the vendor page)
- Operationalizing generative AI solutions (≈ check the vendor page)
- Monitoring, evaluation, and governance (≈ check the vendor page)
- Security, reliability, and responsible AI practices (≈ check the vendor page)
Prerequisites
Microsoft certifications typically expect foundational knowledge of Azure and applied ML/GenAI workflows. You should be comfortable with:
- Azure data and compute fundamentals
- Core ML concepts (training/inference, deployment patterns)
- Working knowledge of ML pipelines and operational concerns (observability, evaluation)
Recertification / currency
Microsoft certification/role program requirements can change over time. Your voucher covers the exam you schedule. For maintaining certification currency and renewal requirements, review the latest Microsoft guidance for the relevant certification track.
Realistic study time
Most candidates need several weeks of focused preparation, depending on experience with MLOps and GenAI engineering. If you’re already working with ML deployment and monitoring in Azure, you may need less time; if you’re transitioning from theory, plan more.
Career value and job roles
This AI-300 voucher is ideal if you’re targeting roles such as MLOps Engineer, Azure AI Engineer, or Machine Learning Engineer (Operations). It helps validate your ability to operationalize machine learning systems and generative AI applications, including end-to-end concerns such as deployment, monitoring, evaluation, and governance. It’s also useful for senior ICs and architects who need to demonstrate applied operational excellence with Azure-based ML and AI services.
Prepare before you book
Start with a structured prep plan. Before you spend time scheduling, practice under exam-like conditions. Use our prep resource:
Taking a passing mock exam helps unlock extra voucher discounts for eligible buyers.
Common mistakes to avoid
- Booking without verifying language/region options in the scheduling portal for Kenya.
- Skipping operational topics (monitoring, evaluation, governance). Many candidates focus only on model building.
- Underestimating GenAI operational differences (prompt/versioning, evaluation, and safety/quality workflows).
- Not reading the latest exam guide from the vendor, especially if domains or weights update.
- Leaving rescheduling too late—plan ahead so you stay within vendor-controlled windows.