Microsoft AI-300 (Operationalizing Machine Learning and Generative AI Solutions) is a Microsoft certification exam focused on MLOps practices for deploying, monitoring, and improving machine learning and generative AI solutions. This official exam voucher gives you vendor exam credit that you redeem through the Microsoft/Pearson VUE scheduling workflow to schedule your test.
What this exam voucher includes
- 1 official exam voucher credit for Microsoft exam AI-300
- Voucher redemption instructions for the Microsoft/Pearson VUE scheduling portal
- Your unique voucher/booking redemption code (issued after payment is confirmed)
- Country/region guidance for Sweden availability
- Support in chat on delivery timing and how to book after redemption
Exam voucher price and what affects it
This AI-300 voucher is discounted by ITExamDeals.
| Price item | Amount |
|---|---|
| Regular price (context) | $165 USD |
| Selling price (your purchase) | $39 USD |
Final cost can vary based on:
- Vendor-controlled voucher availability for the destination country/region
- Promo pricing at the time of purchase
- Exam edition/access channel (Microsoft/Pearson VUE scheduling)
Validity, expiry and rescheduling
Voucher credits are redeemable within the validity window set by Microsoft for the issued voucher code. Expiry dates and any rescheduling rules are vendor-controlled and can’t be overridden by ITExamDeals. If you need to change your exam date after booking, rescheduling must be done in the scheduling portal and any vendor deadlines apply.
How delivery and redemption work
- After you purchase, ITExamDeals delivers the voucher over WhatsApp or Telegram.
- Delivery happens after payment is confirmed.
- You receive the voucher code plus short redemption guidance.
- You redeem the code in the Microsoft/Pearson VUE scheduling portal and book your preferred exam date (subject to availability).
- If your voucher expires or is restricted by the vendor window, you may be unable to book—check the vendor’s voucher details once issued.
Exam format at a glance
The Microsoft AI-300 exam tests applied MLOps and operationalization skills for machine learning and generative AI.
| Item | Details |
|---|---|
| Exam code | AI-300 |
| Question count | check the vendor page |
| Duration | check the vendor page |
| Passing score | check the vendor page |
| Exam language(s) | typically English (check the vendor page for your region) |
| Delivery options | Pearson VUE testing (online/proctored or test center) — check the vendor page |
What to expect
- Question formats typically include scenario-based and hands-on style validation of operational knowledge.
- You should be comfortable mapping real-world MLOps tasks to Microsoft tooling and lifecycle concepts.
Weighted domains (percentages)
Domain weights can vary by exam version. Use these as a guide and check the vendor page for the latest breakdown:
- Domain 1: Operationalizing ML/GenAI solutions (MLOps lifecycle concepts) — check the vendor page |
- Domain 2: Build and deploy production pipelines — check the vendor page |
- Domain 3: Monitor, manage, and improve model performance — check the vendor page |
- Domain 4: Govern and secure AI/ML operations — check the vendor page |
Prerequisites
Microsoft doesn’t always require a hard prerequisite certificate for AI-300, but you should have practical experience with:
- Deploying ML/GenAI solutions
- Data and pipeline concepts
- Operational monitoring/management practices
Recertification cycle and realistic study time
Microsoft exams generally focus on current tooling and practices. Plan for ongoing updates to content and tools over time. Realistic prep time varies, but many candidates need several weeks of focused study and practice to reach exam readiness—adjust based on your hands-on background.
Career value and job roles
This AI-300 voucher helps you pursue skills aligned to MLOps and applied AI engineering roles, such as:
- MLOps Engineer (mid-level) building production ML/GenAI pipelines
- AI Engineer / Applied ML Engineer operationalizing models and improving reliability
- Machine Learning Engineer moving from research/prototyping into governed production workflows
If you already work with deployment and automation, AI-300 is a strong step toward demonstrating operational competence for enterprise GenAI adoption.
Prepare before you book
Before you schedule AI-300, practice with realistic questions and workflows. Start with our free practice hub: free mock exams. Passing a mock exam unlocks extra voucher discounts, helping you save while you validate readiness.
Common mistakes to avoid
- Booking too early: study for the operational “how,” not just the definitions.
- Ignoring governance/security topics: production MLOps requires guardrails.
- Treating MLOps as only deployment: monitoring, feedback loops, and lifecycle management matter.
- Not practicing with real scenarios: scenario-based questions reward applied reasoning.
- Skipping the vendor’s current exam details: domain weights and logistics can change—verify before you schedule.