Microsoft AI-300 is the Operationalizing Machine Learning and Generative AI Solutions exam for the Microsoft Certified: Azure AI Engineer Associate certification. This official exam voucher lets you schedule and take the exam through the vendor’s exam booking system (Microsoft/Pearson VUE) after you receive your redeemable code.
What this exam voucher includes
- 1 official Microsoft AI-300 exam voucher (redeemable code/entitlement)
- Country-region availability confirmation for Madagascar (subject to vendor eligibility)
- Redemption instructions for booking the exam date
- Support via WhatsApp or Telegram for delivery after payment confirmation
- Clear guidance on rescheduling rules and expiry (vendor-controlled)
Exam voucher price and what affects it
Your listed pricing for this voucher is:
| Item | Price |
|---|---|
| Regular price | $165 USD |
| ITExamDeals discounted selling price | $38 USD |
Voucher pricing can vary based on vendor inventory, regional eligibility, and promotional availability. The exam delivery mechanism remains the same: you redeem the voucher in the official scheduling portal to book your test date.
What affects the total value you get from a voucher:
- How soon you can study and book (earlier booking can reduce rescheduling friction)
- Whether you need rescheduling (vendor windows may impact how many times you can adjust)
- Your readiness for both ML operationalization and generative AI solution evaluation
Validity, expiry and rescheduling
The voucher is vendor-controlled. Once issued, the redeemable code has an expiry date set by Microsoft/Pearson VUE. Rescheduling is also controlled by the vendor booking system and follows the applicable rescheduling window and rules for your scheduled exam.
If you don’t use the voucher by the expiry date, you may not be able to redeem it for another exam attempt. If you are unsure about your timing, plan your study so you can book a realistic exam date and only reschedule when necessary.
How delivery and redemption work
- Choose your country/region (Madagascar for this listing).
- After payment is confirmed, we deliver the voucher via WhatsApp or Telegram.
- You redeem the voucher code in the official Microsoft/Pearson VUE scheduling portal.
- During redemption, you select your exam location/format and book your exam date.
- After booking, follow your appointment details for check-in and exam-day instructions.
Important notes:
- The voucher does not “book” the exam automatically; it provides an entitlement/code that you redeem.
- Exact booking options (location/format, languages, and scheduling availability) depend on the vendor scheduling system.
Exam format at a glance
Microsoft AI-300 is a skills-focused exam designed to validate that you can operationalize machine learning and generative AI solutions.
| 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 | check the vendor page |
Domains and what you’ll be tested on
You should expect skills across the following types of tasks (exact weights can change; confirm in the vendor exam guide):
- Operationalize machine learning workflows (from training to deployment)
- Build and deploy solutions using Azure AI and related services
- Evaluate models and measure performance for real-world reliability
- Deploy generative AI solutions and manage safety, quality, and experimentation
- Use monitoring and lifecycle practices to keep solutions healthy over time
Prerequisites
No formal prerequisites are required by the vendor in the same way as “must-have” certifications, but the exam expects practical experience with:
- Machine learning concepts (training, evaluation, deployment)
- Working with Azure AI services and modern MLOps practices
- Using generative AI concepts such as prompt/response behavior and solution evaluation
Recertification cycle and realistic study time
This certification has an industry “keep current” expectation. Recertification and program policies are governed by Microsoft and may change over time—verify the latest guidance on the official certification page.
Realistic study time for most candidates:
- 6–12 weeks if you have hands-on Azure ML/MLOps experience
- 10–16 weeks if you are building skills from fundamentals
Career value and job roles
This voucher is ideal if you want to validate capability for roles that turn ML and GenAI from prototypes into reliable systems. Common target roles include:
- Azure AI Engineer (mid-level)
- Machine Learning Engineer (focused on deployment and monitoring)
- Data/ML Engineer working on MLOps pipelines
Typical prerequisite skills include practical experience with ML lifecycle concepts (data prep, evaluation, deployment) and working with Azure-based ML/AI services, plus the ability to evaluate solution quality for generative AI.
Prepare before you book
Start by mapping your preparation to the exam domains and building hands-on confidence. Use Microsoft’s official exam resources for the scope, then practice with scenarios that mirror operational constraints.
To support your schedule, use our free practice hub here: free mock exams. When you pass a mock exam, you unlock extra voucher discounts—helping you keep your certification plan cost-effective.
A practical prep plan:
- Week 1–2: Review exam guide and Azure ML/MLOps fundamentals
- Week 3–6: Build and evaluate sample ML deployment scenarios
- Week 7–9: Focus on monitoring, evaluation, and operational reliability
- Week 10–12: Practice with mock exams and tighten weak areas
Common mistakes to avoid
- Waiting too long to book: you can lose time to rescheduling windows set by the vendor.
- Studying only theory: the exam expects operational thinking (deployment, evaluation, monitoring).
- Ignoring generative AI evaluation: don’t treat GenAI as “prompt-only”—the exam tests solution quality considerations.
- Not practicing Azure workflows: use labs or guided practice for deployment and lifecycle tasks.
- Overconfidence from general ML knowledge: AI-300 is about operationalizing, not just building a model once.
- Skipping review of voucher terms: expiry and refund/non-refund rules are vendor-controlled.