Microsoft AI-300 is the official exam for Operationalizing Machine Learning and Generative AI Solutions, mapped to Microsoft Certified: Azure AI Engineer Associate. With this voucher, you receive a genuine vendor exam credit code that you redeem to schedule the exam through the Microsoft or Pearson VUE booking flow.
What this exam voucher includes
- 1 official Microsoft exam voucher code for AI-300 (Operationalizing Machine Learning and Generative AI Solutions)
- Redemption instructions for scheduling the exam date in the vendor or Pearson VUE portal
- Country/region eligibility guidance for Georgia (as provided in order confirmation)
- Support in chat (WhatsApp or Telegram) to help you redeem the code and proceed to booking
- Order reference details so you can track your purchase in delivery
Exam voucher price and what affects it
Your voucher is discounted by ITExamDeals from the regular price of $165 USD to a selling price of $38 USD. The total you pay can vary based on factors such as country/region availability (this listing is for Georgia), vendor policy changes, and current promotional pricing.
Price at a glance
| Item | Amount |
|---|---|
| Regular price | $165 USD |
| Selling price (ITExamDeals) | $38 USD |
Validity, expiry and rescheduling
Microsoft exam vouchers are subject to vendor-controlled validity. After issuance, the voucher code may expire on the vendor’s schedule. You should also confirm the exact booking window in the vendor or Pearson VUE scheduling portal after redemption.
Rescheduling is typically allowed only within the vendor’s permitted windows, and the vendor may require you to cancel and rebook your appointment. If you need to change your exam date, do it as early as possible and follow the rescheduling options shown during booking.
How delivery and redemption work
- Pay for the voucher after you confirm ordering details in chat.
- Delivery is sent over WhatsApp or Telegram after payment is confirmed.
- You receive the voucher code (and any needed redemption notes tied to your order).
- Redeem the code in the Microsoft or Pearson VUE exam scheduling portal.
- Choose an exam date and complete booking.
Voucher redemption is handled by the vendor/Pearson VUE scheduling system, so any scheduling limitations, seat availability, or regional constraints are controlled there.
Exam format at a glance
Microsoft AI-300 assesses your ability to operationalize machine learning and generative AI solutions in real Azure scenarios. The exam is delivered online and uses question types that may include scenario-based evaluation.
Key details vary by delivery setup, language selection, and vendor updates. Use the table below as a quick guide, and check the vendor page after redemption for the exact figures.
| 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 and other options may be available (check the vendor page) |
Domains (weighted)
Domain weights are controlled by Microsoft and can change. Typically, the exam covers operationalizing ML/GenAI solutions, including deployment, monitoring, evaluation, and responsible practices. For the latest percentages, check the vendor page; commonly referenced areas include:
- Operationalize ML solutions and workflows (check the vendor page)
- Operationalize generative AI solutions (check the vendor page)
- Monitoring, evaluation, and model lifecycle management (check the vendor page)
- Security, governance, and responsible AI considerations (check the vendor page)
Prerequisites
You should be comfortable with Azure concepts and have practical skills in areas such as:
- Working with machine learning and generative AI workloads
- Using Azure services for deployment and management
- Understanding model evaluation and production readiness concepts
There is no single universal prerequisite exam listed for every candidate, but Microsoft expects relevant hands-on experience.
Recertification cycle / continuing compliance
Microsoft certification and exam policies can evolve. The exam itself does not “expire” in the same way as training, but your certification status may depend on program policies. Always check the certification program page and Microsoft’s current policy for the applicable recertification or renewal timeline.
Realistic study time
Most candidates plan:
- 4–8 weeks with consistent study if you already have Azure ML/GenAI experience
- 8–12+ weeks if you are building these skills from fundamentals
Career value and job roles
This voucher helps you target roles where you operationalize models and generative AI systems in production environments. AI-300 aligns with job responsibilities such as:
- Azure AI Engineer (mid-level) designing deployments, monitoring, and lifecycle management
- Machine Learning Engineer responsible for ML operations and model governance
- GenAI/Applied AI Engineer implementing evaluation, safety controls, and operational pipelines
For seniority, it’s commonly pursued by professionals who can already build solutions and now need to demonstrate production-grade operationalization skills.
Related technologies you’ll typically encounter while preparing include Azure Machine Learning, model deployment patterns, evaluation/monitoring practices, and governance concepts for responsible AI.
Prepare before you book
Start by aligning your study plan to the exam’s domain themes. Then validate your readiness.
- Use free mock exams to benchmark your knowledge before you schedule.
- Passing a mock exam can unlock extra voucher discounts through ITExamDeals promotions (when available).
A strong approach is to focus on operationalization tasks: how models are packaged, deployed, monitored, evaluated, and improved over time—especially when generative AI behavior must be measured and governed.
Common mistakes to avoid
- Waiting to study until after you buy the voucher; schedule a plan first so you don’t rush at the last minute.
- Focusing only on theory. AI-300 expects operational thinking: deployment, monitoring, evaluation, and production constraints.
- Ignoring governance and responsible AI considerations; these can show up in scenario questions.
- Not checking the latest exam details after voucher redemption. Vendor portals can update formats, policies, and language options.
- Missing rescheduling windows. If you change your plan, contact the scheduling flow early and follow vendor rules.
- Overlooking Azure service specifics. Practical knowledge of how Azure services support operationalization is essential.