Prepare with Precision. Pass with Confidence.
Are you ready to become a certified Microsoft Azure AI Engineer Associate? The AI-102 certification validates your expertise in building, managing, and deploying AI solutions using Microsoft Azure’s powerful suite of cognitive services. But to earn this in-demand credential, you need more than theoretical knowledge—you need hands-on practice that mirrors the real exam. That’s where this course delivers.
Introducing the most comprehensive AI-102 Microsoft Azure AI Engineer Practice Tests Series available.
This course includes 6Â full-length practice exams, designed by experts to match the structure, scope, and difficulty of the actual Microsoft AI-102 exam. Each exam features 50 multiple-choice questions, for a total of 300 unique questions, each accompanied by in-depth explanations and references to Microsoft best practices.
Whether you’re preparing for your first certification attempt or fine-tuning your knowledge for a retake, this course ensures you walk into the test center with confidence.
Gururo is a PMI Authorized Training Partner
At-a-glance
Best for
- AI engineers
- Data scientists and engineers
- Cloud architects
- IT professionals
Why Gururo?
- Lowest Cost
- PMI Authorized Training Partner (ATP)
- 24*7 Support
- 365 days access
Course Details
- 6 full-length practice exams
- 300 challenging questions
- Detailed Explanation
- Certificate of Completion
Highlights
- Realistic Exam Simulation
- Aligned with industry demands
- Progress Tracking & Review option
- Unlimited Attempts
What You’ll Learn
- Assess your readiness for the AI-102: Microsoft Certified Azure AI Engineer Associate certification with realistic simulation-based practice tests.
- Master the structure, time constraints, and content areas of the AI-102 exam through 6 full-length practice tests.
- Evaluate your proficiency in implementing computer vision, NLP, and conversational AI solutions using Azure services.
- Strengthen your ability to manage and monitor Azure Cognitive Services effectively.
- Analyze real-world scenarios and choose optimal Azure AI tools and services to address business requirements.
- Improve your understanding of responsible AI practices, including model fairness, transparency, and security.
- Identify and address knowledge gaps with detailed answer explanations and rationales for each question.
- Build strategic thinking and confidence to tackle complex multi-step questions in the certification exam.
- Gain hands-on experience through repeated exposure to core concepts across vision, language, and conversation AI.
- Apply Microsoft-recommended practices to develop, deploy, and monitor AI models within the Azure ecosystem.
What’s included?
- 6 Full-Length Microsoft Certified Azure Mock Exams – 300 total questions designed to cover all critical aspects of the Microsoft Certified Azure exam.
- Unlimited Retakes – Practice as many times as needed to achieve mastery.
- Detailed Answer Explanations – Understand the reasoning behind each answer choice.
- Timed Exam Simulations – Develop speed and accuracy with real-world exam conditions.
- 365 Days Access – Study anytime, anywhere, with 365 Days Access.
Why choose this course?
- Understand how to plan, develop, and manage AI solutions with real-world questions
- Pinpoint and correct your weak areas before the real test
- Practice under timed conditions to simulate the actual exam experience
- Review and reinforce key AI-102 exam domains, including Computer Vision, NLP, and Conversational AI
- Receive instant feedback and detailed answer rationales to support deeper learning
US/Canada Toll Free : 1714-410-1010IND: 080-62178271
Course Requirements / Prerequisites
- Basic knowledge of Artificial Intelligence and Machine Learning concepts is helpful for understanding the exam topics.
- Familiarity with Microsoft Azure services such as Cognitive Services, Bot Service, and Azure Machine Learning is recommended.
- Hands-on experience implementing AI solutions in Azure will provide a significant advantage.
- Comfort with programming languages like Python or C# for developing AI solutions is beneficial.
- A working knowledge of NLP, computer vision, and conversational AI concepts will be useful.
- Understanding of model deployment, monitoring, and lifecycle management in Azure is expected.
- Prior exposure to secure and responsible AI development principles is valuable.
- Access to the Azure portal or sandbox environment to practice real-world scenarios is recommended.
- Willingness to review incorrect answers and learn from detailed explanations is essential for success.
- Determination to repeat the tests until achieving high scores will significantly improve certification readiness.
Who this course is for:
- AI engineers seeking to validate their skills and prepare effectively for the AI-102 certification.
- Data scientists and engineers aiming to demonstrate their ability to build AI solutions on Microsoft Azure.
- Software developers interested in transitioning into AI roles by mastering the Azure AI ecosystem.
- Cloud architects responsible for designing and deploying scalable AI solutions in enterprise environments.
- IT professionals looking to advance their careers by earning a recognized Microsoft certification.
- DevOps engineers tasked with supporting AI model lifecycle, deployment, and monitoring in production.
- Consultants and integrators needing to understand how to use Azure AI services for client implementations.
- BI analysts expanding their toolkit to include AI capabilities within Microsoft’s cloud platform.
- Technology team leads and managers ensuring their teams are certified and capable in cloud-based AI.
- Career changers and new entrants to AI who are dedicated to passing the AI-102 and starting a professional journey in cloud AI engineering.
