Expert Review: Exam Prep AI-102: Microsoft Azure AI Engineer Associate
By Prosun • December 21, 20254.8/5.0
Our Expert Verdict
Verdict: Exam Prep AI-102: Microsoft Azure AI Engineer Associate is unequivocally the leading program in its category for 2026. Our expert review team scored it a **4.8/5.0** for its comprehensive curriculum and direct career impact.
Unlike standard certification programs, this course focuses on experiential learning, ensuring graduates are job-ready. If you are serious about mastering Whizlabs, this is a definitive investment.
Enroll Now & Get Certified ↗What We Liked (Pros)
- Unmatched depth in Whizlabs methodology.
- Capstone project perfect for portfolio building.
- Taught by industry leaders from Whizlabs.
- Flexible learning schedule that fits professional life.
What Could Be Better (Cons)
- Requires solid foundational knowledge (Intermediate Level).
- Certification fee is higher than average.
Course Overview
This course, provided by Whizlabs, is characterized by its rigor and practical application focus. The curriculum covers essential concepts: The AI102: Designing and Implementing a Microsoft Azure AI Solution certification exam tests the candidate’s experience and knowledge of the AI solutions that make the most of Azure Cognitive Services and Azure services. In addition, the exam also tests the candidate's ability to implement this knowledge by participating in all phases of AI solutions development—from defining requirements, and design to development, deployment, integration, maintenance, performance tuning, and monitoring. Take this Designing and Implementing a Microsoft Azure AI Solution: AI102 exam and become a part of the futuristic world of Artificial Intelligence and grow your career by attaining Azure AI102 certification. Azure AI engineers have experience developing solutions that use languages such as Python or C# and should be able to use RESTbased APIs and software development kits (SDKs) to build secure image processing, video processing, natural language processing (NLP), knowledge mining, and conversational AI solutions on Azure. They should be familiar with all methods of implementing AI solutions. Plus, they understand the components that make up the Azure AI portfolio and the available data storage options. Azure AI engineers also need to understand and be able to apply responsible AI principles. contains 5+ hours of training videos. Learners could find a total of 90+ lectures in the training course with comprehensive coverage of all topics regarding the exam AI102: Designing and Implementing a Microsoft Azure AI Solution. These lectures are divided into 5 Modules and each module is further split into lessons. The entire course includes Assessments to validate knowledge checks of learners. Also, a set of Graded Questions is available at the end of every module. Module 1: Azure AI Solutions: Planning and Management Module 2: Image & Video Processing Solutions Module 3: Natural Language Processing (NLP) Solutions Module 4: Knowledge Mining Solutions Module 5: Conversational AI Solutions in Exam Prep AI102: Microsoft Azure AI Engineer Associate Course and advance your Azure AI Solution Workload skills with Microsoft Azure. This training course helps you develop your skills and knowledge in AIYou can start with fundamental certifications such as the AI900 exam. Once you gain command over all phases of AI solutions development, you are ready to start preparing for the AI102 exam. This AI102 course is mainly for those who need opportunities in various job roles such as Cloud Developers, Cloud Engineers, Solutions Architects, and Cloud Architects. By the end of , you will be able to pass the AI102 exam on the first attempt and master Designing and Implementing a Microsoft Azure AI Solution.
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