Azure AI Engineer Associate Certification (AI-102) – Full Course to PASS the Exam

The course is an excellent resource for AI-102 exam preparation. Andrew Brown, an experienced cloud instructor, delivers a comprehensive and practical guide that covers all exam domains. The content is well-structured, starting with an introduction and exam guide breakdown, then moving into setup and hands-on labs. The inclusion of generative AI topics, such as large language models and prompt engineering, is particularly valuable given the current industry focus. The instructor’s approach of showing real-world troubleshooting and potential pitfalls adds authenticity and prepares learners for common issues. The course is technically rigorous, with a strong emphasis on programmatic implementation using Python and REST APIs, which aligns with the exam’s developer-oriented nature. The responsible AI section is well-covered, reflecting Microsoft’s commitment to ethical AI. The main limitation is that the course is based on the instructor’s interpretation of the exam guide, and some services may be covered in less depth than others. However, the instructor clearly states where he deviates and why. The adéquation between title and content is perfect; the course truly is a full preparation for the exam. The public comments are overwhelmingly positive, with many viewers crediting the course for their exam success. Overall, this is a high-quality, reliable resource that significantly increases the chances of passing the AI-102 exam.

The title accurately reflects the content: a full course designed to prepare for the AI-102 exam.

8/10

The course is comprehensive, hands-on, and aligned with the official exam guide. The instructor is experienced and transparent about potential issues. However, the content is based on the instructor's experience and may not cover all exam nuances.

Markers derived by PSI from the transcript: the creator did not define chapters.

• 01:17Introduction and course overview
• 08:35Exam guide breakdown
• 18:41Setup development environment
• 1:06:13Setup OpenAI Studio and AI Studio
• 1:13:35AI vs GenAI primer
• 1:22:42Transformer architecture and tokenization
• 1:35:43ML and AI concepts: supervised/unsupervised, neural networks, GPU
• 1:42:43Responsible AI principles
• 2:03:07Azure AI Services overview and containers
• 2:55:04Azure AI Services vs Azure AI Studio
• 2:58:24Azure OpenAI Service and models
• 3:23:50Basic prompt engineering and API
• 4:01:57Deploy LLM to web app
• 4:30:03Prompt flow basics and programmatic usage

• ExamPro AI-102 Course Page — Official course page with additional study materials.
• Scrimba — Platform mentioned for interactive coding, though not directly used in this course.

• Microsoft Learn: AI-102 Certification — Official Microsoft certification page, consistent with course content.