[Domain Mastery] AI-102 Guide: Domain #2 ~ Implement Generative AI Solutions

This is where AI solutions move from traditional models to intelligent, conversational, and content-generating systems.In this episode of Programmer’s Guide – Domain Mastery, we take a deep dive into Domain 2: Implement Generative AI Solutions from the AI-102: Designing and Implementing a Microsoft Azure AI Solution certification.This domain focuses on building modern AI applications using large language models, prompt orchestration, and retrieval-based architectures on Azure.In this deep dive, we cover:Core concepts of generative AI, including large language models (LLMs) and Azure OpenAI ServicePrompt engineering techniques and how to control model behavior effectivelyDesigning Retrieval-Augmented Generation (RAG) solutions using Azure AI Search and external data sourcesOrchestrating generative workflows using prompt flows and chaining techniquesManaging model deployment, scaling, and performance in production environmentsImplementing responsible AI practices including content filtering, safety, and complianceWe also break down:How generative AI scenarios appear in exam questionsCommon confusion between RAG, fine-tuning, and direct prompting approachesPractical strategies for designing scalable and reliable GenAI solutionsThis episode is designed to help you build, integrate, and reason about generative AI systems with confidence.Don’t forget to subscribe to Programmer’s Guide for more Exam Refreshers and Domain Mastery episodes.