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 Service
• Prompt engineering techniques and how to control model behavior effectively
• Designing Retrieval-Augmented Generation (RAG) solutions using Azure AI Search and external data sources
• Orchestrating generative workflows using prompt flows and chaining techniques
• Managing model deployment, scaling, and performance in production environments
• Implementing responsible AI practices including content filtering, safety, and compliance

We also break down:

• How generative AI scenarios appear in exam questions
• Common confusion between RAG, fine-tuning, and direct prompting approaches
• Practical strategies for designing scalable and reliable GenAI solutions

This episode is designed to help you build, integrate, and reason about generative AI systems with confidence.

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