Generative AI Architecture via .NET Integration
Strengths
Architectural Overview
Covers essential components including Transformer architectures, RAG workflows, and semantic search mechanics.

Design and Integrate AI-Powered S/LLMs into Enterprise Apps using Prompt Engineering, RAG, Fine-Tuning and Vector DBs
InstructorMehmet OzkayaCovers essential components including Transformer architectures, RAG workflows, and semantic search mechanics.
Uses technical role-play scenarios to simulate professional interactions and reinforce learning through quizzes.
Practical examples are heavily centered on .NET and Microsoft ecosystems, which may limit utility for Python-focused developers.
Some signals point to a slow pace with repetitive content and potential difficulties following the instructor's accent. Note that these specific criticisms were recorded before the displayed update date, which does not prove a correction has been made.
Aligns well with .NET developers interested in enterprise AI, though less suitable for those seeking Python-centric content.







