The Architecture of Intelligence: Transformers, RAG, Agents, and Multimodal AI Explained
Build a practical foundation for designing reliable, context-aware AI applications
Created by Rahul Kaundal
Gain a practical understanding of how modern AI systems are built and connected. Explore the roles of transformers, retrieval-augmented generation, agents, and multimodal processing to make informed technical decisions and design reliable, context-aware applications.
Packt | Sep 2026 | 171 min
What You Will Learn
You will start with the basics of language intelligence and gradually build up to complete AI system design. Each section connects architecture concepts with real-world pipeline examples. The final part focuses on evaluation, governance, and responsible use, helping you see how all the pieces fit together.
Key Features
- Understand how transformers, RAG, and agents work together in AI systems
- Learn to evaluate and compare architecture choices for reliability and safety
- See how multimodal AI handles text, images, audio, and structured data
Target Audience
Perfect for technology professionals, solution architects, developers, technical leaders, consultants, and product managers who want a clear understanding of modern AI architecture. If you know basic AI terms and want to confidently assess, design, or communicate about intelligent systems, this course is for you.
