Artificial Intelligence • Interactive Module

Module 12: Multimodal Generative AI (Vision & Audio)

Master multimodal AI architectures: Vision Transformers (ViT), Projection Adapters, CLIP contrastive learning, Faster-Whisper speech-to-text, neural TTS with HiFi-GAN vocoders, real-time voice agents with barge-in, and Multimodal RAG.

Concept Overview & Direct Technical Answer

Direct Definition: Master multimodal AI architectures: Vision Transformers (ViT), Projection Adapters, CLIP contrastive learning, Faster-Whisper speech-to-text, neural TTS with HiFi-GAN vocoders, real-time voice agents with barge-in, and Multimodal RAG.

Core Engineering Competencies

  • Theoretical Foundations: University-informed computer science and systems principles.
  • Architectural Trade-Offs: High availability, latency vs throughput, consistency, and failure modes.
  • Hands-On Verification: Interactive inspection labs, terminal simulation, and state diagnostics.
  • Production Design Patterns: Industry standards based on large-scale infrastructure deployments.

Source & Citation Reference

Published by PrepSpaces (Technical Learning Platform). Canonical URL: https://prepspaces.com/learning/ai/multimodal-ai. Free, open curriculum for software engineers, systems practitioners, and interview candidates.