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Building Multimodal Applications
Vision, audio, image generation and cross-modal AI systems
Build AI systems that see, hear and generate across modalities: vision-language models (OCR, chart reading, document AI), speech-to-text and text-to-speech (voice assistants), and image generation (DALL-E, Stable Diffusion). Includes production mitigations for VLM failure modes.
Skills you'll gain
MultimodalVisionVLMSTTTTSImage GenerationCross-Modal
Prerequisites
LLM APIsPython
Chapters
1
Vision & Image UnderstandingAdvanced
How vision-language models see images: tokens, patches, resolution, OCR, chart reading and the failure modes of VLMs.
30m
2
Audio: Speech-to-Text & Text-to-SpeechAdvanced
STT (Whisper, streaming ASR), TTS, voice-first applications and production audio pipelines.
28m
3
Image Generation & Cross-ModalAdvanced
DALL-E, Stable Diffusion, image-to-image, and cross-modal reasoning (text→image, image→text, image→audio).
26m