Outcome
Design AI systems that work with images, documents, voice, realtime APIs, image generation, video generation, and media pipelines.
Advanced Interfaces · Days 86-93
Multimodal Engineering
Multimodal systems combine text with vision, audio, documents, generated images, video, and realtime experiences. Learn the capabilities and engineering constraints before building shiny chaos.
Advanced 5 subtopics 8 daily blocks
Practice builds
Document-to-JSON extractorVoice Q&A assistantAI media pipeline prototype
What to learn
Vision: image understanding, OCR via LLM, document AI
Voice agents: STT, TTS, realtime APIs, LiveKit, Vapi, Retell
Image generation: Flux, SDXL, Imagen, DALL-E, ControlNet and LoRA workflows
Video generation: Sora, Veo, Runway, Kling
ComfyUI, Replicate, and Fal for media pipelines
Daily study plan
Day 86: Compare OCR, document AI, and vision-language model workflows.
Day 87: Build an image understanding endpoint with structured output.
Day 88: Test speech-to-text and summarize an audio clip.
Day 89: Build a small text-to-speech response flow.
Day 90: Explore realtime voice agent architecture and interruption handling.
Day 91: Generate images with prompts, controls, and repeatable settings.
Day 92: Study video generation constraints and review workflow options.
Day 93: Build a media pipeline plan with storage, queues, and moderation.