Learning roadmap
Multimodal & Voice AI
Build with text, image, and audio together: the modality tradeoffs, a voice pipeline that survives real conversation, vision flows that understand documents, and the Arabic-first choices that make it all work for your users.
4 stages~8 h
That leaves 4 stages, ~8 hours of focused work. You can clear it in any order, but the stages compound — try them top-to-bottom your first time.
- You'll pick up:
modality matrix, latency budgets, cost per modality, native multimodal models, fallback modality
Practice quizzesLab taskBuild a "modality planner" page: five feature ideas, each assigned input/output modalities with a latency and cost band, and a tradeoff note explaining what was given up — one idea from your own backlog.
Build it in the LabCheckpointYour next feature has a modality map with numbers attached — and one idea died honestly at this stage.
What you'll be able to do
- Pick the right modality mix for a feature and state its latency and cost budget.
- Ship a voice pipeline where users interrupt, stutter, and switch languages — and it holds.
- Turn documents into structured data with OCR + LLM flows that cite what they read.
- Pass the Arabic-first check: dialect input, RTL output, and voice that does not sound foreign.
Or try a related path