MULTIMODAL AI
Multimodal AI 5 Chapters • Self-paced

Multimodal AI Systems

Deploy vision-language models, process visual content, parse page layouts, and manage multimodal token sizing.

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Course Syllabus

1

1. Deploying Llama-3-Vision on Local Runtimes

Focus: How to self-host Llama-3-Vision models for automated invoice processing

Study Lesson
2

2. Local Embeddings on Raspberry Pi Edge Hardware

Focus: How to run local embeddings models on Raspberry Pi for smart home automation

Study Lesson
3

3. Zero-Trust Cloud Multimodal RAG Layouts

Focus: Deploying multi-modal RAG on zero-trust cloud architectures

Study Lesson
4

4. Mobile Native SLM Integrations with iOS Swift

Focus: How to deploy a multi-modal SLM natively on an iPhone 18

Study Lesson
5

5. Proxy Managers for Heavy Multimodal Request Rates

Focus: Best API proxies to handle massive multi-modal data requests

Study Lesson