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Computer Vision & Large Language Model Projects on Raspberry Pi 5

Computer Vision & Large Language Model Projects on Raspberry Pi 5

$199.00
$260.00 $199.00
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Course Overview

 

Curious about deploying LLMs on Raspberry Pi but don’t have the device? This course solves that problem with a Cloud-based Hands-on Lab—giving you full access to a simulated Raspberry Pi 5 environment for every project, no physical hardware needed.

You’ll start from the basics of Pi Connect and terminal commands, learn the differences between LLMs and lightweight SLMs, and progress through 8 real-world application labs including chatbot building, voice transcription, image text extraction, and multimodal interaction—all tailored for low-power edge devices.

 

What Makes This Course Special

 

☁️ Cloud Hands-on Lab: Practice remotely in a full Pi simulation—no hardware required

💡 SLM & Edge Focus: Learn small model deployment and ARM optimization

🧰 8 Complete Labs: Build real AI applications step-by-step

🖥️ Cross-platform Friendly: Windows, macOS, and Linux supported

📘 Theory Meets Practice: Understand the models before you build with them

 

 

Course Outline

Part 1: Environment Setup & Remote Access

  • Raspberry Pi Connect walkthrough

  • Basic Linux terminal commands

  • Remote access setup (SSH/SCP) for Windows / Mac

Part 2: LLM & SLM Fundamentals

  • Overview of popular LLMs (LLaMA, Gemini, Mixtral, etc.)

  • SLMs and their role in ARM environments

  • Limitations, potential, and use cases of small models

Part 3: Eight Hands-on Project Labs

  1. llama.cpp Chatbot – From setup to Python API deployment

  2. Ollama Chatbot – GUI modules, REST API, messaging integrations

  3. LangChain + Ollama – Build RAG-powered interactive chatbots

  4. Whisper Speech-to-Text – Multilingual transcription + RPi 5 optimization

  5. Ollama OCR – Extracting text from images and OCR principles

  6. LLaVA Assistant – Multimodal AI running on Raspberry Pi 5

  7. LLM for Math – Model comparison and math/logical reasoning tasks

  8. RAG Chatbot – End-to-end deployment from model quantization to frontend

 

Pricing Notice

Product prices are displayed in your local currency for your convenience. However, all payments will be processed in New Taiwan Dollars (TWD) at the final checkout based on the current exchange rate.

 

Who Should Enroll

  • Learners who want to build and deploy LLM projects without hardware

  • Developers exploring lightweight models for edge environments

  • Educators and students focused on practical AI and IoT integration

 

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