Chaihuo Maker Academy

Real Hardware, Real Delivery —Systematic Courses

Chaihuo Maker Academy

Six course modules (M0–M5) covering zero-to-hero hardware fundamentals, device interconnectivity, multimodal AI, mesh networking, edge vision, and environmental sensing — organized into a teachable, adoptable, and co-buildable curriculum.

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Course Map · M0–M5

L1 · L2 · L3

Courses start with real hardware and field materials

LEDs, sensors, gateways, cameras, spatial devices, and delivery documentation — real materials used in classroom experiments, project training, and collaborative delivery.

When institutions adopt the course, they need to see these materials

A course is not just a handout. Each module must correspond to hardware, experiments, project tasks, and reusable delivery materials.

  • Real Hardware

    Each module has a reusable hardware procurement list.

  • Project Tasks

    Hands-on project tasks for classrooms or bootcamps.

  • Delivery Materials

    Results-oriented delivery materials including courseware, lab manuals, and project templates.

  • Reusability

    Organize once, reuse repeatedly across batches.

Three Learning Tracks

Build with AI, Build AI Products, Solutions — three tracks for different goals and module combinations.

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Course Structure

M0–M5 are course modules, L1–L3 are teaching depths

The matrix is an organizational tool. In actual delivery, it corresponds to course modules, class depth, hardware materials, and project outputs.

  • M0

    Hardware Foundation

    Smart Hardware Fundamentals

    Master XIAO series boards and sensor kits, learn Arduino and circuit basics, complete your first smart hardware project.

  • M1

    Device Connectivity & Smart Control

    Smart Home & IoT Control

    Build smart spaces with Home Assistant, connecting Zigbee, Matter, Shelly for remote control.

  • M2

    Long-Range Wireless & IoT Mesh

    LoRa & Mesh Networking

    Master LoRa, Meshtastic for self-organized IoT networks in off-grid scenarios.

  • M3

    Vision AI & Edge Inference

    Edge Vision AI

    Deploy vision AI models on reComputer Jetson, reCamera for real-time edge inference.

  • M4

    Spatial Intelligence & Interactive Experiences

    Spatial AI Agent

    Build AI Agent spaces combining voice, vision, and environmental perception.

  • M5

    Industry Scenarios & Delivery Integration

    Vertical Delivery

    Integrate M1-M4 tech stacks with real customer scenarios for complete project delivery.

L1 · L2 · L3

  • L1 · Demo Level

    Suitable for short courses and open classes: understandable, explainable, and demonstrable.

  • L2 · Consultant Level

    Suitable for course weeks and bootcamps: independently configure usable systems.

  • L3 · Design Level

    Suitable for business integration and deep customization: API integration, model training, private deployment.

Each module can be introduced independently at L1/L2/L3 depths, or combined across modules.

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Bring the course system into your teaching, training, or project site

You can start with a single module or combine course packages by goal; delivery formats include Bare Hardware Kit, Standard Teaching Kit, Full-Delivery, and Train-the-Trainer.

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