📚 Rust IoT and Embedded Systems Training Proposal (Intermediate)

Designed by Anirudha Gaikwad · Powered by RustBooks

🌟 Benefits of the Course

This intermediate Rust Learning Plan for IoT and Embedded Systems builds on foundational skills, equipping students with deeper expertise in a high-demand field. Here’s why this course is essential:

🤝 Choose Your Adoption Model

RustBooks offers two flexible proposals for universities to adopt our intermediate Rust for IoT and Embedded Systems course. Choose the model that best suits your institution’s goals: integrate into your academic syllabus or launch a 30-day intensive training program.

Proposal Minimum Students Duration Hardware Key Benefits
Academic Syllabus Integration 300 Ongoing (curriculum-based) Wokwi simulation, optional student/institution-provided kits, trainer demo kits Progressive curriculum, industry partnerships
30-Day Training Program 50 30 days (180 hours) Wokwi simulation, optional student/institution-provided kits, trainer demo kits Intensive skill-building, hands-on training

🎓 Proposal 1: Academic Syllabus Integration

RustBooks offers universities the opportunity to integrate our intermediate Rust for IoT and Embedded Systems course into their academic syllabus as a credit-based course or elective, building on foundational skills for advanced applications.

📚 Proposal 2: 30-Day Training Program

RustBooks offers a 30-day intensive training program on Rust for IoT and Embedded Systems, designed for intermediate students to deepen their skills through hands-on, multilingual training.

📅 Daily Learning Roadmap

📅 Day 📘 Topic 📝 Description 🎯 Outcome
1Rust Review: BasicsReview variables, ownership, borrowingRefresh core Rust concepts
2Rust Review: Structs and EnumsReview structs, methods, enums, pattern matchingReinforce data modeling skills
3Rust Review: Traits and ModulesReview traits, generics, and module organizationPrepare for advanced abstractions
4Advanced Embedded HALDeep dive into embedded-hal for complex peripheralsAbstract over advanced hardware interfaces
5RTIC Framework BasicsIntroduction to RTIC for real-time task schedulingImplement basic real-time tasks
6Advanced InterruptsHandle nested and prioritized interrupts in RTICManage complex interrupt scenarios
7Multi-Sensor IntegrationSimulate or use multiple sensors (e.g., DHT11, BH1750) in Wokwi/kitsIntegrate multiple data sources
8SPI/I2C OptimizationOptimize SPI/I2C communication for efficiencyImprove peripheral performance
9Local Data ProcessingImplement data averaging and filtering on-deviceProcess sensor data locally
10Mini-Project: Sensor FusionBuild a system to fuse multiple sensor inputsCreate a robust sensor module
11Advanced GPIO TechniquesSimulate or demo advanced GPIO (e.g., debouncing)Enhance user interface reliability
12UART OptimizationOptimize UART for high-speed communicationImprove serial data handling
13Basic Real-Time SchedulingUse RTIC for task prioritization and schedulingImplement real-time task management
14Power Management TechniquesDiscuss advanced power modes, demo with trainer kitsDesign energy-efficient systems
15Embedded Networking OptimizationSimulate optimized Wi-Fi/MQTT in WokwiEnhance network performance
16MQTT with QoSImplement MQTT Quality of Service levelsEnsure reliable data delivery
17Local Storage with SD CardSimulate or demo SD card logging with trainer kitsEnable persistent data storage
18Advanced DebuggingUse defmt, probe-rs for complex debuggingDebug sophisticated systems
19OTA Update ImplementationSimulate or demo OTA updates with trainer kitsImplement remote firmware updates
20Mini-Project: IoT DashboardBuild a virtual dashboard with Node-RED or GrafanaVisualize IoT data effectively
21Concurrency in RTICImplement concurrent tasks with RTICManage multiple real-time tasks
22Security BasicsIntroduce secure boot and data encryptionEnhance system security
23Performance ProfilingProfile and optimize embedded Rust codeImprove system efficiency
24Cross-Platform DevelopmentWrite portable code for ESP32 and RP2040Support multiple hardware platforms
25–29End-to-End Final ProjectBuild IoT node with local processing, MQTT, and storageDeploy advanced IoT prototype
30Recap, Portfolio & Career GuidanceSummarize learning, build portfolio, explore intermediate rolesPrepare for industry or advanced studies

✅ Final Project: Advanced IoT Node with Local Processing

Students build an IoT node using Wokwi simulation or optional physical kits, featuring:

🏗️ Architecture Overview:

Virtual/Physical Sensors (I2C) → Microcontroller (Rust, Wokwi or kits) → OLED Display (SPI/I2C) ↓ Local Processing & SD Card Logging ↓ Wi-Fi MQTT Publisher (QoS) ↓ Cloud Dashboard / MQTT Broker

📋 Course Prerequisites

📌 Prior Knowledge

Completion of RustBooks’ beginner course or equivalent (Rust basics, simple embedded systems, GPIO, basic MQTT).

📌 Hardware

Students require a laptop (Windows, Linux, or macOS, 8GB RAM, modern browser) to run Wokwi, a free browser-based simulator for ESP32/RP2040, sensors, and IoT workflows. Optional physical kits (ESP32 or RP2040, multiple sensors, OLED display, SD card module) can be purchased by students or provided by institutions, with a RustBooks purchase guide. Trainers use demonstration kits for advanced topics.

📌 Software

📈 Timeline Mapping

TOC Day Learning Outcome Project Contribution
1–3Rust ReviewFoundation for advanced topics
7–9Multi-Sensor & ProcessingSensor integration and data handling
15–16Networking & MQTTCloud connectivity with QoS
17–19Storage & OTALocal storage and updates
25–29Final ProjectBuild & optimize advanced IoT node