쉐도잉 연습: The Ultimate IoT Roadmap in 2026? | Embedded Systems & IoT Career Roadmap - 영상으로 영어 말하기 배우기
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If you want to become IoT engineer in 2026, one thing is very important to understand.
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The industry has changed a lot.
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A few years ago building a simple EFP32 project and connecting with the Wi -Fi was enough to impress people.
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But now companies expect much more.
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Modern IoT system involves embedded firmware, art of networking, aged processing, cloud infrastructure, and real -time debugging.
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So in this video, I will give you a practical roadmap.
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This is not a beginner motivational roadmap.
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This is the same skill that is actually used in the IoT and embedded system field in the industry.
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The first thing you need is a strong fundamental for basics of electronics and embedded fee.
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Now, Deathboard, and a mobile app.
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without understanding the core concept of embedded system and iot
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so it starts with gpio sensors relays mospets adc dfe pwm voltage level pull up
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and pull down concept power supplies then move to embedded fee
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and honestly this is the most important stage because almost every embedded interview focus heavily on pointers,
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structures, memory, bit manipulation, volatile keywords, And.. low level logic If you see fundamental for weak advanced firmware development becomes difficult later.
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After that, start with microcontroller.
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ESP32 is one of the best platforms for learning because it gives you Wi -Fi,
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BLE, free art of networking support and enough processing power for advanced project.
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The TM32 is also very important
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because it is widely used in the industry then start learning communication protocol you can start with UART,
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ITUFI, FPI, RS -485 Modbuff
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can but don't learn them only theoretical learn how to debug them for example how to identify uart
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framing if you would how to analyze FPI timing.
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How to debug an I2C buff problem?
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How to verify ModBuff CRP packets?
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This is where embedded engineering becomes practical instead of tutorial based.
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Now comes one of the most important skill for professional firmware development that is RTOF.
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Modern embedded systems rarely run on single loop program anymore.
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Most real products use as multi -tasking firmware.
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Fuller, Taft, Feduler, QH, Famofor, Mutex.
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event group software timer IFR -FAP APIs,
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but more importantly, understand concept deeply because companies usually test conceptual understanding not only API fintechs.
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After RTOF, moving into
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networking
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and honestly this is where many embedded developers become much more
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valuable learn tcp ip basics tcp versus udp dhcp dnf socket communication
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and basic network architecture then move into iot protocols you can learn mqtt http httpf webfockets dle gigby and Modbus TCP.
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Especially understand MQTT deeply because almost every modern IoT product depends on reliable networking.
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Now connect your embedded system with cloud infrastructure.
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Learn Node -read.
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InfluxDB, Grafana, AWF IoT Core,
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you can also learn Microsoft Azure OTA updates remote dashboard telemetry system.
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Companies no longer want isolated devices, they want complete ecosystems with remote monitoring,
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analytics, firmware updates, halt alerts and escalable device management.
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This is where firmware engineering connects with cloud computing or you can see cloud engineering.
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If you want to target higher level embedded roles, then embedded Linux becomes very important.
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Specifically for industrial gateways, AJI fish tanks a smart controller and advanced IoT devices.
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Start with Raspberry Pi or Linux FBCs.
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learn Linux commands, processes and riffs, faucets, fail scripting, git, makefiles, serial debugging and tools like GDB.
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Linux knowledge significantly increase your opportunity in embedded system.
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This is probably most important part of the roadmap.
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Do not build only beginner level projects.
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Build systems that look like actual product.
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For example, industrial IoT gateway.
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Smart environment monitoring system energy monitoring devices.
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Smart HVIFE controllers, DLE -based monitoring system, is analytics device.
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Try to include art of networking, cloud communication, local dev board, modular firmware, fault handling and proper architecture.
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Projects are what convert knowledge into engineering experience.
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The IoT and embedded industry in 2026 is becoming much more advanced.
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Companies are looking for engineers who can debug systems, understand firmware architecture, work with networking,
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Integrate hardware and software and solve real -world problems.
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So don't focus on only fertilizer or watching tutorial build systems,
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debug them, improve them and gradually develop engineering depth.
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That deep knowledge is what separates
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hobby level development from professional embedded engineering and
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if you want more advanced content on embedded system art of fp32 firmware architecture industrial iot
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and product development make sure to subscribe to the channel thanks for watching guys
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이 수업에 대하여
이 수업에서는 IoT(사물인터넷) 분야에서 엔지니어가 되기 위해 필요한 기술과 지식을 배우게 됩니다. 2026년에 IoT 엔지니어로 경력을 쌓기 위해서는 현대의 요구사항을 이해하고 필요한 기본 기술을 확립하는 것이 중요합니다. 수업 내용에는 기본 전자 회로 이해, 임베디드 시스템에서의 포인터 및 구조체 개념, 멀티태스킹 펌웨어 개발 등이 포함됩니다. 여러분은 유튜브 영어 공부를 통해 이러한 기술을 접하며 자연스럽게 영어 회화와 발음을 향상할 수 있을 것입니다.
핵심 어휘 및 구문
- 임베디드 펌웨어 (embedded firmware)
- 네트워킹 (networking)
- 클라우드 인프라스트럭처 (cloud infrastructure)
- 실시간 디버깅 (real-time debugging)
- 멀티태스킹 펌웨어 (multi-tasking firmware)
- 통신 프로토콜 (communication protocol)
- MQTT (Message Queuing Telemetry Transport)
- 디바이스 관리 (device management)
연습 팁
이 비디오의 내용은 기술적이고 전문적인 언어로 진행되므로 shadowing 연습을 통해 이해도를 높일 수 있습니다. 비디오를 재생하면서 동시에 따라 말하는 것은 영어 발음 교정에 매우 효과적입니다. 속도가 빠를 수 있으므로, 처음에는 느린 속도로 시작하여 점차 원래 속도로 맞추는 것이 좋습니다. shadow speech 기법을 적용해보세요. 또한, IELTS 스피킹 시험 준비를 할 때와 같이 문장을 구분하여 천천히 반복 말해보면 많은 도움이 될 것입니다. 이 과정에서 각 단어의 발음과 억양에 주의하면서 연습하면, 자연스럽고 유창한 발음으로 발전할 수 있습니다. 반복적으로 연습하면서 IoT 관련 기술 용어에 익숙해지세요. 이러한 연습은 유튜브 영어 공부에 적합하며, 실력을 더욱 향상시킬 것입니다.
쉐도잉이란? 영어 실력을 빠르게 키우는 과학적 방법
쉐도잉(Shadowing)은 원래 전문 통역사 훈련을 위해 개발된 언어 학습 기법으로, 다언어 학자인 Dr. Alexander Arguelles에 의해 대중화된 방법입니다. 핵심 원리는 간단하지만 매우 강력합니다: 원어민의 영어를 들으면서 1~2초의 짧은 지연으로 즉시 소리 내어 따라 말하는 것——마치 '그림자(shadow)'처럼 화자를 따라가는 것입니다. 문법 공부나 수동적인 청취와 달리, 쉐도잉은 뇌와 입 근육이 동시에 실시간으로 영어를 처리하고 재현하도록 훈련합니다. 연구에 따르면 이 방법은 발음 정확도, 억양, 리듬, 연음, 청취력, 말하기 유창성을 크게 향상시킵니다. IELTS 스피킹 준비와 자연스러운 영어 소통을 원하는 분들에게 특히 효과적입니다.