Revolution inspiring a new
generation of global AI leaders

Six units, from the first line of firmware to a fleet of updated devices. Each ends in a build.

$155K+

Typical pay for a senior hardware engineer in San Jose is $155K–$215K, per Glassdoor, Levels.fyi, Payscale and Indeed.

30K+

Trusted by 30,000+ Students. Join thousands who have chosen our programs.

144+

Serving professionals in 144+ countries, shaping global access to premier tech solutions.

Put intelligence on the device.
Take it from firmware and real-time systems to models that run within a hard budget.

Write firmware, design around real hardware limits and run machine learning on devices: microcontrollers, real-time systems, model compression, accelerators and connected deployment.

6 Units

6 Build projects

C & Python Languages

Embedded & Edge AI Bootcamp

Most AI is written for a data centre. The systems that touch the world run on devices with kilobytes of memory, milliwatts of power and a deadline measured in microseconds. This bootcamp teaches you to build for those limits: to write firmware that never misses a deadline, and to make a model small, fast and efficient enough to live on the device.

You start from the electronics and the microcontroller, move through real-time software and signal processing, then bring machine learning down onto the hardware with quantisation, pruning and distillation. Accelerators, connectivity and security close the programme, so a device you build can be shipped, updated and trusted.

It is written for software engineers who want to understand the hardware beneath them, for electrical and mechanical engineers moving toward intelligent devices, and for machine learning practitioners whose models have to leave the cloud. C and Python and some first-year mathematics are the starting point.

Curriculum Summary

Microcontrollers

C and C++

Real-Time Operating Systems

Digital Signal Processing

Sensors and Actuation

Embedded Linux

TinyML

Quantisation

Pruning

Distillation

Edge Accelerators

FPGAs

Wireless Connectivity

Secure Updates

Learn. Build. Launch.

Hands-on from the first week

Each unit has a lab on a development board or an accurate simulator, so the code you write runs on silicon.

Six build projects

Each unit's work accumulates into projects you can run, show and explain, ending in a capstone device.

Real constraints

Every project has a budget for memory, latency or energy that you have to meet, because that is the job.

Modern tooling

C and C++, Python, Zephyr and FreeRTOS, TensorFlow Lite, ONNX Runtime and standard debug probes.

From model to device

A complete path for a machine learning model: train it, compress it, deploy it, measure it and update it in the field.

AI study assistants

Round-the-clock help from the Academy's AI study assistants, for the mathematics, the code and the debugging.

Master the Edge Stack

Every project has a budget for memory, latency or energy that you have to meet, because that is the job.

Our Community

Real stories from teams who
transformed with LunarTech.

4.9/5 • 100+ reviews

"After years working mainly with R for econometrics, I found your Python machine learning course a refreshing and engaging way to learn Python."

Raphael J., PhD

Quantitative Analyst

"I truly admire your work in AI and Data Science—your projects and teaching are genuinely inspiring."

Amin R.

Data Architect

"Your work around AI-driven innovation and agri-tech insights reminded me of Spencer. Our AI agent helped them generate over 30 calls per month."

Ayush Singh

Co-Founder

"Your page is fantastic. As a bachelor’s student in Data Science now accepted for a master’s at UConn, your work has been a real source of motivation."

Mahmoud A.

Data Scientist

"Thank you for the helpful videos—they’ve taught me a lot. I’m excited to continue with your linear algebra course."

Christian L.

Full-stack SWE

"I really appreciate your teaching style and the way you break down complex topics—it has been incredibly helpful."

Narine P.

Data Analyst

"I’m following your tutorial and it’s very easy to understand. I honestly believe you’ll become a big name in this space."

Mehedi H. M.

Trainee AI Dev

"I love your content and truly believe in the value you’re building with LunarTech."

Kenyon H.

Founder & CEO

"I really appreciate the incredible work you’re doing at LunarTech—initiatives like the Data Science Bootcamp are truly inspiring."

Suraj K.

Data Scientist

"After years working mainly with R for econometrics, I found your Python machine learning course a refreshing and engaging way to learn Python."

Raphael J., PhD

Quantitative Analyst

"I’m passionate about learning Data Science and I really admire your work—it keeps me determined to continue."

Usman O.

Data Scientist

"I just completed your machine learning session and learned so many new things—highly recommended."

Chaitanya P.

Systems Engineer

"As a Data Science graduate, I want to thank you for the effort you put into making videos to support growing data scientists."

Stanley M.

AI Engineer

"I’ve been following your work since taking your machine learning course, and I’m impressed by your practical approach to applying AI."

Sai Eshwar G.

Data Scientist

"I enjoy following your posts and really appreciate the educational opportunities—I’m looking forward to starting your AI Foundations course."

Edward B.

Tech Strategist

"Your 4-hour lecture on 50 common deep learning interview questions has been very helpful."

Vigneshwar S.

Doctoral Student

"I’m going through your mathematics course—it’s amazing. Thank you for putting it together."

Apratim B., PhD

Director & CTO

"Your videos are enormously helpful to me. Thank you for taking the time to make and share them."

Son-U P.

AI Architect

"I’m really enjoying your linear algebra video—it’s been very valuable."

Lando A. (AI.Cyber)

Associate

"I’m passionate about learning Data Science and I really admire your work—it keeps me determined to continue."

Usman O.

Data Scientist

"I’m training to transition into AI engineering and I’m really enjoying your course—thank you for being a light at the end of the tunnel."

Seun O.

Software Engineer

"I just watched your linear algebra video—it’s really great work. Please keep sharing your amazing knowledge."

Parshva S.

GenAI Specialist

"I’m genuinely inspired by your work and would love to stay connected."

Rishabh J.

CTO

"I read one of your machine learning articles on your website and it was excellent."

Mohammad M.

Operations Director

"I recently took your ‘Machine Learning in 2024 for Beginners’ course—it was amazing. Thank you for such high-quality content."

Prashin J. P.

Software Engineer

"I was a software developer for 30 years and am now looking at a second career as a data scientist. I discovered your content online."

Brian Wittig

Pro Bookkeeper

"I just discovered your video online and wanted to say thank you."

Jorge S.

Aspiring AI Eng

"I just watched your deep learning video and found it very insightful."

Yi W.

Research Assistant

"I read your article on machine learning and really appreciated how in-depth it was."

Trevor R.

Front-End Dev

"I’m training to transition into AI engineering and I’m really enjoying your course—thank you for being a light at the end of the tunnel."

Seun O.

Software Engineer

Build Devices That Meet Their Budget and Prove It

Each project is a device, or the heart of one, built to a hard budget and measured against it.

Real-Time Sensor Node

Digital Filter on a Microcontroller

Keyword Spotting on a Microcontroller

Vision Model on an Edge Board

Quantisation Study: Accuracy, Latency and Energy

Capstone: Connected Edge Device

By completing our Bootcamp, you'll obtain the expertise required to thrive in embedded and edge AI roles.

Every unit ends in something you build. You leave with projects you can run, show and explain, and the understanding to take on what comes next.

Startups

Enterprises

Organizations

Roles where intelligence is built into hardware, from the firmware to the model to the fleet.

Embedded Systems Engineer

Design and write the firmware and low-level software that make hardware do its job reliably.

Edge AI Engineer

Take machine learning models from the cloud to devices, compressing and optimising them for real constraints.

Firmware Engineer

Own the code closest to the metal: drivers, bootloaders, real-time tasks and updates.

Hardware Engineer

Design and validate the electronics and systems around the silicon, and the interfaces to software.

05
‍

IoT Solutions Engineer

Build connected products end to end, from sensor to cloud, with security and updates in mind.

LUNARTECH Revolutionizes

LUNARTECH AI stands as more than just another online education platform; it emerges as a pivotal beacon for those who have felt overlooked in the wave of technological advancement.

Forbes

World's entrepreneurial voice

In a rapidly changing technological landscape, LunarTech partners with industry leaders to bring to you most cutting edge and innovative solutions.

In a world where technology is constantly evolving, collaboration fuels our innovative spirit. Collaboration is one of the core pillars that drives LunarTech’s commitment to excellence, allowing us to forge strategic alliances with renowned companies like Microsoft, Nvidia, Google, and others. Through these partnerships, we bring you bleeding-edge solutions in record time, ensuring that you stay ahead in today’s competitive market.

LunarTech is not just teaching data science; it's reshaping the very fabric of educational accessibility in the tech realm.

— ENTREPRENEUR

America's leading business publication

LunarTech’s solutions offer cutting-edge AI education, empowering individuals with in-demand skills to lead in tech.

— INSIDER

Global business news leader

From $4,497

One payment, or split into 3, 6, 12 or 24 payments. Register your interest and we'll share the options with you directly.

Unit 1

Electronics and Microcontrollers

The hardware beneath the software, from the signal at the pin to the clock that drives it.

Circuits and Signals

ADC and DAC

GPIO

You finish with a working sensor node built from parts on a bench.

Core Overview

Circuits and signals, analogue-to-digital conversion, GPIO, timers and interrupts, and the serial buses that connect parts together: I2C, SPI and UART. You program ARM Cortex-M microcontrollers in C, reading datasheets and reference manuals until they stop being intimidating.

Foundation

Circuits and Signals

ADC and DAC

GPIO

Timers and Interrupts

I2C

SPI

UART

ARM Cortex-M

Datasheets

Unit 2

Real-Time Embedded Software

Software with a deadline, a memory budget and no operating-system safety net.

FreeRTOS and Zephyr

Scheduling

Priority Inversion

You learn to design firmware that fails safely, and to show that it behaves under load.

Core Overview

Real-time operating systems, scheduling, priorities and the bugs that live in them: races, priority inversion and stack overflows. Memory layout, drivers, low-power design, and debugging with JTAG and logic analysers.

Foundation

FreeRTOS and Zephyr

Scheduling

Priority Inversion

Memory Management

Device Drivers

Low-Power Design

JTAG Debugging

Logic Analysers

Watchdogs

Unit 3

Signals, Sensors and Actuation

Reading the physical world and acting on it, cleanly.

Signal Conditioning

Digital Filters

FFT

Everything is measured, plotted and compared with the theory.

Core Overview

Signal conditioning, filtering, the Fourier transform and the digital signal processing built on it. Sensors for motion, sound, light, temperature and distance; motor control with PWM and driver circuits; and the power electronics that keep it all running.

Foundation

Signal Conditioning

Digital Filters

FFT

Sampling Theory

Motion and Audio Sensors

PWM

Motor Drivers

Power Electronics

Measurement

Unit 4

Machine Learning at the Edge

Making a model small enough to run where it is needed, and fast enough to matter.

TinyML

Quantisation

Pruning

The question throughout is the engineer's one: how small can this be and still be good enough?

Core Overview

Quantisation, pruning, knowledge distillation and architecture choice, evaluated against the three budgets that decide everything on a device: latency, memory and energy. You deploy with TensorFlow Lite and ONNX Runtime, run a keyword spotter on a microcontroller, and learn to measure what a compressed model actually loses.

Foundation

TinyML

Quantisation

Pruning

Knowledge Distillation

Model Compression

TensorFlow Lite

ONNX Runtime

Latency and Energy Profiling

Keyword Spotting

Unit 5

Accelerators and Hardware Design

Choosing the silicon, and designing the system around it.

GPUs and NPUs

DSPs

FPGAs

You leave able to read a system's bottleneck, and to say which part of the stack to change.

Core Overview

GPUs, NPUs, DSPs and FPGAs: what each does well, how memory bandwidth decides performance, and how to benchmark honestly. You work on a Jetson-class edge board, then meet FPGAs and high-level synthesis for the workloads that need a custom data path.

Foundation

GPUs and NPUs

DSPs

FPGAs

High-Level Synthesis

Memory Hierarchy

Roofline Analysis

Embedded Linux

Jetson-Class Boards

Benchmarking

Unit 6

Connected Devices and Deployment

A device is only finished when it can be updated, secured and trusted in the field.

Bluetooth LE

Abstract architectural composition with glowing lights and futuristic symmetry, showcasing modern design concepts by LUNARTECH.

Wi-Fi

Hyperart composition with glowing circular elements and a futuristic ambiance, emphasizing innovation by LUNARTECH.

LoRa

Abstract digital composition featuring purple geometric patterns and a futuristic symmetrical design, showcasing advanced aesthetics by LUNARTECH.

The capstone brings the programme together: a connected edge device, from board to fleet.

Core Overview

Wireless protocols, BLE, Wi-Fi and LoRa; MQTT and device-to-cloud design; secure boot, encryption and key handling; over-the-air updates and fleet management; and the testing and reliability practices that keep thousands of devices running.

Foundation

Bluetooth LE

Wi-Fi

LoRa

MQTT

Secure Boot

Encryption

Over-the-Air Updates

Fleet Management

Reliability Testing

Master Embedded Intelligence From the Firmware Up with Our Embedded & Edge AI Bootcamp

Put intelligence on the device. Firmware, real-time systems and model compression, taken down to the hardware that has to run them.

Bootcamps

Learn it all the way down

Pricing

Start learning for free

About

Our story

Embedded & Edge AI Bootcamp

Revolution inspiring a new generation of global AI leaders

Put intelligence on the device. Take it from firmware and real-time systems to models that run within a hard budget.

Learn. Build. Launch.

Real stories from teams who transformed with LunarTech.

Build Devices That Meet Their Budget and Prove It

By completing our Bootcamp, you'll obtain the expertise required to thrive in embedded and edge AI roles.

Embedded Systems Engineer

Edge AI Engineer

Firmware Engineer

Hardware Engineer

IoT Solutions Engineer

LUNARTECH Revolutionizes

In a rapidly changing technological landscape, LunarTech partners with industry leaders to bring to you most cutting edge and innovative solutions.

From $4,497

Unit 1

Electronics and Microcontrollers

Unit 2

Real-Time Embedded Software

Unit 3

Signals, Sensors and Actuation

Unit 4

Machine Learning at the Edge

Unit 5

Accelerators and Hardware Design

Unit 6

Connected Devices and Deployment

Revolution inspiring a new
generation of global AI leaders

Put intelligence on the device.
Take it from firmware and real-time systems to models that run within a hard budget.

Real stories from teams who
transformed with LunarTech.