Embedded Systems with Edge‑AI Course
From your first circuit to AI running on a microcontroller — Arduino, ESP32, STM32 and Embedded AI.
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Embedded Systems with Edge‑AI Course
From your first circuit to AI running on a microcontroller — Arduino, ESP32, STM32 and Embedded AI.
Languages and Tools covered
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Electronics Fundamentals
This module builds your hardware foundation, from components and Ohm’s law to analog signal conditioning, digital logic and system-level design. Every concept is measured on the bench with a multimeter and oscilloscope.
- Components, Power Supplies and Ohm’s Law
- Circuit Protection and Safe Breadboarding
- Reading Schematics and Datasheets
- Measuring with a Multimeter and Oscilloscope
- Diodes and Transistors
- Op-Amps and Filters
- Sensor Signal Conditioning
- Measuring Voltage, Current and Waveforms
- Project: Multi-Sensor Analog Front End
- Logic Gates and Number Systems
- Combinational Logic
- Sequential Logic
- Digital-Control Circuits
- Project: Digital Access-Control Unit
- System Blocks and Signals
- Timing and Interfaces
- State Machines
- Documenting Faults and Design Choices
C, Embedded C & C++ Programming
C and C++ are never taught in isolation. You write code that talks directly to hardware, setting register bits, building drivers, handling interrupts and wrapping peripherals in reusable C++ classes, and learn to debug it with real instruments.
- Syntax, Data Types, Operators and Control Flow
- Functions, Arrays, Strings and Structures
- Unions and Storage Classes
- Pointers, Dynamic Memory and Files
- Compiler Stages, Build Tools and Modular Code
- Bitwise Operations and the volatile Keyword
- Memory Maps and Peripheral Registers
- Register-Level GPIO Driver in C
- Interrupt-Aware, Deterministic Code
- Startup, Linker Basics and Peripheral Abstraction
- Clean APIs, Reusable Modules and Defensive Coding
- Project: Bare-Metal Sensor/Actuator Platform
- Arrays and Linked Lists
- Stacks, Queues and Circular Buffers
- Searching, Sorting and Complexity
- Event Queues and Schedulers
- Fixed vs. Dynamic Memory Trade-offs
- Classes, Objects and Constructors
- Inheritance and Polymorphism
- References and Templates
- RAII and Interfaces
- C++ Classes that Wrap Real Hardware
- Project: Modular Hardware Service Framework
- Observe, Hypothesize, Instrument, Isolate, Fix
- Multimeter, Oscilloscope and Logic Analyzer
- Serial Logs, Assertions and Fault Registers
- Breakpoints, Watchpoints and Stack Traces
- Project: Diagnostic Firmware and Crash Report
Microcontrollers: Arduino, ESP32 & STM32
This module takes you from Arduino and ESP32 Wi-Fi/BLE prototypes to professional ARM Cortex-M STM32 boards, programming peripherals at register level and with HAL/LL, and debugging over ST-LINK/SWD.
- Digital I/O, Serial Monitor and Breadboard
- Sensors: Ultrasonic, Temperature, Light and IMU
- PWM, Servo and Motor Control
- ESP32 Wi-Fi, Bluetooth (BLE) and Dual-Core
- Integrated Prototype with Documentation
- Cortex-M Architecture, Stack and NVIC
- GPIO, Timers, PWM, ADC, DMA and RTC
- UART, I²C, SPI, CAN and USB
- Register-Level and HAL/LL Programming
- ST-LINK/SWD Debugging
- Project: Industrial Data Acquisition
RTOS, Linux & Networking
This module covers real-time systems with FreeRTOS, Linux development and shell automation, and TCP/IP networking that connects a Linux gateway to your ESP32 and STM32 boards.
- Tasks, States, Scheduling and Priorities
- Deadlines, Latency and Jitter
- Queues, Semaphores and Mutexes
- Priority Inversion and Deadlock
- FreeRTOS Hands-on Practice
- Project: Real-Time Monitoring Controller
- Files, Permissions and Processes
- Services and Development Commands
- GCC, Make/CMake and GDB
- Cross-Compilation and Serial Devices
- Project: Edge-Gateway Service
- Bash Variables and Loops
- Functions and Logs
- Automation and Deployment Scripts
- Network Layers, Addressing and Ports
- TCP/UDP Sockets
- Client/Server Programs
- Device Telemetry and Remote Diagnostics
- Linux Gateway to ESP32/STM32 Boards
- Project: Networked Device-Monitoring Gateway
Python, AI & Embedded AI
This module adds intelligence to your devices. You automate hardware testing with Python, train classification and anomaly models on real sensor data, then optimise and deploy them to run on a microcontroller.
- Syntax, Files and Data Handling
- Plotting and Serial Communication
- Automated Hardware Test Scripts
- Report Generation
- Project: Automated Hardware Test and Report Tool
- Data and Features
- Training and Validation
- Metrics
- Classification and Anomaly Models
- Project: Sensor Anomaly-Detection Model
- Collecting and Labelling Real Sensor Data
- Optimising for RAM, Flash and Energy
- Quantization and Microcontroller Inference
- Deploying AI into Device Control
- Project: Optimised Intelligent Edge Node
Final Integrated Demo & Portfolio
You sign off by presenting working hardware end to end and graduate with a verified engineering portfolio.
- Working Hardware, End to End: Arduino → ESP32 → STM32 → RTOS/Linux → AI
- Presented and Explained to Faculty
- Code Repositories and Project Reports
- Measurements, Screenshots and Demos
- Verified LMS Record of All Assessments
- 17 modules
- Arduino, ESP32 and STM32 (ARM) labs
- 17 minor + 17 major projects
- 34 assessments tracked in your LMS
- Certification Program
- Internship Included
- Job Guarantee Option
- Final integrated demo & engineering portfolio
- Profile Building
Curriculum
A step-by-step learning path designed to build confidence and master real-world domain challenges.
26–32 Weeks
Learning Content
10+
Languages & Tools
Why Embedded Systems with Edge-AI
C and C++ are never taught in isolation here. You write code that talks directly to hardware — setting register bits to drive GPIO pins, building UART, I²C and SPI drivers in Embedded C, handling interrupts and DMA, and wrapping peripherals in reusable C++ classes — then add intelligence that runs on the device itself.
- C & C++ ⇄ Hardware
- Register-level GPIO, UART, I²C and SPI drivers, interrupts and DMA on Arduino, ESP32 and ARM STM32 boards, debugged with ST-LINK/SWD.
- Embedded AI
- Collect and label real sensor data, train classification and anomaly models, then quantize and optimise them for RAM, flash and energy to run on a microcontroller.
- RTOS, Linux & Networking
- Build FreeRTOS real-time controllers, Linux edge-gateway services and TCP/IP telemetry between a Linux gateway and ESP32/STM32 boards.
Course Information
Become an Embedded Systems Engineer who can build circuits, program well, control hardware, debug systems, connect devices and add intelligence. Our hardware-first pedagogy balances knowledge and skills through two focused sessions every day — concept in the morning, hands-on lab in the afternoon. You finish with a verified portfolio of code, reports, measurements and a final integrated demo, backed by 34 assessments and 34 projects recorded in our LMS.
Best Embedded Systems with Edge-AI Program
Looking for an Embedded Systems with Edge-AI course in Hyderabad? Cedlearn takes you from your first circuit to AI running on a microcontroller. You write C and C++ that talks directly to hardware, move from Arduino and ESP32 to professional STM32 boards, then add RTOS, Linux, networking and Embedded AI — every concept proven on real hardware.
- Two focused sessions every day
- Session 1 (90 min) covers the concept with a guided demo; Session 2 (90 min) is a hands-on lab and review, with primary and backup faculty every day.
- 1 minor & major project in every module
- 34 real-time projects, from a bare-metal sensor platform and industrial data acquisition on STM32 to an optimised intelligent edge node.
- Internship included program
- Apply firmware, IoT, and Edge-AI skills on live hardware projects during an internship included in the program.
- Job Guarantee Option
- This program offers a job guarantee option, so you can build toward roles in embedded, IoT, and Edge-AI with structured placement support.
- Hands-on hardware labs
- Every program is checked on a real board with a multimeter, oscilloscope, logic analyzer and ST-LINK debugger.
- Development kits provided
- Work with the boards, sensors, and tools needed for labs so you can practise embedded and Edge-AI skills in class.
- Minimum Batch Size
- Small batches give you more lab time with trainers for circuit debugging, RTOS, and model deployment.
- Assessed progress with LMS tracking
- 2 assessments in every subject (34 in total), with faculty review before each stage. You explain the circuit, the code and the measured result.
- Final Integrated Demo & Portfolio
- Present working hardware end to end — Arduino → ESP32 → STM32 → RTOS/Linux → AI — and graduate with code repositories, project reports, measurements and a verified LMS record.
Course Highlights
If you're preparing to enhance your skills and knowledge, our courses emphasize strong foundations, hands-on project implementation, and real-world experience. From engaging hybrid sessions to internships, we focus on building confidence and transforming expertise into career-ready skills.
Prepare
Foundation courses designed to bring you up to the speed, irrespective of your background.
Learn
Hybrid Learning to engage learners even before the class for effective knowledge transfer.
Implement
Project-Based Learning for confidence building and transferring knowledge into skills.
Experience
Internships & Job Readiness to give real-time experience and prepare for interviews.
Job for Embedded and Edge-AI Engineer
Embedded systems are the hidden computers inside cars, medical devices, home appliances, drones and factory machines. Companies in automotive, industrial automation, IoT, robotics and consumer electronics need engineers with strong skills in electronics, C/C++ firmware, microcontrollers, RTOS, Linux and Embedded AI. This program prepares you for roles such as Embedded Systems Engineer, Firmware Engineer, IoT Developer and Edge-AI Engineer.
Contact us
Get in Touch With Us
- Phone number
- 8977744633
- hello@cedlearn.com
- DELHI
HYDERABAD
KOCHI
BANGLORE
Business Hours :
Monday - Saturday: 9:00a.m to 8:00p.m
Sunday: With Appointment Only
Send a Message
Write to us. We would catch up with you as soon as we receive your message
scholarship & discounts
We believe in encouraging talented learners with Scholarships to avoid the learning hurdles due to financial limitations. However scholarships must be awarded based on the merit and hence our assessments. We would be glad to assess learners using our multi-dimensional assessment to identify the dormant potential and thus encourage them through the learning process by offering financial benefits. To know more you could contact us or register for the online assessment. If you are not clear on the career path in the field of AI, please feel free to meet our career counsellor. We would be glad to guide you through the career options to draft a personalized career path.