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ADVANCED EMBEDDED & ARTIFICIAL INTELLIGENCE Specialization.

Flexible Duration
1500+ Enrolled
4.8 Rating

Accelerate your career with the most comprehensive ADVANCED EMBEDDED & ARTIFICIAL INTELLIGENCE course designed by industry veterans. Learn by doing with real-world projects.

Data Science
BASIC ELECTRONICS, EMBEDDED C, ARDUINO, PIC, ARM, RASPBERRY PI PYTHON, IMAGE PROCESSING, PCB, LINUX, GPS, GSM, BLUETOOTH, WIFI, ULTRA SONIC, IR, ACCELEROMETER, CURRENT SENSOR, LDR, COLOR SENSOR ECG, EEG, ROBOTICS, IOT, API INTEGRATION, OPEN CV, ANDROID IN

COURSE FEES

₹38,000.00
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Practical Training & Internship
Industry-Oriented Learning
100% Placement Support

What is ADVANCED EMBEDDED & ARTIFICIAL INTELLIGENCE?

Learn advanced embedded systems and IoT development with hands-on training in electronics, microcontrollers, sensors, robotics, and real-time applications. This comprehensive course covers Basic Electronics, Embedded C programming, Arduino, PIC, ARM, Raspberry Pi with Python, PCB design, Linux, Image Processing, OpenCV, Android Interfacing, Networking, Web Server Integration, and API Integration. Gain practical experience working with GPS, GSM, Bluetooth, WiFi, Ultrasonic, IR, Accelerometer, Current, LDR, Color, ECG, and EEG sensors while building real-time IoT and robotics projects. The program is designed for students, hobbyists, and professionals who want to develop smart embedded solutions, automation systems, robotics applications, and connected IoT devices using industry-standard tools and technologies.

This program is designed to take you from a complete beginner to a job-ready professional. We focus on practical skills, industry best practices, and the latest tools used by top tech companies globally.

Course Syllabus

Module 1: Feature Detection and Matching

  • Introduction

    Keypoint Detection Harris Corner Detector SIFT, SURF (if applicable), and ORB  ,Feature Matching Brute-Force matcher FLANN-based matcher , Applications Object recognition Image stitching basics

Module 2: Advanced Topics

  • Introduction

    Face Detection and Recognition Haar cascades DNN-based methods (e.g., YOLO, SSD) , Object Detection and Tracking Using pre-trained models (e.g., MobileNet, YOLO) Custom object detection with OpenCV , Deep Learning Integration Loading TensorFlow/Keras/PyTorch models into OpenCV Using OpenCV's dnn module

Module 3: Real-Time Applications

  • Introduction

    Building Real-Time Applications Real-time face detection Live object detection ,Project Work End-to-end mini-projects (e.g., attendance systems, vehicle counting)

Module 4: Fundamentals of Electronics

  • Introduction to Electronics Definition

    Introduction to Electronics Definition and applications of electronics Analog and digital signals Role of electronics in modern systems , Electronic Components Resistors: Types, color coding, and applications Capacity

Module 5: Robotics Projects

  • Practical Projects

    LED blinking (Hello World of robotics) Line-following robot Obstacle-avoiding robot

  • Programming Robots

    Introduction to Arduino programming Basic structure of a robot’s program Controlling LEDs and motors using Arduino

  • Basic Motion Control

    Controlling DC motors for robot movement Creating a simple line-following robot Obstacle detection and avoidance

  • Introduction to Robotics

    What is a robot? Types of robots (industrial, service, mobile) Applications of robotics in everyday life

  • Basics of Robotics Components Actuators

    Motors (DC, servo, stepper) Sensors: Ultrasonic, IR, touch, and light sensors ,Power Supply: Batteries and power management

  • Introduction to Advanced Topics (Optional)

    Basics of AI in robotics Simple image processing using OpenCV Introduction to Robot Operating System (ROS)

Module 6: Diodes and Applications

  • Diodes Types

    Diodes Types: PN junction diodes, Zener diodes, LEDs, photodiodes IV characteristics and working principles , Applications Rectifiers: Half-wave, full-wave, and bridge rectifiers Voltage regulation using Zener diodes Clipping and clamping circuits

Module 7: Based on Functionality

  • Industrial Robots

    Articulated Robots: Robots with rotary joints, are commonly used in manufacturing for tasks like welding, painting, and assembly. SCARA Robots: Used for pick-and-place, assembly, and packaging. Delta Robots: Fast and precise, often used in the food and electronics industries. Cartesian Robots: Operate in three linear axes (X, Y, Z); used in CNC machines and 3D printing.

Module 8: Service Robots

  • Introduction

    Robots that assist humans in tasks such as cleaning (e.g., vacuum robots), healthcare (surgical robots), or customer service (receptionist robots).

  • Humanoid Robots

    Robots that mimic human appearance and movements, such as ASIMO or Sophia. Used in research, education, or as personal assistants.

  • Collaborative Robots (Cobots)

    Collaborative Robots (Cobots)

  • Autonomous Mobile Robots (AMRs)

    Robots capable of navigating environments without human intervention, e.g., delivery robots, and warehouse robots like those used by Amazon.

Module 9: Embedded Linux

  • Introduction

    Networking, PCB Designing, 3D Printing

Module 10: Real-Time Operating System

  • Introduction

    TaskCreation, TaskHandler, TaskScheduling, Queue Semaphore

Module 11: Arduino

  • Introduction to Arduino Programs

    Led interfacing , Servo motor interfacing ,Ultrasonic sensor interfacing , Gas sensor interfacing ,IR sensor interfacing ,PIR sensor interfacing ,Push button interfacing

Module 12: Raspberry Pi

  • Introduction to Raspberry Pi

    Setting Up Raspberry Pi , Linux Basics and Command Line ,Python Programming on Raspberry Pi ,Electronics and Hardware Integration , IoT with Raspberry Pi ,Robotics with Raspberry Pi ,Raspberry Pi Projects ,Advanced Topics

Module 13: STM32

  • Introduction to STM32

    GPIO (General Purpose Input/Output) , GPIO Basics , LED Control ,  Button Input , Timers ,InterrupCommunication Protocols I2C (Inter-Integrated Circuit)  ,SPI (Serial Peripheral Interface) Basics of SPI protocol ,Communicating with external devices like displays and SD cards , ADC (Analog to Digital Conversion)

Module 14: Artifical Intelligence

  • Introduction to OpenCV

    What is OpenCV ?

Module 15: Image Basics

  • Understanding Images Images as arrays (grayscale and color images)

    Pixel operations (accessing, modifying pixels) ,Reading and Writing Images cv2.imread() and cv2.imwrite() Image formats (JPEG, PNG, etc.) ,Displaying Images cv2.imshow() and window management ,Image Color Spaces RGB, BGR, HSV, GRAY Converting between color spaces

Module 16: Image Processing

  • Introduction

     Geometric Transformations Resizing, scaling, and cropping Rotation and translation Affine and perspective transformations  ,Image Filtering Blurring and smoothing (Gaussian, median, bilateral filters) Edge detection (Sobel, Canny) Sharpening filters , Image Thresholding Global, adaptive, and Otsu’s thresholding , Morphological Operations Erosion, dilation, opening, closing Applications in noise removal

Module 17: Video Processing

  • Introduction

    Capturing Video Reading video files and live streams Accessing camera feed , Writing Video Saving processed video to files , Background Subtraction Foreground and background segmentation ,Object Tracking Basics Motion detection Tracking moving objects

Module 18: Contours and Shape Analysis

  • Introduction

    Contour Detection Finding and drawing contours Contour approximation , Shape Analysis Area, perimeter, and centroid of shapes Convex hull and defect detection , Template Matching Matching shapes in an image

Module 19: PIC / AVR / AMR

  • Programs

    Interfacing pic with LED , Interfacing pic with motor 3, Interfacing pic with 4x4 matrix keypad , Interfacing pic with 16x2 led ,Programming with ADC , Programming with UART , Programming with PWM , Programming with interrupts

Module 20: Internet of Things

  • IOT

    Esp8266 Introduction to Esp8266 Programs Led interfacing Servo motor interfacing Ultrasonic sensor interfacing Gas sensor interfacing IR sensor interfacing PIR sensor interfacing Push button interfacing Working with Thingspeak Working with Adafruit Workin

  • Introduction to Esp8266

    Esp8266 Programs Led interfacing ,Servo motor interfacing, Ultrasonic sensor interfacing, Gas sensor interfacing ,IR sensor interfacing ,PIR sensor interfacing ,Push button interfacing ,Working with Thingspeak, Working with Adafruit ,Working with Firebase

Frequently Asked Questions

What is the Certification in Advanced Embedded & Artificial Intelligence?

It is a professional course that combines embedded systems and artificial intelligence technologies. The course teaches hardware programming, IoT, microcontrollers, machine learning, and AI integration in embedded devices.

What are the basic eligibility requirements?

Usually, candidates should have:

Basic programming knowledge
Understanding of electronics fundamentals
Diploma, B.Tech, BE, MCA, BCA, or related qualification

Is this course suitable for beginners?

Yes. Most institutes start from basic concepts and gradually move to advanced embedded and AI applications.

Is certification provided after completion?

Yes. A course completion certificate or professional certification is generally provided after successful completion of training and projects.

Is programming knowledge required for this course?

Basic programming knowledge is helpful but beginners can also learn through guided training.