Add-on Certificate Program on Artificial Intelligence, Robotics, Embedded Systems & IoT_Edutecnicia Pvt. Ltd.,

 Greetings from Edutecnicia Pvt. Ltd.!

We are delighted to propose an Add-on Certificate Program on Artificial Intelligence, Robotics,

Embedded Systems & IoT tailored for the students of AWH College of Engineering, Calicut. This 60-

hour, hands-on training program is designed to introduce students to next-generation technologies through

a blended approach combining software and hardware innovation.

At Edutecnicia Pvt. Ltd., we specialize in delivering transformative learning experiences in AI, Robotics,

Embedded Systems, and Python programming. With 65+ workshops conducted across 8 Indian states, our

mission is to make emerging tech accessible, practical, and industry-aligned for young innovators.

Proposed Add-on Course Details

Course Title Add-on Certificate Program on Artificial Intelligence, Robotics, Embedded

Systems & IoT

Target Audience UG Students (Any Stream) – Batch of 30-40 students

Mode Offline – Full-day Workshops

Duration 10 Days × 6 Hours = 60 Hours

Certification Joint Certificate by AWH College of Engineering & Edutecnicia Pvt. Ltd.

Course Objectives • Build a strong foundation in AI, ML, DL, Embedded Systems & IoT

• Develop Python programming skills and apply them in AI and data

science

• Learn to interface sensors and control hardware using Arduino,

Raspberry Pi & VEGA Processors

• Understand real-world applications of intelligent systems

• Complete a hardware-integrated deep learning capstone project

Add-on Certificate Program on Artificial Intelligence, Robotics, Embedded Systems & IoT

Duration: 60 Hours (10 Days × 6 Hours)

Mode: Offline Hands-on Sessions

Target Audience: Open to all UG Engineering Streams

Partner Institution: AWH College of Engineering

Organized by: Edutecnicia Pvt. Ltd.

Course Objectives

• Build a strong foundation in AI, ML, DL, Embedded Systems & IoT

• Develop Python programming skills and apply them in AI and data science

• Learn to interface sensors and control hardware using Arduino, Raspberry Pi & VEGA

Processors

• Understand real-world applications of intelligent systems

• Complete a hardware-integrated deep learning capstone project

Day-Wise Course Plan

Day 1: Introduction to AI, Robotics & Embedded Intelligence

• AI vs. ML vs. DL vs. Robotics vs. Embedded Systems

• AI in Mechatronics, Automation, and Smart Devices

• Types of AI & Key Applications

• Overview of Embedded Systems & IoT

• Hands-on: AI Use-case Mapping + Embedded Circuit Design Tools

Day 2: Python Programming Essentials

• Python Basics: IDEs, Variables, Data Types, Control Structures

• Functions, Lists, Dictionaries

• Hands-on: Python Automation & Simulations

Day 3: Python for Data Science & ML

• NumPy & Pandas for data operations

• Exploratory Data Analysis

• Data cleaning and manipulation

• Hands-on: CSV-based Dataset Analytics

Day 4: Intro to Machine Learning + Hardware Simulation

• ML Concepts: Supervised vs. Unsupervised

• ML Algorithms using scikit-learn

• Hands-on: Predictive Modeling + Sensor Data Classification

Day 5: Arduino Programming & Sensor Interfacing

• Arduino Basics: Digital I/O, Serial Monitor

• Sensor Interfacing: Temperature, IR, Motion, Light

• Embedded C vs. Python-based Microcontroller Programming

• Hands-on: Arduino AI Task (e.g., Obstacle Detection AI Logic)

Day 6: Raspberry Pi with Python + AI Applications

• Raspberry Pi OS, GPIO Access, Camera Module

• Running AI/ML models on Raspberry Pi

• Hands-on: Smart Home / Face Detection Project with Pi

Day 7: VEGA Processor & Indian RISC-V Architecture

• Introduction to Indigenous Shakti & VEGA Processors

• AI on VEGA: Use Cases & Tools

• Hands-on: Code a Simple ML Model using VEGA SDK

Day 8: IoT + Cloud + Data

• IoT Architecture

• Cloud Platforms: Firebase / Thingspeak

• Hands-on: IoT Data Logging from Arduino/Pi Sensors

Day 9: Deep Learning & AI Tools

• Neural Networks & CNNs – Basic Concepts

• Teachable Machine, Canva AI, ChatGPT, Edge AI

• Hands-on: DL Model with Image Classification on a Local Dataset

Day 10: Capstone Hardware Project + Review

• Capstone Project: Hardware-Integrated Deep Learning System

(Examples: Face Mask Detector using Pi, AI Irrigation System, Emotion-based LED Control, etc.)

• Project Presentation, Peer Review, Evaluation

• Certification Distribution & Career Pathway Session

Assessment & Certification

• Assessment: Daily tasks, participation, and final mini project

• Certification: Joint Certificate from AWH College of Engineering & Edutecnicia Pvt. Ltd. upon

successful completion

Fees: Rs. 3000 to 3500 (based on student count)

Interested in joining the program? Register here