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AIoT (Artificial Intelligence of Things) - 120 Hours Internship Training Program

Join 120 Hours AIoT (Artificial Intelligence of Things) Internship Training Program at NextVision Infotech. Master IoT, Sensors, ESP32, Cloud, Edge AI, TinyML, AIoT Applications. ₹1499 only with certificate.

120 Hours
Anywhere in India • Patna • (Offline & Online)
INT-AIDS-AIOT-120H
AIoT (Artificial Intelligence of Things) - 120 Hours Internship Training Program Banner

Program Description

NextVision Infotech presents a comprehensive AIoT (Artificial Intelligence of Things) Internship Training Program spanning 120 hours. This advanced program is designed for students across all disciplines - B.Tech, B.E., BCA, MCA, B.Sc., and other technical streams - who want to master the convergence of AI and IoT with hands-on, project-based training. The program covers the complete AIoT lifecycle from IoT fundamentals to sensors, actuators, microcontrollers, wireless communication, cloud platforms, edge AI, TinyML, and AI-powered IoT applications. Over 120 hours, the program progresses from fundamentals to advanced AIoT. Weeks 1-4 cover IoT fundamentals, sensors, and microcontrollers. Weeks 5-8 cover wireless communication, cloud platforms, and data analytics. Weeks 9-12 cover edge AI, TinyML, AIoT applications, and live projects. The program follows industry-standard workflows used by professional AIoT engineers across India. Students work on real-world AIoT projects including smart home, smart agriculture, smart health, predictive maintenance, and edge AI applications. The curriculum draws inspiration from premier technical institutions across India and follows professional AIoT standards used in the industry. Students gain advanced practical skills that prepare them for careers in AIoT, IoT, edge AI, and smart systems. This program is delivered both online and offline, allowing students from any state or city across India to enroll and benefit. The institute is ISO 9001:2015 certified, and the internship certificate is accepted by universities, colleges, and companies throughout the country. Upon successful completion, students receive an Internship Certificate, Industrial Training Certificate, Project Completion Certificate, Research Training Certificate, and an Offer Letter. Learning outcomes include mastering IoT, sensors, microcontrollers, wireless communication, cloud, edge AI, TinyML, and AIoT application development.

Skills You'll Learn

AIoT
IoT
Sensors
Actuators
Arduino
ESP32
Raspberry Pi
Embedded C
GPIO
ADC
PWM
Bluetooth
Wi-Fi
LoRa
Zigbee
MQTT
AWS IoT
Google Cloud IoT
ThingSpeak
Blynk
Python
Pandas
Scikit-learn
TensorFlow Lite
TinyML
Edge AI
Edge Impulse
IoT Security
OTA Updates

Projects You'll Work On

Complete AIoT Project (120 Hours)

Students will complete a full AIoT project including sensor interfacing, microcontroller programming, wireless communication, cloud integration, data analytics, edge AI, TinyML, AIoT application, research report, and complete project documentation.

Program Modules

1

W1-2: Weeks 1-2: IoT Fundamentals, Sensors, and Actuators

Introduction to IoT, IoT architecture, sensing layer, network layer, application layer, IoT devices, IoT gateways, IoT platforms, IoT applications, sensor fundamentals, sensor characteristics, types of sensors - temperature, humidity, pressure, proximity, motion, light, gas, soil moisture, water level, ultrasonic, IR, PIR, accelerometer, gyroscope, magnetometer, GPS, actuators - relay, solenoid, DC motor, stepper motor, servo motor, motor drivers, sensor interfacing, signal conditioning.

2

W3-4: Weeks 3-4: Microcontrollers and Embedded Programming

Microcontroller fundamentals, Arduino, ESP8266, ESP32, Raspberry Pi, NodeMCU, STM32, GPIO, ADC, PWM, timers, interrupts, serial communication - UART, I2C, SPI, embedded C programming, sensor integration, actuator control, real-time systems, RTOS basics, FreeRTOS, power management, battery management.

3

W5-6: Weeks 5-6: Wireless Communication and Cloud Platforms

Wireless communication fundamentals, short range protocols - Bluetooth, BLE, Zigbee, Z-Wave, Wi-Fi, RFID, NFC, long range protocols - LoRa, LoRaWAN, Sigfox, NB-IoT, LTE-M, 4G, 5G, module interfacing, cloud computing fundamentals, cloud service models, IoT cloud platforms - AWS IoT, Google Cloud IoT, Azure IoT, ThingSpeak, Blynk, Adafruit IO, Ubidots, MQTT, HTTP, CoAP, AMQP, cloud integration, data visualization, dashboards, mobile app integration, REST APIs.

4

W7-8: Weeks 7-8: Data Analytics and Machine Learning for IoT

IoT data analytics, data collection, data storage, time-series databases, data processing, data visualization, real-time analytics, predictive analytics, Python for IoT data, Pandas, NumPy, Matplotlib, machine learning for IoT, supervised learning, unsupervised learning, anomaly detection, predictive maintenance, scikit-learn, TensorFlow Lite, model training, model optimization.

5

W9-10: Weeks 9-10: Edge AI, TinyML, and AIoT Applications

Edge computing fundamentals, edge AI, TinyML, TensorFlow Lite for Microcontrollers, Edge Impulse, model quantization, model pruning, model deployment on microcontrollers, on-device inference, AIoT applications - smart home, smart agriculture, smart health, smart city, smart industry, predictive maintenance, anomaly detection, computer vision on edge, audio classification on edge, live projects.

6

W11-12: Weeks 11-12: AIoT Security, Research, Live Projects, and Certification

IoT security, security challenges, authentication, authorization, encryption, TLS/SSL, secure boot, firmware updates, OTA updates, blockchain for IoT, AIoT security, research methodology, research design, literature review, data collection, data analysis, research report writing, live projects - smart home automation, smart agriculture, smart health monitoring, predictive maintenance, edge AI object detection, research report, complete documentation, resume building, interview preparation, viva-voce examination, certificate distribution.

Key Features

120 Hours Comprehensive Training
Industry-Standard Curriculum
Live AIoT Projects
Edge AI & TinyML
Cloud Integration
Research Report Included
Professional Documentation
ISO 9001:2015 Certified Institute
Offer Letter Provided
Internship Certificate Included
Industrial Training Certificate
Viva-Voce Preparation
Online & Offline Mode
Pan-India Enrollment

What You'll Learn

Master IoT fundamentals and architecture
Interface sensors and actuators
Program microcontrollers for IoT
Implement wireless communication protocols
Integrate cloud platforms for IoT
Perform IoT data analytics
Apply machine learning for IoT
Implement edge AI and TinyML
Build AIoT applications
Build a professional AIoT portfolio
Prepare for AIoT and IoT jobs across India

Examination Details

Exam Name Full Marks Pass Marks
Module-wise Assessment 100 40
Project Evaluation 100 50
Research Report 100 50
Final Presentation 50 25
Viva-Voce 50 25
AIoT (Artificial Intelligence of Things) - 120 Hours Internship Training Program

Internship Details

Duration 120 Hours
Location Anywhere in India • Patna • (Offline & Online)
Available Seats 100
Course Code INT-AIDS-AIOT-120H
Apply Now — ₹999

Prerequisites

  • Pursuing or completed B.Tech/B.E./BCA/MCA/B.Sc. in Electronics, ECE, EEE, CSE, or related field
  • Basic knowledge of electronics circuits
  • Basic knowledge of programming
  • Interest in AI and IoT

Who Can Enroll ?

  • B.Tech ECE students (1st to 8th semester)
  • B.Tech CSE students
  • B.Tech EEE students
  • BCA/MCA students
  • B.Sc. Electronics students
  • AIoT/IoT aspirants
  • Working professionals wanting to upskill
  • Students from all over India seeking advanced practical training

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