AIoT (Artificial Intelligence of Things) - 1 Month Internship Training Program
Join 1 Month AIoT (Artificial Intelligence of Things) Internship Training Program at NextVision Infotech. Learn IoT, Sensors, ESP32, Cloud, Data Analytics, Edge AI. ₹649 only with certificate.
Program Description
Skills You'll Learn
Projects You'll Work On
Complete AIoT Project (1 Month)
Students will complete a full AIoT project including sensor interfacing, microcontroller programming, wireless communication, cloud integration, data analytics, ML for IoT, edge AI, AIoT application, and complete project documentation.
Program Modules
W1: Week 1: IoT Fundamentals, Sensors, and Microcontrollers
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, microcontrollers - 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.
W2: Week 2: 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 - IaaS, PaaS, SaaS, cloud deployment 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.
W3: Week 3: 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, edge computing fundamentals, edge AI, TinyML, TensorFlow Lite for Microcontrollers.
W4: Week 4: Edge AI, AIoT Applications, Live Projects, and Certification
Edge AI, TinyML, 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, IoT security, security challenges, authentication, authorization, encryption, TLS/SSL, secure boot, firmware updates, OTA updates, live projects - smart home automation, smart agriculture, predictive maintenance, edge AI object detection, complete documentation, viva-voce examination, certificate distribution.
Key Features
What You'll Learn
Examination Details
| Exam Name | Full Marks | Pass Marks |
|---|---|---|
| Module-wise Assessment | 100 | 40 |
| Project Evaluation | 100 | 50 |
| Final Presentation | 50 | 25 |
| Viva-Voce | 50 | 25 |
Internship Details
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 practical training
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