APTRON Noida provides IoT (Internet of Things) 6 Months Industrial Training with Live Project in Noida for Mtech, Btech Engineers imparts the knowledge and skills to codes for IoT. The course curriculum is divided into different modules focusing on important concepts related IoT (Internet of Things).
At APTRON’s well-equipped IoT training center in Noida aspirants learn the skills for Introduction to IoT, Business Overview of IoT is so important, All about Sensors, Sensor Network and Wireless protocol, Electronics Platform, production and cost projection, Product requirement document for IoT, Machine learning for intelligent IoT, Analytic Engine for IoT, IoT on real time projects along with IoT placement training. IoT Training in Noida has been designed as per latest industry trends and keeping in mind the advanced IoT course content and syllabus based on the professional requirement of the student; helping them to get placement in Multinational companies and achieve their career goals.
APTRON Noida provide this IoT (Internet of Things) Industrial Training with Live Project in Noida for Mtech, Btech Engineers with 100% placement support. APTRON has well defined course modules and training sessions for students. At APTRON IoT course is conducted during day time classes, weekend classes, evening batch classes and fast track training classes.
APTRON's Project based 6 Months Industrial Training in IoT (Internet of Things) Covers the Following Modules
Industrial Training in IoT (Internet of Things) is a modular 6 months course, regularized over 5 days a week, 2 hrs a day, and exclusively includes practical sessions. The course curriculum of Industrial Training in Embedded System comprises:
Business Overview of Why IoT is so important
Case Studies from Nest, CISCO and top industries
IoT adaptation rate in North American & and how they are aligning their future business model and operation around IoT
Broad Scale Application Area
Smart house and smart city
Industrial Internet
Smart Cars
Wearables
Home healthcare
Business Rule generation for IoT
3 layered architecture of Big Data –Physical (Sensors), Communication and Data Intelligence
Introduction of IoT: All about Sensors
Basic function and architecture of a sensor –Sensor body, sensor mechanism, sensor calibration, sensor maintenance, cost and pricing structure, legacy and modern sensor network- All basics about the sensors
Development of sensor electronics- IoT vs legacy and open source vs traditional PCB design style
Development of Sensor communication protocols –history to modern days. Legacy protocols like Modbus, relay, HART to modern day Zigbee, Zwave, X10,Bluetooth, ANT etc..
Business driver for sensor deployment- FDA/EPA regulation, Fraud/tempering detection, supervision, Quality control and process management
Different Kind of Calibration Techniques-manual, automation, infield, primary and secondary calibration –their implication in IoT
Powering options for sensors-Battery, solar, Witricity. Mobile and PoE
Introduction to Sensor Network and Wireless protocol
What is a sensor network? What is Ad-hoc network ?
Wireless vs. Wireline network
WiFi- 802.11 families: N to S- application of each standards and common vendors.
Zigbee and Zwave-advantage of low power mesh networking. Long distance Zigbee. Introduction to different Zigbee chips:
Bluetooth/BLE: Low power vs high power, speed of detection, class ofBLE. Introduction of Bluetooth vendors & their review :
Creating network with Wireless protocols such as Piconet by BLE
Protocol stacks and packet structure for BLE and Zigbee
Other long distance RF communication link
LOS vs NLOS links
Sensor network packet architecture
Capacity and throughput calculation
Application issues in wireless protocols- power consumption, reliability, PER, QoS, LOS
Review of Electronics Platform, production and cost projection
PCB vs FPGA vs ASIC design-how to take decision
Prototyping electronics vs Production electronics
QA certificate for IoT- CE/CSA/UL/IEC/RoHS/IP65: What are those and
Basic introduction of multi-layer PCB design and its workflow when needed?
Electronics reliability-basic concept of FIT and early mortality rate
Environmental and reliability testing-basic concepts
Basic Open source platforms: Adruino, Rasberry Pi, Beaglebone, RedBack, Diamond Back
Conceiving a new IoT product- Product requirement document for IoT
State of the present art and review of existing technology in the marketplace
Suggestion for new features and technologies based on market analysis and patent issues
Detailed technical specs for new products- System, software, hardware, mechanical, installation etc.
Packaging and documentation requirements
Servicing and customer support requirements
High level design (HLD) for understanding of product concept
Release plan for phase wise introduction of the new features
Skill set for the development team and proposed project plan -cost & duration
Target manufacturing price
Introduction to Mobile app platform & Middleware for IoT
Protocol stack of Mobile app for IoT
Fundamentals of WAP ( Wireless application protocols)
Mobile to server integration –what are the factors to look out
What are the intelligent layer that can be introduced at Mobile app level ?
iBeacon in IoS
Global vs Local ID-GUID concept for secured IoT network
IoT-Middleware case study-1 Axeda
IoT Middleware case study-2 Xively
Machine learning for intelligent IoT
Introduction to Machine learning
Learning classification techniques
Bayesian Prediction-preparing training file
Support Vector Machine
Image and video analytic for IoT
Fraud and alert analytic through IoT
Bio –metric ID integration with IoT
Real Time Analytic/Stream Analytic
Scalability issues of IoT and machine learning
What are the architectural implementation of Machine learning for IoT
