IoT Training

IT Pathshaala Bareilly provides Best IoT training in Bareilly based on current industry standards that helps attendees to secure placements in their dream jobs at MNCs. IT Pathshaala Provides Best IoT Training in Bareilly.

IT Pathshaala is one of the most credible IoT training institutes in Bareilly offering hands on practical knowledge and full job assistance with basic as well as advanced level IoT training courses.

At IT Pathshaala IoT training in Bareilly is conducted by subject specialist corporate professionals with 5+ years of experience in managing real-time IoT projects.

IT Pathshaala implements a blend of academic learning and practical sessions to give the student optimum exposure that aids in the transformation of native students into thorough professionals that are easily recruited within the industry.

At IT Pathshaala’s well-equipped IoT training center in Bareilly 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 Bareilly 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.

IT Pathshaala is the biggest IoT training center in Bareilly with high tech infrastructure and lab facilities and the options of opting for multiple courses at Bareilly Location. IT Pathshaala in Bareilly prepares thousands of aspirants for IoT at reasonable fees that is customized keeping in mind training and course content requirement of each attendee.

IoT training course involves "Learning by Doing" using state-of-the-art infrastructure for performing hands-on exercises and real-world simulations. This extensive hands-on experience in IoT training ensures that you absorb the knowledge and skills that you will need to apply at work after your placement in an MNC.

IT Pathshaala Bareilly is one of the best IoT training institute in Bareilly with 100% placement support. IT Pathshaala has well defined course modules and training sessions for students. At IT Pathshaala IoT training is conducted during day time classes, weekend classes, evening batch classes and fast track training classes.

Course Content:

• 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
• Analytic Engine for IoT
• Insight analytic
• Visualization analytic
• Structured predictive analytic
• Unstructured predictive analytic
• Recommendation Engine
• Pattern detection
• Rule/Scenario discovery –failure, fraud, optimization
• Root cause discovery
• Iaas/Paas/Saas-IoT data, platform and software as a service revenue model
• Iaas : Information as a service-evolving models
• Mechanism of security breach in IOT layer for Iaas
• Middleware for Iaas business implementation in healthcare, homeautomation and farming
• Iaas case study for vehicular information for Auto-insurance and Agriculture
• Paas: Platform as a service in IoT. Case studies of some of the IoT middleware
• Saas : Software/System as service for IoT business models
• European legislation for security in IoT platform
• Firewalling and IPS
• Updates and patches
• Database & Platform implementation for IoT : Cloud based IoT platforms
• SQL vs NoSQL-Which one is good for your IoT application
• Open sourced vs. Licensed Database
• Available M2M cloud platform
• Basic functionality of IoT cloud platform
• Real Time Analytic
• Batch Analytic
• Data storage
• Data filtering
• Rule engine
• Process mapping
• Caching of Data for IoT rule implementation
• Lossless data compression /Data encoding : Huffman and Progressive filtering
• Xively/ Omeg/Ayla/Libellium/CISCO M2M platform /AT &T M2M platform/ Google M2M platform
• A few common IoT systems
• Home automation
• Energy optimization in Home
• Automotive-OBD /Iaas/Paas for Insurance and Car parking
• IoT-Lock
• Smart Smoke alarm
• BAC ( Blood alcohol monitoring ) for drug abusers under probation
• Pet cam for Pet lovers
• Wearable IOT
• Mobile parking ticketing system
• Indoor location tracking in Retail store
• Home health care
• Smart Sports Watch
• Big Data for IoT
• 4V- Volume, velocity, variety and veracity of Big Data
• Why Big Data is important in IoT
• Big Data vs legacy data in IoT
• Fundamental of Map reduced system (MR)
• Hadoop and HDFS
• Kafka for data messaging and brokerage
• Storm/Bolt/Spout-fundamentals of real time analytic system
• Storage technique for image, Geospatial and video data
• Distributed database like Cassandra and HDFS
• Parallel computing basics for IoT