If you want to make career in Internet of Things: an evolving technology than this course is for you. You will learn everything from high level controllers to interactive dashboard designing.
Internet of Things is a general term used for devices talking over a network for the purpose of Monitoring, Analysis & Control without any human interference.
As per the definition you will learn the design for all three aspects of IoT i.e. Monitoring, Analysis & Control
INTERNET OF THINGS (IoT)
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
Business Rule Generation for IoT
3 layered architecture of Big Data — Physical (Sensors), Communication , and Data Intelligence
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 the 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 — and their implication in IoT
Powering options for sensors — battery, solar, Witricity, Mobile and PoE
Hands on training with single silicon and other sensors like temperature, pressure, vibration, magnetic field, power factor etc.
What is a sensor network? What is ad-hoc network?
Wireless vs. Wireline network
WiFi- 802.11 families: N to S — application of 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 of BLE. 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
Capacity and throughput calculation
Application issues in wireless protocols — power consumption, reliability, PER, QoS, LOS
Hands on training with sensor network
1. PICO NET- BLE Base network
2. Zigbee network-master/slave communication
3. Data Hubs : MC and single computer ( like Beaglebone ) based datahub
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 when needed?
Basic introduction of multi-layer PCB design and its workflow
Electronics reliability-basic concept of FIT and early mortality rate
Environmental and reliability testing-basic concepts
Basic Open source platforms: Arduino, Raspberry Pi, Beaglebone, when needed?
RedBack, Diamond Back
State of the present art and review of existing technology in the market place
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
Protocol stack of Mobile app for IoT
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
Linkafy Mobile platform for 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
Structured predictive analytic
Unstructured predictive analytic
Rule/Scenario discovery — failure, fraud, optimization
Root cause discovery
Why security is absolutely essential for IoT
Mechanism of security breach in IOT layer
Privacy enhancing technologies
Fundamental of network security
Encryption and cryptography implementation for IoT data
Security standard for available platform
European legislation for security in IoT platform
Firewalling and IPS
Updates and patches
SQL vs NoSQL-Which one is good for your IoT application
Open sourced vs. Licensed Database
Available M2M cloud platform
CISCO M2M platform
AT &T M2M platform
Google M2M platform
Energy optimization in Home
Smart Smoke alarm
BAC ( Blood alcohol monitoring ) for drug abusers under probation
Pet cam for Pet lovers
Mobile parking ticketing system
Indoor location tracking in Retail store
Home health care
Smart Sports Watch
4V- Volume, velocity, variety and veracity of Big Data
Why Big Data is important in IoT
Big Data vs legacy data in IoT
Hadoop for IoT-when and why?
Storage technique for image, Geospatial and video data
Parallel computing basics for IoT