IoT for Entrepreneurs, Managers&Investors Training


Detailed information

Duration:21 Hour
Total hours of lesson:7
Requirements:1-Investors and IoT entrepreneurs 2-Managers and Engineers whose company is venturing into IoT space 3-Business Analysts & Investors
Students per class:6

Do you need further information?
Contact the person in charge , free and at no obligation, for information on how to register, enrollment limit, availability and more.

Request information

Course program

1. Day-1: Session -1: 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
Home healthcare
Business Rule generation for IoT
3 layered architecture of Big Data –Physical (Sensors), Communication and Data Intelligence
2. Day-1: Session-2 : 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
3. Day-1 : Session -3 : Introduction to Sensor Network and Wireless protocol
What is a sensor 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 of BLE. Introduction of Bluetooth vendors & their review :
X10, ANT+
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
4. Day-1 : Session-4 : 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 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: Adruino, Rasberry Pi, Beaglebone, when needed?
RedBack, Diamond Back
5. Day-2: Session-1: Conceiving a new IoT product- Product requirement document for IoT
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
6. Day-2: Session-2: Introduction to Mobile app platform for IoT
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
Window Azure
Linkafy Mobile platform for IoT
7. Day-2: Session-3: 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
8. Day-2: Session-4 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
9. Day-3 : Sesion-1 : Security in IoT implementation
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
Secure booting
Device authentication
Firewalling and IPS
Updates and patches
10. Day-3 : Sesion-2 : Database 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
CISCO M2M platform
AT &T M2M platform
Google M2M platform
11. Day-3, Session-3: A few common IoT systems
Home automation
Energy optimization in Home
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
12. Day-3: Session-4: 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
Hadoop for IoT-when and why?
Storage technique for image, Geospatial and video data
Distributed database
Parallel computing basics for IoT

Course location

Search similar to Other IT

Sponsored links