IoT Advanced Training

Module 1 Introduction to IoT

•  What is IoT – In-depth explanation
• IoT Applications in different domain
• How large is the IoT Market in different domains?

Module 2 IoT Architect

•  Architecture.
• Tech Stack.
• Protocols

Module 3 Sensors

• What is Sensor & Actuator?
• What is good sensor?
• Sensor properties.
• Types of sensors
• Sensor Demo.

Module 4 End to End Cold Chain Demo

• H/w pieces
• Platform configuration – BCC – Client, Device, Rule, Alarm, Device Data, Event
• Sensor data being sent to Osmosis platform
• Actuation through BLE
• Visualization through real time dashboard
• How the problem gets solved through big data and visualization

Module 5 Communication

• Introduction to communication architecture- Network protocol stack
• Different protocols
• RF: ZigBee, Blue Tooth, BLE, Zwave, Mesh network.
• Communication Channels: GSM/GPRS, 2G, 3G, LTE, WiFi, PLC
• IoT protocols: MQTT/MQTTS, CoAP, 6LoWPAN, like TCP, UDP, HTTP/s.
• Comparison of the different IOT protocols, advantages and disadvantages ( limitations) of these IOT protocols.
• IPv4 addressing problem for IOT and introduction to IPv6 IPv6 is required to address more devices.
• Application issues with RF protocol – power consumption, LOS, reliability
• Security aspects.

Module 6 Cloud Computing 

• What is cloud?
• What is cloud computing?
• Benefits of cloud.
• History of cloud computing.
• Deployment Models.
• Top cloud providers.
• Service Models
• Service Catalogue
• Different Services from Amazon
• Advantages for different offerings
• Our learning in selecting the right service provider
• What are Web Services.
• Why Web Services.
• Types of Web Services.
• RESTful web services.
• Design Principles.

Module 7 Cloud computing and Data Analytics 

• Cloud data storage
• Introduction to BigData
• BigData Definition and Characteristics
• Who is Generating BigData
• BigData Analytics
• Why BigData Analytics
• Applications of BigData Analytics
• Different Data Stores
• BigData Technologies – CouchDB, MongoDB, Node4J, Hadoop Ecosystem, Spark, Cassandra.
• Demo – Visual analytics.
• Analytics.
• What is Visual Analytics?
• Visual Analytic Tools for Big Data.
• Predictive Analytics.
• Predictive tools for Big Data.

Module 8 IOT World 

• Latest updates in the IOT industry.
• Available IOT alliances details and the standards that are getting evolved
• IOT applications and solutions available in market
• The Multiple IOT platform ( hardware) example ARM Mbed, Intel, Free scale etc., comparison and usage
• Multiple IOT software and cloud platform, Components of a Platform, Usage, comparison. IOT eco systems build around these platforms. OSMOSIS platform and our experience about IOT platform building
• Details about your OSMOSIS IOT platform

 

Module 9 IOT Security

• How secure is IoT?
• Vulnerabilities
• Key aspects for Securing IoT solutions

Module 10 IoT Opportunities 

• Opportunities based on different expertise areas.
  How to make most of these opportunities.