Internet of Things (IoT) – Dive into the Future with Future Finders, Mohali
The Future Finders lot course starts with a review of the ideas and many uses of the Internet of Things (IoT). You will be able to comprehend the foundational ideas of loT and its applications after taking this course. The client-server architecture, device architecture, and loT network architecture are all known. It elaborates on the many kinds of sensors and embedded development boards like Arduino and Raspberry Pi. An in-depth discussion is given on the different loT communication protocols (wired, wireless, application, and transport layer).
It includes instruction on cloud computing and cloud services including laaS, paaS, and saaS. Students will pick up design skills for Internet of Things products as well as programming skills for GPIOS, I/O peripherals, and sensor modules. Key topics on the agenda include hands-on training with a Raspberry Pi board and Python programming for a Raspberry Pi board. This curriculum is the greatest loT course from Future Finders because of all of the above factors.
This Internet of Things course in Mohali aims to give students a general grasp of the IoT ecosystem, the different technologies utilised in it, and IoT standards. The course’s different tools include the Arduino and Raspberry platforms. The principles of embedded C and python are covered in a separate lesson along with practical experience with several embedded development boards, such as the Raspberry Pi.
What is IoT, or the internet of things?
Iot is a massive internet-connected network of common objects equipped with electronics, sensors, and software that enables them to communicate with one another and share data with other adjacent objects as well as identify themselves to other objects. The lot has an impact on all aspects of our life, including how we react and behave as well as how we operate electrical items like air conditioners.
Smartwatches, refrigerators, and other devices that we can manage with our cellphones With the use of sensors inside these devices, which continually transmit data about the functioning condition of the equipment, IoT provides a platform for all devices to connect. All of the sensor data is transmitted to the loT platform, where it is combined andprocessed to provide useful data.
Course content
- 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
Explore the Internet of Things (IoT) and learn to build connected devices with real-time data management.
IOT Course
- 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
- 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
- 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
- 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
- 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
- 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
- Insight analytic
- Visualization analytic
- Structured predictive analytic
- Unstructured predictive analytic
- Recommendation Engine
- Pattern detection
- Rule/Scenario discovery –failure, fraud, optimization
- Root cause discovery
- 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
- 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
- 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
- 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
- Highlight of IOT Course
- Introduction Adafruit
- Node MCU ESP8266 Module
- Google Assistant
- ArduinoDroid Interfacing
- Voice/IOT
- App/IOT
- Wireless/IOT
- Video Conferencing
- All Embedded modules interfacing using IOT
- Temperature/Motion/Hardware control
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| IOT Course Fee and Duration | |||
|---|---|---|---|
| Track | Regular Track | Weekend Track | Fast Track |
| Course Duration | 150 - 180 days | 28 Weekends | 90- 120 days |
| Hours | 2 hours a day | 3 hours a day | 6+ hours a day |
| Training Mode | Live Classroom | Live Classroom | Live Classroom |
