EMAIL SUPPORTsales@telecontran.com

Course Duration

    Day






Course Objectives

Having Smartphones, Gadgets in hand makes it hard to believe that these devices are controlling our day to day activities simply because of the information that we store in them. We have GPS Sensor in our devices. How about sensor devices at home or work? Sensor networks are being integrated in our material environment, while algorithms and artificial intelligence make sense of the generated data, and influence our public and private lives.

The Internet of Things (IoT) is the game changer and it will bring about tremendous improvements in user experience and system efficiency. It will be the next big thing for both operators and associated industries. It will have a transformational impact on all industries and re-shape business models and industry configurations.

Telecontran’s 3-day workshop on Internet of Things (IoT) provides a core grounding in how science and technology have developed to enable the IoT as well as the design principles of the IoT and its device and infrastructure-related architectures, technologies and protocol frameworks that aimed at enabling the formation of highly distributed and ubiquitous networks with seamlessly connected heterogeneous devices. This course is designed to provide delegates with a comprehensive knowledge of the IoT architecture and different communication protocols.

After successful completion of this 3 day workshop, participants will be able to

  • Understand what “the Internet of Things” means and how it relates to Cloud computing concepts
  • Learn how open platforms allow to store sensor data in the Cloud
  • Learn overview of IoT with Data science
  • Predict implications of IoT for your business.
  • Examine the role of enabling technologies for IoT, such as zigbee, RFID, LoRaWAN, cloud computing and Big Data.
  • Identify security and governance issues with IoT.






Target Audience

This 3-day workshop is designed to help Software developers, Hardware Engineers, Sensor manufacturer, Cloud data scientist and Business manager who are planning to adopt and deploy Internet of Things products, solutions and IoT services. Executives who want to learn how leading companies leverage advanced analytics, Enterprise architects, data warehousing, and business intelligence professionals looking to provide the infrastructure for big data and advanced analytics, Data scientists, Business Analysts, UI Developers, in short anyone who sees potential in IoT and Big Data can participate in this training.







Course Curriculum

Introduction to the Internet of Things
  • The Internet of Things
  • The Basics of Sensors & Actuators
  • Introduction to Cloud Computing
  • Impact of IoT
  • Challenges of IoT
  • IoT Standards
Internet of Things Communications Models
  • Device-to-Device Communications
  • Device-to-Cloud Communications
  • Device-to-Gateway Model
  • Back-End Data-Sharing Model
IoT Network Architecture and Design
  • Drivers behind New Network Architectures
  • Comparing IoT Architectures
  • The oneM2M IoT Standardized Architecture
  • The IoT World Forum (IoTWF) Standardized Architecture
  • A Simplified IoT Architecture
  • The Core IoT Functional Stack
IoT Design considerations
  • IoT device and physical world interfacing
  • Hardware and software trade-offs
  • IoT and how the embedded systems work
  • IoT Connectivity through RF and Wireless
  • IoT Spectrum
  • Machine to Machine (M2M) Interactions
  • Existing Protocol Stacks
  • HTTP
  • UPnP
  • SNMP and ASN.1
  • XML
  • IoT Connectivity through Cellular Network, Small Cells and VSAT
  • Working with Big Data, Cloud, Analytics
  • CASE STUDY : HOME AUTOMATION






Course Curriculum

IoT Data Management and Compute Stack
  • Fog Computing
  • Edge Computing
  • Paradrop
  • The Hierarchy of Edge, Fog, and Cloud
IoT Platforms
  • IoT platforms:Flavors, Capabilities, Different Strengths, Diverse Partner models
  • The IoT platform market: opportunities, challenges, winners and dynamics
  • IoT Application Enablement Platform (AEP)
  • Platform-Enabled Solution (PES)
  • Bolt Cloud
  • Arduino Platform
  • The Raspberry Pi Platform
  • ARM (Advanced RISC Machine)
  • Programming fundamentals (C/C++ language)
  • Python
  • Amazon AWS and IBM bluemix
  • VPS (Virtual Private Server)
IoT Platforms
  • IoT platforms:Flavors, Capabilities, Different Strengths, Diverse Partner models
  • The IoT platform market: opportunities, challenges, winners and dynamics
  • IoT Application Enablement Platform (AEP)
  • Platform-Enabled Solution (PES)
  • Bolt Cloud
  • Arduino Platform
  • The Raspberry Pi Platform
  • ARM (Advanced RISC Machine)
  • Programming fundamentals (C/C++ language)
  • Python
  • Amazon AWS and IBM bluemix
  • VPS (Virtual Private Server)
IoT Connectivity Methods and Technologies
  • Wireless 101 / RF 101
  • ZigBee PRO, ZigBee 3.0 and ZigBee IP
  • 6LowPAN
  • RFID
  • Bluetooth and BLE (BT5.0)
  • Z-Wave
  • Home Automation (HA) Profile
  • Smart Energy (SE) Profile
  • Health Care
  • IEEE 802.15.4, IEEE 802.15.4e, 802.11ah
  • 802.11ah, Wi-Fi HaLow
  • Relay Access Point (AP)
  • LoRaWAN
  • NB-IoT and Other LTE Variations
  • LTE-M
  • IoT and 5G
  • Massive IoT in 5G
Applications and Industries of IoT
  • IoT Application Transport Method
  • SCADA
  • CoAP
  • Message Queuing Telemetry Transport (MQTT)
  • Data Analytics for IoT
  • Big Data Analytics Tools and Technology: NoSQL Databases, Hadoop, YARN, Apache Kafka, Lambda
  • IoT Architectures for Oil and Gas Industry
  • Smart Grid
  • Smart City
  • Smart Transportation
  • Modern Mining






Course Curriculum

IoT Security
  • IoT Security Standards and Fundamentals
  • IoT Security Challenges
  • Threats to IoT Devices, Platforms and Infrastructures
  • IoT Authentication, encryption, access control, privacy, data integrity and risk management
  • Formal Risk Analysis Structures: OCTAVE and FAIR
Regulatory, Legal and Rights Issues of IoT
  • IoT Privacy Consideration
  • Data Protection and Crossborder Data Flows
  • IoT Data Discrimination
  • IoT Devices as Aids to Law Enforcement and Public Safety
  • IoT Device Liability
  • Proliferation of IoT Devices Used in Legal Actions
Case Studies
  • IBM: Driving Enterprise Transformation Through the IoT
  • Daimler: Autonomous trucks reduce driver fatigue and improve road safety.
  • Patras: Internet of Things Case Study
  • IoT in Motor Insurance Premium in Malaysia
  • Singtel on Connected Access: Frictionless, Smart Perimeter Security at Scale
  • Some other sample case studies
IoT Trends and Future Implementation
  • IoT trends in the industry
  • Blockchain implementing IoT
  • DDoS Stack (Distributed Denial of Service)
  • Trends in mobile for IoT
  • The relation between IoT and market talent
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“Please feel free to contact for any further details at sales@telecontran.com