Certified IoT Architect (ARCITURA)

by Spectrum Networks Claim Listing

These days everything is connected to the internet. From our watches to our fridges. Most utilities companies now offer IoT enabled services and meters. We can control the electrical devices in our homes using the assistants on our mobiles.

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Spectrum Networks Logo

img Duration

3 Days

Course Details

These days everything is connected to the internet. From our watches to our fridges. Most utilities companies now offer IoT enabled services and meters. We can control the electrical devices in our homes using the assistants on our mobiles.

IoT is used by all industries from logistics, manufacturing and utilities to sports associations. Have you been tasked with building an IoT capability for your organization or just want to understand what IoT is? This three-day course will teach you the why, how and what of IoT.

 

Audience Profile:

IT Professionals, Business Analysts, Solution architects, Enterprise Architects, Infrastructure Architects, systems administrators, security professionals, Systems Engineers

 

At Course Completion:

  • You will know the -
  • Understanding IoT Business Models and Design Processes
  • Any X-Point of View and IoT Characteristics
  • Intelligence model and Hybrid Architecture
  • Scalability and Unprecedent Events
  • Communication protocols and Localization
  • Everything-as-a-Service (XaaS)
  • IoT in Different Domains and Industries
  • IoT Enabling Technologies
  • Communication and Networking Technologies
  • IoT Software Technologies and Algorithms
  • IoT and Big Data, Machine Learning and Artificial Intelligence
  • IoT High Level Architecture Overview
  • Node, Network, Communication and Access Layers
  • IoT Security and Privacy Challenges
  • IoT Business, Functional and Technology Architectures
  • IoT Application, Protocol, Data and Analytics Architectures
  • IoT Device Specifications, Types, and Access
  • IoT Device Data Store and Transfer Capabilities
  • IoT Data Collection Mechanics
  • SQL RDBMS, NoSQL and Time Series Data
  • Human-to-Machine, Machine-to-Human, Machine-to-Machine Interactions
  • IoT Communication Channels and Protocol Technologies
  • IoT Device or Service Discovery
  • Open Hybrid, Shazam and Chrips
  • IoT Data Link Layer Protocols and OSI

 

Modules:

  • Day 1
  • Module 1: Fundamental IoT
  • This course module covers the spectrum of key topics pertaining to the Internet of Things (IoT) from both business and technical aspects. How IoT has impacted and is being utilized within different industries is explored and essential IoT concepts, models and technologies are introduced and related to fundamental IoT characteristics and functions.
  • The following primary topics are covered:
  • Business and Technology Drivers and Evolution of IoT
  • Understanding IoT Business Models and Design Processes
  • Any X-Point of View and IoT Characteristics
  • Intelligence model and Hybrid Architecture
  • Scalability and Unprecedent Events
  • Communication protocols and Localization
  • Everything-as-a-Service (XaaS)
  • IoT in Different Domains and Industries
  • IoT Enabling Technologies
  • End-User Devices, Sensors and Specialized Hardware Devices
  • Communication and Networking Technologies
  • IoT Software Technologies and Algorithms
  • IoT Data and Signal Processing Technologies
  • IoT and Big Data, Machine Learning and Artificial Intelligence
  • IoT High Level Architecture Overview
  • Node, Network, Communication and Access Layers
  • Operation and Management Layer
  • Service Enablement and Aggregation layer
  • IoT Security and Privacy Challenges
  • Day 2
  • Module 2: IoT Technology and Architecture
  • This course module provides a drill-down into key areas of IoT technology architecture and enabling technologies. A range of architectural models and layers are covered, along with core mechanisms pertaining to data collection, communication and device-related functions. Various relevant communication layers and protocols are also addressed, together with device and discovery functions. The following primary topics are covered:
  • Understanding the IoT Architecture Approach
  • IoT Business, Functional and Technology Architectures
  • IoT Application, Protocol, Data and Analytics Architectures
  • IoT Device Specifications, Types, and Access
  • IoT Device Data Store and Transfer Capabilities
  • IoT Data Collection Mechanics
  • SQL RDBMS, NoSQL and Time Series Data
  • Heterogeneous, Cloud and External Data
  • IoT Communication Mechanisms
  • Human-to-Machine, Machine-to-Human, Machine-to-Machine Interactions
  • IoT Communication Channels and Protocol Technologies
  • Cellular, WiFi, LoRaWAN, Satellite and Geo-sensing
  • ZigBee LAN, Bluetooth, Z Wave, Gateways and Firewalls
  • IoT Device or Service Discovery
  • Bluetooth Beacon, WiFi Aware and Physical Web
  • Open Hybrid, Shazam and Chrips
  • IoT Communication and Networking Protocols
  • IoT Data Link Layer Protocols and OSI
  • IoT Network Layer Protocols and Encapsulations
  • IoT Session Layer and Management protocols
  • IoT Learning Principles including Learning Lifecycle, Predictions, Patterns
  • Clustering and Dynamic Machine Learning
  • Day 3
  • Module 3: IoT Technology Lab
  • This course module presents participants with a series of exercises and problems that are designed to test their ability to apply their knowledge of topics covered in previous courses. Completing this lab will help highlight areas that require further attention and will help prove hands-on proficiency in IoT concepts, technologies, architecture models and devices, as they are applied and combined to solve real-world problems.
  • Thane Branch

    304, Nitco Biz Park, Road No. 16U, Thane

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