ARCITURA Certified IoT Architect The course will teach you the why, how and what of IoT

Course details

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.