The Internet of Things (IoT) is beginning to grow significantly, as consumers, businesses, and governments recognize the benefit of connecting IoT devices to the internet. We are entering the era of the connected business model. Potentially, any asset, person, product, process, or source of data can be connected, making a reality of the long forecast connected house, car, factory and ecosystem.
Smaller and cheaper sensors—embedded technology in products like cars, oil wells, wearables, and business processes—will become the norm over the next decade. All this connectedness has the potential to radically change business models and the competitive landscape.
According to BI Intelligence report, The Internet of Things will be the largest device market in the world. We estimate that by 2019 it will be more than double the size of the smartphone, PC, tablet, connected car, and the wearable market combined.
The IoT will result in $1.7 trillion in value added to the global economy in 2019. This includes hardware, software, installation costs, management services, and economic value added from realized IoT efficiencies. Device shipments will reach 6.7 billion in 2019 for a five-year CAGR of 61%. Revenue from hardware sales will be only $50 billion or 8% of the total revenue from IoT- specific efforts, as software makers and infrastructure companies will earn the lion’s share.
The enterprise sector will lead the IoT, accounting for 46% of device shipments this year, but that share will decline as the government and home sectors gain momentum. By 2019, government will be the leading sector for IoT device shipments.
This course will focus on the core technologies behind Internet of Things. This certification leverages and explores the middleware for IoT, Machine learning for Intelligent IoT, Data Science for Intelligent IoT, Analytic engine for IoT, Big data platform for IoT, API design considerations for IoT, IoT standards and Management of IoT, which makes a world fully connected.
After the course, participants will have a good understanding of the different pieces of an IoT system and how they interact.
Bringing together these skills and the related specific knowledge on the subject will allow the project partners to tackle all aspects of considerable complexity of developing a general architecture for the Internet of Things.
Who Should Attend
• Cloud Operations Engineer
• Senior Cloud Operations Engineer
• Data Analyst – Statistics and Mining
• Data Analyst – Text Analytics
• Operations Research Analyst
• IT Consultant
• Project Manager
• Technology Planners
• Functional Managers
• IT Architects
• Business Process Owners
• Business Analysts
• Acquire the knowledge and skills on Business Overview of IoT system
• Design and develop smart IoT Applications
• Understand the Functional Components and Classification of the IoT Middleware.
• Acquire the knowledge on Machine Learning for intelligent IoT
• Acquire the skills on Data Science, Analytic engine and Big data platform in IoT
• Understand the API Design Considerations for the IoT
• Manage smart IoT projects
Participants are preferred to have min. 2 years of experience in software development, business domain or data/business analysis.
4 days (9am to 5pm), full time
As part of the written examination, each participant will be assessed individually on the last day of the training for their understanding of the subject matter and ability to evaluate, choose and apply them in specific context and also the ability to identify and manage risks. The assessment focuses on higher levels of learning in Bloom’s taxonomy: Application, Analysis, Synthesis and Evaluation.
This written examination will primarily consist of 40 multiple choice questions spanning various aspects as covered in the program. It is an individual, competency-based assessment.
• Oracle VM Virtual Box
Participants will have guided hands-on sessions on IoT to get firsthand knowledge about IoT and backbone technologies (cloud computing, business analytics, etc.) needed to build IoT applications. During this session they will gain understanding of several factors in building a successful IoT system.
The program consists of three hands-on sessions, three hours duration each.
Hands-on 1: Implementing the Internet of Things (IoT) using Nabto infrastructure through a live cloud service. In this session, participants will learn FreeRTOS+Nabto based Internet-of-Things that is live and available to connect any time. The demo provides access to live data and the FreeRTOS command console. Participants will also learn about implementing the Internet of Things (IoT) using Nabduino. Nabduino is a prototype board, providing you with access to Nabto’s patented technology, which automatically creates a direct encrypted connection to a device behind a firewall. Using this demo participants can perform operations on LED, Buttons, Temperature, PWM (Pulse-width modulation), Analog In and Digital IO.
Hands-on 2: Setup and configure a private cloud for IoT application deployment and infrastructure maintenance using OpenNebula, an open source private cloud tool. Further, participants will also perform business analytics on an IoT application data (including data loading, data preparation, data cleaning and analysis operations) using an open source BA tool RapidMiner.
Hands-on 3: Setup and configure an IoT platform such as Carriots and Evrythng. Further, participants will also perform building applications and managing devices connected to Internet.