Duration
3 days
Overview
Short for the Internet of Things, IoT refers to the ever-growing network of physical objects that are connected to the Internet, and the communication that occurs between these objects and other Internet-enabled devices and systems (IoT universe).
IoT is predicted to bring more than 30 billion connected devices online by year 2020 that are collecting, sharing and acting on data between themselves. But how can organisations, technologists or businesses leverage on the significant technologies that are bringing on the much-talked about fourth industrial revolution (4IR)? Our IoT course will give you a glimpse into the future of the Internet of Things by helping students understand its potential for ground-breaking innovation, and how the technology can radically impact the lives of billions of people, and the world economy. Students will learn all about the underlying technology that powers IoT, as well as the challenges that come with the implementation of such technology.
Prerequisites
Preferably minimum 2 years of experience in software development, business domain or data/business analysis. However, if you do not have any of the following experiences, you can still consider taking up the course.
Who Should Attend
IT/IS Executives & Managers, Project Managers, Technology Planners, Consultants & System Integrators, IT Technical Services Specialists, IT Architects, Business Process Owners, Risk Management Employees, Cloud Operations Engineers, Senior Cloud Operations Engineers, Business / Data Analysts, Operations Research Analysts.
Exam format
The CIoTS Certification Exam duration is 1 hour, consisting of 30 Multiple Choice Questions, with a Passing Score of 70%. You will receive a professional CIoTS Certification upon passing the exam.
Course Objectives
- Introduction to the core concepts of IoT, role and scope of smart sensors for insuring convergence of technologies and multidisciplinary engineering practices, wireless sensor networks, machine learning / data analytics and cloud computing;
- Understand the IoT Open innovation platform, and hardware platforms and operating systems commonly used in IoT systems;
- Understand big data predictive analytics and transformation from IT to IoT;
- Gain an awareness of IoT security and opportunities.
Learning Outcomes
Upon completion of this course, you will be able to:
- Explain what is the Internet of Things
- Understand how IoT devices interact together and with users
- Learn about the protocols used by IoT devices
- Discover the di-erent platforms that are available to develop applications
- Learn about commercially available devices that are already using the Internet of Things
- Understand the current challenges of the Internet of Things
- Understand Visual Analytics, and predictive analytics with IoT
Day 1: IoT Fundamental and Ecosystem Introduction to IoT
- What is IoT - In-depth explanation
- IoT Applications in di-erent domain
- How large is the IoT Market in
- di-erent domains?
IoT Architecture
- Architecture
- Tech Stack
- Protocols
Sensors
- What is Sensor & Actuator?
- What is good sensor?
- Sensor properties
- Types of sensors
- Sensor Demo – Proximity and IR
- sensors
IoT World
- Latest updates in the IoT industry
- Available IoT alliances details and the standards that are getting evolved
- Multiple IoT applications and solutions available in market
- Multiple IoT platform (hardware) example ARM Mbed, Intel, Free scale etc., comparison and usage
- Multiple IoT software and cloud platform, Components of a Platform, Usage, comparison. IoT ecosystems build around these platforms. OSMOSIS platform and our experience about IoT platform building
- Details about your OSMOSIS IoT platform
Communication
- Latest updates in the IoT industry
- Available IoT alliances details and the standards that are getting evolved
- Multiple IoT applications and solutions available in market
- Multiple IoT platform (hardware) example ARM Mbed, Intel, Free scale etc., comparison and usage
- Multiple IoT software and cloud platform, Components of a Platform, Usage, Comparison. IoT eco systems build around these platforms.
- Mi-MIST IoT Platform and our experience with IoT platform building
- Details about your Mi-MIST IoT Platform
Day 2: IoT Cloud and Analytics Cloud Computing
- What is cloud?
- What is cloud computing?
- Benefits of cloud
- History of cloud computing
- Deployment Models
- Top cloud providers
- Service Models
- Service Catalogue
- Di-erent Services from Amazon
- Advantages for di-erent o-erings
- Our learning in selecting the right service provider
Cloud Computing & Data Analysis Web services
- What are Web Services?
- Why Web Services
- Types of Web Services
- RESTful web services
- Design Principles
Introduction to Big Data & Big Data Technologies & Stream Processing
- Cloud data storage
- Introduction to Big Data
- Big Data Definition
Characteristics
- Who is Generating BigData
- BigData Analytics
- Why BigData Analytics
- Applications of BigData Analytics
- Di-erent Data Stores
- BigData Technologies - CouchDB,
- MongoDB, Node4J
- Visual Analytics, predictive analytics
- Analytics
- What is Visual Analytics?
- Visual Analytic Tools for Big Data
- Predictive Analytics.
- Predictive tools for Big Data.
Day 3: IoT Security and Opportunities Design considerations and IoT Security
- How IoT Platform provides security assurance?
- Experience from Mi-MIST IoT platform security features
- How secure is IoT?
- Vulnerabilities
- Key aspects for Securing IoT solutions
Build IoT Solutions For Home Automation and Logistics
- Solve Real Live use cases of Home Automation & Logistics
- Build solution for both Hardware and Software
- Use cases: Fleet management solution, Surveillance solution
IoT Opportunities
- Brainstorming on opportunities and how they can be realized
Programme scope, delivery arrangements and suitability are confirmed during enquiry.