Center for Skill and Entrepreneurship Development - IoT
Industry Inside Institute
The DCS skill development program in IoT through CSED (Industry inside Institute) integrates cutting-edge IoT technologies into the curriculum, offering students hands-on experience with interconnected devices and smart systems. By working on live IoT projects, students gain practical skills in areas such as sensor networks, data analytics, and automation. This approach ensures they understand the complexities of IoT ecosystems and can design, implement, and troubleshoot innovative solutions. The collaboration with industry experts not only provides real-world insights but also aligns academic training with the latest industry trends, preparing students to excel in the rapidly evolving IoT field.
Sensors and Actuators
Cloud Computing
Connectivity
User Interface
Data Processing
Security
OBJECTIVES
The objective of this training program is to provide participants with a comprehensive understanding of Industrial Internet of Things (IIoT) development using Thingworx, LED (Light Emitting Diode) technology, ESP32 (a widely used microcontroller), programming of microcontrollers, and TinkerCAD (a virtual prototyping tool). Participants will learn how to design, develop, and implement IIoT solutions by leveraging these technologies, and gain hands-on experience through various projects.
OUTCOMES
- Understand the fundamental concepts of IIoT and its applications in various industries.
- Utilize Thingworx, a popular IIoT platform, for creating IoT applications.
- Design and implement LED-based solutions for various applications.
- Work with ESP32, a powerful and widely used microcontroller, for developing IoT solutions.
- Program microcontrollers using programming languages such as C and C++.
- Create virtual prototypes using TinkerCAD for testing and validation of IoT solutions.
- Develop and implement IIoT projects using the skills acquired during the training program.
SCOPE
Upon completion of this training program, participants will be qualified for roles such as IIoT developer, IoT engineer, embedded systems engineer, firmware engineer, and IoT solution architect. They can work in industries such as manufacturing, transportation, energy, healthcare, agriculture, and more, where IIoT solutions are in high demand.
PROJECTS
Participants will work on various projects throughout the training program to apply their learning and gain practical experience. Example projects may include designing and implementing an IIoT solution for smart agriculture using Thingworx, developing a LED-based lighting control system for smart buildings, creating an ESP32-based IoT solution for remote environmental monitoring, programming a microcontroller for home automation, and building virtual prototypes using TinkerCAD for IoT applications.
- Smart Home Automation, Smart washroom, Smart Kitchen
- Smart Dustbin, Smart Smoke Detector, Smart Irrigation
- Smart Street Light, Thingworx app development
OBJECTIVES
The objective of this training program is to provide learners with a comprehensive understanding of Industrial Communication Protocols and Connectivity for the Internet of Things (IoT). The program will cover various protocols and their characteristics, advantages, and disadvantages. The training will also cover various connectivity options, including wired and wireless, and their suitability for different applications.
OUTCOMES
- Identify the requirements for the real world problems.
- Building Mashup and Widgets using Thingworx/Equivalent.
- Understand the fundamentals of Industrial Communication Protocols and Connectivity for IoT
- Identify different protocols and their characteristics, advantages, and disadvantages
- Analyze and select suitable connectivity options for IoT applications
- Implement various protocols and connectivity options for IoT applications
- Troubleshoot common issues related to Industrial Communication Protocols and Connectivity for IoT
SCOPE
- IoT Solution Architect
- Industrial Automation Engineer
- Network Engineer
- IoT System Integrator
- IoT Application Developer
- Entrepreneurship
PROJECTS
- Implementation of MQTT Protocol for IoT Applications
- Integration of Modbus TCP Protocol for Industrial Automation
- Deployment of OPC UA for Real-time Data Transfer in Manufacturing
- Evaluation of Different Wireless Technologies for IoT Connectivity
Design and Implementation of a Secure IoT Communication System
OBJECTIVES
The objective of this training program is to provide participants with a comprehensive understanding of the ThingWorx/Cloud platform, including data collection and management, mashup creation, binding data, using widgets, events, and services, and the development process in ThingWorx/Cloud Composer.
OUTCOMES
- Understand the Thing Model and its attributes
- Create and manage Things, Thing Templates, and Thing Shapes
- Utilize services, events, and subscriptions in the Thing Model
- Connect to remote devices using ThingWorx/Cloud platform Industrial Connectivity
- Use the ThingWorx/Cloud platform REST API for connectivity
- Develop and deploy mashups for user interfaces
- Bind data, widgets, and events to create interactive experiences
- Use timers and Edge Deployment Strategies in ThingWorx/Cloud platform
- Utilize ThingWorx/Cloud platform Analytics features for predictive and prescriptive modeling
SCOPE
This training program is ideal for individuals interested in pursuing a career in IoT development and programming. The skills learned in this program can be applied to various industries and job roles, including IoT engineers, software developers, data analysts, and more.
PROJECTS
- Developing a Thing Model for an IoT application
- Creating and deploying a mashup for a user interface
- Building a subscription code for event-driven logic
- Connecting to remote devices using ThingWorx/Cloud platform Industrial Connectivity
- Developing a predictive model using TThingWorx/Cloud platform Analytics
OBJECTIVES
The main objective of this training program is to provide the participants with a comprehensive understanding of data analytics and its applications in various industries. The program will cover both theoretical concepts and practical applications of data analytics, including data processing, data visualization, predictive modeling, and machine learning.
OUTCOMES
- Understand the basic concepts of data analytics and its applications.
- Process and analyze data using various tools and techniques using ThingWorx.
- Create data visualizations to communicate insights and findings effectively with ThingWorx.
- Build predictive models using machine learning algorithms.
- Apply data analytics techniques to real-world problems in different industries with ThingWorx.
SCOPE
- Thingworx Analytics Developer
- Data Analyst
- Business Intelligence Analyst
- Data Scientist
- Machine Learning Engineer
- Predictive Modeler
- Data Engineer
PROJECTS
- Predictive Modelling for Machines
- Prescriptive Modeling
- Analyzing sales data to identify trends and patterns
- Building a predictive model to forecast customer churn
- Creating a data visualization dashboard to monitor social media sentiment
- Developing a recommendation engine using collaborative filtering algorithms
Building a fraud detection system using machine learning algorithms
Program Objectives
- Skill Enhancement: Equip participants with advanced skills in designing, developing, and deploying user interfaces, dashboards, and mobile/web applications specifically for IoT systems.
- Industry Readiness: Prepare participants to meet the industry demands for IoT application development by providing hands-on experience with the latest tools and technologies.
- Innovation and Problem-Solving: Encourage innovation by challenging participants to create user-friendly and efficient interfaces that solve real-world problems in IoT.
- Project Management and Collaboration: Develop skills in project management and collaboration, ensuring participants can work effectively in teams and manage IoT projects from inception to deployment.
- Security and Data Management: Inculcate a deep understanding of the security and data management challenges associated with IoT applications and teach best practices for addressing these challenges.
Expected Outcomes
- Proficiency in UI/UX Design: Participants will be able to design intuitive and responsive user interfaces tailored to IoT applications, ensuring seamless user experiences.
- Technical Expertise: Graduates of the program will be proficient in key technologies and programming languages used in IoT app development, such as JavaScript, Python, Node.js, HTML/CSS, and frameworks like React, Angular, or Flutter.
- Portfolio Development: Participants will develop a portfolio of projects demonstrating their ability to create functional and aesthetically pleasing IoT dashboards and applications.
- Industry Certification: Upon completion, participants will receive a certification that validates their skills in IoT interface and application development.
- Employment Readiness: Graduates will be ready for employment or further education in fields related to IoT, UI/UX design, or software development.
Program Scope
- Target Audience: This program is aimed at software developers, UI/UX designers, IT professionals, and students with a background in computer science or related fields.
- Duration: The program is designed to be completed in 6-12 months, depending on the intensity (full-time/part-time) and prior knowledge of participants.
- Prerequisites: Basic knowledge of programming and web development, familiarity with IoT concepts, and understanding of UI/UX principles.
- Modules Covered:
- Introduction to IoT and IoT Systems Architecture
- Fundamentals of UI/UX Design for IoT Applications
- Programming for IoT (JavaScript, Python, Node.js)
- IoT Dashboard Design and Development
- Mobile and Web App Development for IoT
- Security in IoT Applications
- Data Visualization and Analytics for IoT Dashboards
- Project Management and Agile Methodologies in IoT Development
Projects
- Smart Home Dashboard: Develop a web-based dashboard to monitor and control various IoT devices within a smart home, such as lighting, HVAC systems, and security cameras.
- Industrial IoT Interface: Create a mobile app for real-time monitoring and control of industrial IoT devices, including predictive maintenance and data analytics features.
- Healthcare IoT Application: Design a user-friendly app that tracks patient health data from wearable devices and provides insights for doctors and caregivers.
- Agriculture Monitoring System: Develop an IoT dashboard for monitoring soil moisture, weather conditions, and crop health, integrating data from various sensors.
- IoT-Based Fleet Management System: Create an interface for managing and monitoring vehicle fleets using IoT-enabled GPS and sensor data, focusing on route optimization and maintenance alerts.
