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11 Lessons( 20 week )
- Full Stack Engineering - Micro Course
- 1. Introduction to Full Stack Engineering – Overview 0 minute
- 2. Introduction 0 minute
- 3. Historical Perspective 0 minute
- 4. Front-End Technologies for Industrial Applications 0 minute
- 5. Back-End Development and Architectures 0 minute
- 6. Data Acquisition and Industrial Protocols 0 minute
- 7. Database Management for Time-Series Data 0 minute
- 8. Real-Time Data Processing and Visualization 0 minute
- 9. Industrial IoT and Cloud Integration 0 minute
- 10. Cybersecurity in Industrial Applications 0 minute
- 11. Career Opportunities 0 minute
Course Overview
This course provides a comprehensive guide to becoming a full-stack developer for industrial applications. Industrial applications, such as those in manufacturing, logistics, and energy, require robust, reliable, and secure software. A full-stack developer in this domain needs to be proficient in both front-end (user interface) and back-end (server-side logic, databases) technologies, with a specific focus on the unique demands of industrial environments, including data acquisition from sensors, real-time processing, and integration with legacy systems. The course covers the essential skills and knowledge needed to design, develop, and deploy these complex applications.
Course Objectives
- Understand the fundamental concepts of full-stack development.
- Learn the specific requirements and challenges of industrial applications.
- Master key front-end and back-end technologies.
- Develop skills in data acquisition, real-time processing, and database management.
- Gain experience with industrial protocols and IoT technologies.
- Build a complete industrial application from scratch.
Course Outcomes
The following course outcomes are based on Reigeluth's simplified conditions method, which focuses on identifying the conditions required for effective learning and performance.
- Define the role of a full-stack developer in industrial settings.
- Select appropriate front-end frameworks for an industrial HMI (Human-Machine Interface).
- Design a secure and scalable back-end architecture for a manufacturing execution system (MES).
- Implement a data acquisition module using common industrial protocols like Modbus or OPC-UA.
- Integrate a back-end service with a time-series database to handle sensor data.
- Create a real-time data visualization dashboard using a modern front-end library.
- Develop a RESTful API for communication between industrial devices and a server.
- Apply cybersecurity best practices to an industrial application.
- Troubleshoot and debug issues in a full-stack industrial application.
- Deploy a full-stack industrial application to a cloud or on-premise server.
Course Audience
- Recent graduates in computer science, engineering, or related fields.
- Software developers interested in transitioning to the industrial automation sector.
- Industrial engineers and technicians looking to expand their skill sets in software development.
- IT professionals seeking to specialize in industrial applications and the Internet of Things (IoT).
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