Introduction to Industry 4.0 offers a window into the impact of the Fourth Industrial Revolution and its accompanying technologies on the modern manufacturing industry. Using examples and analogies from real-world enterprises, the course explores Industry 4.0 concepts, processes, and technologies, and testifies to how these components interconnect together in order to grow the manufacturing industry of the future.

Course Outline

• What is Industry 4.0?
• Technologies that Drive Industry 4.0
• Challenges for Industry 4.0
• Quality 4.0
• Supply Chain 4.0
• Data Standardization
• Internet and Ethernet
• The Internet of Things
• Industrial Control Systems and IIoT
• Big Data
• Automation & Software Technologies
• VR, AR, and AI
• Maintenance 4.0
• Flexible Production
• Maturity Models for Industry 4.0

Introduction to the Internet of Things and Connectivity focuses on the vast network of smart sensors and devices and their impact on the manufacturing world. This course also explores topics related to the interconnection of IoT and industrial devices, such as SCADA systems, cloud computing, edge computing, and machine vision systems.

Course Outline

• Introduction to Sensors, Smart Sensors, and Actuators
• Introduction to PLCs
• IoT and IIoT
• IIoT Opportunities, Risks, and Challenges
• The Potential of Connectivity in IIoT
• How a Sensor Connects to the Cloud
• Introduction to Edge Computing
• SCADA Systems
• Vision Systems
• Architecture of Smart Manufacturing Systems
• Introduction to Communication Protocols
• Tracking Methods

Introduction to Networking and Cybersecurity is an in-depth look at communication exchange in modern industry, from the Internet to the Industrial Internet of Things (IIoT) and Cloud technologies. The course covers key networking principles, and concentrates on the structure and importance of industry-focused cybersecurity exploring threats that manufacturing entities have to contend with and combat.

Course Outline

• IP Networking Basics
• Communication Protocols
• Cloud Computing
• Components of the Manufacturing Network
• Securing Digital Manufacturing Operations
• Cyber Threats & Basic Cybersecurity Practices
• Essential Cyber System Technologies
• Malware & Malware Protection
• Identifying Cyber Attacks & Cyber Breach Response
• IIoT Cybersecurity Basics
• Cloud Cybersecurity Basics
• Cybersecurity Resources

The curriculum explores the modern world of data, including its collection, processing, management, visualization, and ultimately, its uses. The course also delves into big data implementation in cutting-edge manufacturing, and machine learning, predictive analytics, modeling, simulation, improvement of processes and progress indicators.

Course Outline

• Introduction to Big Data
• Characteristics of Big Data and Dimensions of Scalability
• Intelligent Decision Making and Getting Value Out of Big Data
• Data Collection and Management
• Algorithms, Computing, and Descriptive Statistics
• Data Analysis
• Visualization of Data
• Predictive Analytics and Modeling
• Machine Learning
• Introduction to KPIs
• Improving KPIs with Big Data
• Database Fundamentals
• Data Warehousing
• Data Mining
• Cloud Computing for Big Data
• Data-Driven Innovation