Digital Manufacturing Specialization

Learn Digital Twin Concepts, Architecture, Simulation, AI Integration, PLM, Smart Manufacturing & Future Innovations.

This course gives you a complete foundation in Digital Twin technology and its role in Industry 4.0. You begin by learning the basics of Industry 4.0, core technologies, benefits, challenges, and the introduction to Digital Twins.

You will understand how digital replicas improve efficiency, decision-making, and system optimization across manufacturing and engineering.

By the end, you will have a strong understanding of Digital Twin concepts, technologies, applications, and implementation workflows used in modern engineering and manufacturing.

Learn IIoT, AI/ML, Robotics, Digital Twins, Cloud, Cybersecurity, 3D Printing & AR/VR with Real Case Studies.

This course provides a complete foundation in Industry 4.0 and modern smart manufacturing technologies. You begin by understanding the Industry 4.0 revolution, its key technologies, and how digital transformation is reshaping today’s factories.

You will explore IIoT, big data, AI/ML, robotics, cybersecurity, cloud computing, digital twins, AR/VR, and additive manufacturing. Each module explains the core concepts, industrial use cases, and real manufacturing applications.

Case studies help you understand how global companies implement these technologies for productivity, automation, and innovation.

This course introduces you to the world of robotics and embedded systems through simple explanations and practical projects. You will learn how microprocessors and microcontrollers work, understand communication protocols like UART and I2C, and get familiar with essential electronic components used in robots.

You will explore a wide range of sensors, actuators, input devices, and modules that power modern robotics such as IR sensors, LCD displays, fingerprint scanners, Bluetooth and Wi-Fi modules, PIR sensors, servo motors, GPS modules, and more.

The course includes multiple hands-on robotics projects, including a Line Follower Robot, Smart Parking System, Keypad Locking System, and Wi-Fi Based Home Automation. You will also practice building your own circuits, wiring components on a breadboard, and writing code to control robots.

Learn Sensors, Connectivity, Edge Computing, Cloud Systems, Data Acquisition, and Cybersecurity for Modern Smart Industries.

This course provides a complete introduction to the Industrial Internet of Things (IIoT) and its role in smart manufacturing and Industry 4.0.

You begin by learning what IIoT is, how it works, and the key components that form the foundation of connected industrial systems.

You will study data acquisition, data processing, real-time analytics, and the importance of data in industrial operations. Edge computing modules cover edge devices, analytics, security, practical use cases, and hands-on work with Node-RED and MQTT Explorer.

Cloud computing is covered in depth, including cloud models (IaaS, PaaS, SaaS, FaaS), deployment types, cloud storage, data management, advantages and disadvantages, and key security aspects.

The course also includes cybersecurity for IIoT. Covering challenges, vulnerabilities, protection tools, security protocols, cyber attacks, case studies, and lessons learned from real-world breaches.

Learn Python Programming, NumPy, Pandas, and Matplotlib with Mechanical Engineering–Focused Examples.

This course teaches Python programming from scratch with a direct focus on mechanical engineering applications. You start by learning the basics like Python setup, writing your first program, variables, operators, input/output, and working in the interactive shell.

You will use NumPy for numerical computations, array operations, trigonometric functions, matrices, and other tasks used in mechanical design and analysis. Pandas is introduced for data handling like Series, DataFrames, indexing, slicing, Excel and CSV processing, pivot tables, and mechanical engineering-related analysis examples.

Throughout the course, ChatGPT is used as a learning assistant for debugging, code explanation, plotting help, and data-analysis support.

Learn PLC Hardware, Ladder Logic, Advanced Programming, Communication, Troubleshooting, and Real Industrial Case Studies.

This course introduces you to the fundamentals of Programmable Logic Controllers (PLCs) and industrial automation.

You start by understanding what a PLC is, how it works, and where it is used in modern manufacturing systems. You then explore PLC hardware, software tools, and the complete workflow of building and testing control programs.