RWTH Certificate Program and Short Courses

These courses are prepared to provide professional engineers, researchers and students Industry 4.0, from the theoretical aspect up to real practical implementation knowledge and skills. These programs are comprehensive industrial based professional learning in the area of digital manufacturing and referenced to existing professional program of International Academy, RWTH Aachen University. The core modules of the program will be delivered by two RWTH Aachen University experts concurrently for effective delivery, comprehensive hands-on programming and demonstration. Participants will earn certificate from International Academy, RWTH Aachen University upon successfully completing the program and passing the examination.

DATA SCIENCE FOR
PRODUCTION SYSTEM

INTELLIGENT ROBOTICS FOR
PRODUCTION SYSTEM

SMART AUTOMATION FOR
PRODUCTION SYSTEM

DIGITAL SOLUTION IN
PRODUCTION SYSTEM

RWTH
SHORT COURSES

Professional Certificate Program of Digital Manufacturing Transformation by RWTH Aachen University (Data Science for Production System)

TARGET PARTICIPANTS

  • Professional Engineers

  • Managers

  • Lecturers

  • Higher learning Undergraduate & Postgraduate students

HRDF CLAIMABLE

VIEW CERTIFICATE

COURSE OUTLINE

  • Concepts and Definitions of Industry 4.0

  • Industrial Revolution

  • Industry 4.0 and the Future of Production

  • Smart Factory Architecture

  • Security Challenges and Vulnerabilities

  • Authentication and Authorization

  • Data Integrity

  • Securing Data and Securing Device

DURATION

3 Days

COURSE OUTLINE

  • IIoT Hardware & Software

  • IIoT Communication and Networking Protocols

  • IIoT Systems & Applications Challenges and Platform

  • Industrial Sensors and Actuator

  • Design Sensor for Smart Factory

  • Full Day Practical Hands-on with IoT Platform with Real Use-case Study

DURATION

4 Days

COURSE OUTLINE

  • IIoT Communication for Modern Production

  • Edge Technology: RFID, NFC, Bluetooth, ZigBee, Sub-GHz etc

  • Wireless Protocol (MAC) Layer and Network Topology Analysis

  • Industry 3 Real Time Control Processes and Real-time Communication

  • Layer Model from Physical Layer to Ethernet and TCP/IP

  • Modern Ethernet-based Automation Busses

  • Rabbit MQ, MQTT, Zero MQ, DDS & RTI’s DDS Free Demo for Windows

  • Introduction to ROS & Linux, Communication with Robots

  • Full-day Hands-on Program

DURATION

3 Days

COURSE OUTLINE

  • Introduction to data integration, analysis and mining (data analytics in production, machine learning, big data definition)

  • Industrial big data scenarios, data ware house, hadoop (DFS/YARN difference)

  • Holistic Use Case: Big Data/Data Analytics VisAn in a production scenario

  • Data Source Systems: practical session (RDBMS, OPC-UA, DDS, MQTT … ), data change capture RDBMS

  • Extracting databases, processing of data before integration, world of available Apache Technologies

  • Practical Session

  • Machine learning on big data, big data preprocessing, hands-on session preprocessing

  • From Data Analytics to Visual Analytics

  • Target-adaptive visualization, specific problem visual analytics (histogram)

  • Introduction to various visual analytic tools

  • From observations and models to data, real-world data in CPS and robotic environments

  • Specific task pre-processing (e.g. dimensionality reduction), coping with real-world data in CPS and robotic environments

  • Introduction to heuristics, introduction to rule-based programming

  • BRMS and forward/backward chaining

  • Expert systems and decision support systems, Heuristic and rule-based systems in robotics

  • Introduction to machine learning-supervised, unsupervised and reinforcement learning

  • How to build applications around DSS and recommendation system, real-world industrial applications and challenges to solve

  • Introduction to use case scenario, building a first solution for the use case

  • Advancing the solutions towards the extended use case

  • Presentation and discussion of final solutions

  • Solving the use case example – discussing another solution and the corresponding technologies

  • Building a solution for the use case

  • Examination

DURATION

10 Days

COURSE OUTLINE

  • Practical Implementation to be supervised by RWTH Aachen University representatives

  • The participants must demonstrate the actual implementation in the company or to complete actual industrial project from RWTH Aachen University

DURATION

6 Months

Professional Certificate Program of Digital Manufacturing Transformation by RWTH Aachen University (Intelligent Robotics for Production System)

TARGET PARTICIPANTS

  • Professional Engineers

  • Managers

  • Lecturers

  • Higher learning Undergraduate & Postgraduate students

HRDF CLAIMABLE

VIEW CERTIFICATE

COURSE OUTLINE

  • Concepts and Definitions of Industry 4.0

  • Industrial Revolution

  • Industry 4.0 and the Future of Production

  • Smart Factory Architecture

  • Security Challenges and Vulnerabilities

  • Authentication and Authorization

  • Data Integrity

  • Securing Data and Securing Device

DURATION

3 Days

COURSE OUTLINE

  • IIoT Hardware & Software

  • IIoT communication and networking protocols

  • IIoT Systems & Applications Challenges and Platform

  • Industrial Sensors and Actuator

  • Design Sensor for Smart Factory

  • Full Day Practical Hands-on with IoT Platform with Real Use-case Study

DURATION

4 Days

COURSE OUTLINE

  • IIoT Communication for Modern Production

  • Edge Technology: RFID, NFC, Bluetooth, ZigBee, Sub-GHz etc

  • Wireless Protocol (MAC) Layer and Network Topology Analysis

  • Industry 4.0 real time control processes and real time communication

  • Layer model from physical layer to Ethernet and TCP/IP

  • Modern ethernet based automation busses

  • Rabbit MQ, MQTT, Zero MQ, DDS & RTI’s DDS free demo for windows

  • Introduction to ROS & Linux, communication with robots

  • Full day hands-on program

DURATION

3 Days

COURSE OUTLINE

  • Robot Operating System, Demonstration of ROS-based Systems, Linux + ROS

  • Filesystem

  • Review of Communication, ROS and Linux

  • Introduction to Mobile Robotics Hardware + Software-Concepts

  • ROS Basic: Packages, Nodes, Topics, Publishing, Subscribing, Services, Action Services

  • Logging, Debugging, Practical Session ROS

  • Gazebo Basic: Models, Worlds, Gazebo with ROS – URDF, Connecting Gazebo and ROS, Practical Session Gazebo & URDF

  • ROS Theory: Sensor & Hardware Drivers, Practical Session

  • ROS Theory: Localization, Mapping & Motion Planning

  • Vision and Laser Sensor, Acquisition of Vision and Laser Sensor Visualization

  • Mobile Robotics Drive, Moving the Robots

  • Semantics and Syntax of Task-level Planning Concepts

  • Practical Session – Writing the First-Agent Logic

  • Introduction to Logistics Task, Mapping the Log Task to Rules and Facts

  • Implementing Rules and Facts for the Agent

  • Implementing Task-level Planner on the Real Robots

  • Hierarchical Motion Planning Concept

  • Practical Sessions: Starting the Path Planner in Simulation, Defining Global Search Graph, Connecting Nodes and Edges on 2D

  • Apply Planning Algorithm on Search-graph, Application in Logistics: Tasks of Global Path Planning

  • Bringing Up the Global Path Planner on the Real Robots

  • Local Path Planning and Collision Avoidance, Visualization of Cost Maps

  • Configuration of Local Path Planning and Collision Avoidance

  • Applying Local Path Planning on the Real Robot

  • Introduction to Test Phase

  • Concept of State-machines, Applying Behaviors as Skills, Monitoring Path Execution

  • Solving Intralogistics Task with Skills, Separation and Connection into Serialized Behavior Calls from Task-level Planner

  • Examination

DURATION

10 Days

COURSE OUTLINE

  • Practical Implementation to be supervised by RWTH Aachen University representatives

  • The participants must demonstrate the actual implementation in the company or to complete actual industrial project from RWTH Aachen University

DURATION

6 Months

Professional Certificate Program of Digital Manufacturing Transformation by RWTH Aachen University (Smart Automation for Production System)

TARGET PARTICIPANTS

  • Professional Engineers

  • Managers

  • Lecturers

  • Higher learning Undergraduate & Postgraduate students

HRDF CLAIMABLE

VIEW CERTIFICATE

COURSE OUTLINE

  • Concepts and Definitions of Industry 4.0

  • Industrial Revolution

  • Industry 4.0 and the Future of Production

  • Smart Factory Architecture

  • Security Challenges and Vulnerabilities

  • Authentication and Authorization

  • Data Integrity

  • Securing Data and Securing Device

DURATION

3 Days

COURSE OUTLINE

  • IIoT Hardware & Software

  • IIoT communication and networking protocols

  • IIoT Systems & Applications Challenges and Platform

  • Industrial Sensors and Actuator

  • Design Sensor for Smart Factory

  • Full Day Practical Hands-on with IoT Platform with Real Use-case Study

DURATION

4 Days

COURSE OUTLINE

  • IIoT Communication for Modern Production

  • Edge Technology: RFID, NFC, Bluetooth, ZigBee, Sub-GHz etc

  • Wireless Protocol (MAC) Layer and Network Topology Analysis

  • Industry 4.0 real time control processes and real time communication

  • Layer model from physical layer to Ethernet and TCP/IP

  • Modern ethernet based automation busses

  • Rabbit MQ, MQTT, Zero MQ, DDS & RTI’s DDS free demo for windows

  • Introduction to ROS & Linux, communication with robots

  • Full day hands-on program

DURATION

3 Days

COURSE OUTLINE

  • Introduction into industrial automation and areas of applications

  • Heterogeneous control architectures

  • Industry 4.0, enabling technologies for Industry 4.0, methodology and operating principles

  • Practical applications

  • ROS: communication with robots

  • PLM-based robotics applications, new control paradigms for future production plants

  • Lab understanding of actual Smart Automation Lab of RWTH

  • Innovative technologies for the human-machine interaction on the shop floor

  • Practical exercise hands on

  • Current developments in production technology

  • Integrated production technology, networking of production plants

  • Flexibilization of production plants

  • Enabling technologies of Industry 4.0 (OPC UA, radio…)

  • Challenges of a continuous (data) automation pyramid, potentials and challenges of cloud computing

  • Human-machine interaction & Human-robot collaboration

  • Lab visit: Smart Automation Lab

  • Case study

  • Internet of Production for robot-based plants, assembly robotics and smart automation

  • Introduction to the practical application exercise

  • Working on application with real use-case

  • Examination

DURATION

10 Days

COURSE OUTLINE

  • Practical Implementation to be supervised by RWTH Aachen University representatives

  • The participants must demonstrate the actual implementation in the company or to complete actual industrial project from RWTH Aachen University

DURATION

6 Months

Professional Certificate Program of Digital Manufacturing Transformation by RWTH Aachen University (Digital Solution in Production System)

TARGET PARTICIPANTS

  • Professional Engineers

  • Managers

  • Lecturers

  • Higher learning Undergraduate & Postgraduate students

HRDF CLAIMABLE

VIEW CERTIFICATE

COURSE OUTLINE

  • Concepts and Definitions of Industry 4.0

  • Industrial Revolution

  • Industry 4.0 and the Future of Production

  • Smart Factory Architecture

  • Security Challenges and Vulnerabilities

  • Authentication and Authorization

  • Data Integrity

  • Securing Data and Securing Device

DURATION

3 Days

COURSE OUTLINE

  • IIoT Hardware & Software

  • IIoT communication and networking protocols

  • IIoT Systems & Applications Challenges and Platform

  • Industrial Sensors and Actuator

  • Design Sensor for Smart Factory

  • Full Day Practical Hands-on with IoT Platform with Real Use-case Study

DURATION

4 Days

COURSE OUTLINE

  • IIoT Communication for Modern Production

  • Edge Technology: RFID, NFC, Bluetooth, ZigBee, Sub-GHz etc

  • Wireless Protocol (MAC) Layer and Network Topology Analysis

  • Industry 4.0 real time control processes and real time communication

  • Layer model from physical layer to Ethernet and TCP/IP

  • Modern ethernet based automation busses

  • Rabbit MQ, MQTT, Zero MQ, DDS & RTI’s DDS free demo for windows

  • Introduction to ROS & Linux, communication with robots

  • Full day hands-on program

DURATION

3 Days

COURSE OUTLINE

  • Elaboration of approaches for solutions, economic benefits

  • Digital applications in production, data-based value stream mapping

  • Data processing and programmable logic control

  • Digital business models in practice

  • Sensor technology and measurement technology for production

  • Programmable logic controller

  • Exemplary sensor technology and data extraction in measuring system

  • Integrated product technology

  • Machine to human interface

  • Machine-robot collaboration

  • Apps development

  • Hands-on activities

  • Introduction to and advantages of Augmented Reality/Virtual Reality, theoretical and practical requirements

  • Demonstrations of AR/VR solutions in the model factory

  • Programming a Daydream application

  • Creation of animations, introduction of software technologies

  • Application for maintenance work in production

  • Examination

DURATION

10 Days

COURSE OUTLINE

  • Practical Implementation to be supervised by RWTH Aachen University representatives

  • The participants must demonstrate the actual implementation in the company or to complete actual industrial project from RWTH Aachen University

DURATION

6 Months

Data Science for Engineers

Industrial Big Data in Practice

Communication in Industry 4.0

Mobile Robotic Systems in Intralogistics

Data Science
for Engineers

ENQUIRY & REGISTRATION

OVERVIEW

Test methods and procedures of machine learning and apply these to real production data to generate valuable insights for your company and your business processes. Moreover, you will learn to apply and use the basics of data-analytical procedures.

As part of industrial manufacturing, continuously improving ongoing processes is becoming ever more important, e.g. to predictively maintain machines or sustainably improve production processes.

You are an engineer in the areas of production, research & development, optimization or planning with a fundamental understanding of data structures and object-oriented programming.

For more information on this course, Click Here.

Industrial Big Data in Practice

ENQUIRY & REGISTRATION

OVERVIEW

Experience the difference between "Big Data" and "Industrial Big Data" in the context of production. You will receive insight into the required integration tools and structures of a highly distributed data analysis.

Data is the oil of the 21st century, and data analysis is the engine! Despite the multi-faceted collection of production data, the targeted usage of this data is often lacking since data integration and comparative observation are often fraught with difficulties. With the right analysis, however, data reveal hidden patterns and connections assisting in process optimization and continuous improvement.

You are an engineer in the areas of mechanical engineering and/or electrical engineering with a fundamental understanding of data concepts.

For more information on this course, Click Here.

Communication in Industry 4.0

ENQUIRY & REGISTRATION

OVERVIEW

Optimally exploit the potential of a continuous production network and understand its implementation. Moreover, you will get to know interactive information networks and learn to create scalable networks by applying technologies and theoretical concepts (among them OPC UA, DDS, MQTT, and RabbitMQ).

Networked production creates interoperability between formerly proprietary, separated systems. With continuous communication between the elements of a production network, intelligent, self-learning and self-regulating systems are generated which autonomously optimize themselves based on current sensor technology. Efficient processing and analysis of data allows companies to respond to changed framework conditions in nearly real time and to adaptively adjust their production processes.

You are an engineer from the area of mechanical engineering and/or electric engineering with fundamental knowledge of communication in computer networks.

For more information on this course, Click Here.

Mobile Robotic Systems in Intralogistics

ENQUIRY & REGISTRATION

OVERVIEW

Learn how to control mobile robotics systems in the intralogistic environment. You will work directly with the software architecture allowing robots to freely navigate in a room and to autonomously execute material flow tasks. You will also get to know the open source project Robot Operating System (ROS).

The increasing variety and short-lived nature of products are two key drivers of using flexible material flow systems in the production area. Aside from fixed transport systems, the past ten years have seen ever more automated guided vehicles (AGV) come into use. Further development towards autonomous mobile robotics systems thus allows free and autonomous decision-making.

You are an engineer or computer scientist in the areas of mechanical engineering, electrical engineering, and computer science with programming knowledge in C++ and Python.

For more information on this course, Click Here.

Modern Industrial Engineering

Robot Operating System (ROS) for Industrial Robots

Smart Engineering for Smart Factories

Automation

Modern Industrial Engineering

ENQUIRY & REGISTRATION

OVERVIEW

Learn the basics of industrial communication and get to know the technological basis required for the digital transformation. You will understand the concept of cyber-physical systems and digital twins.

The buzzword Industry 4.0 describes a collection of technologies leading to the factory of the future. To understand, categorize, and successfully apply the theoretical foundation, i.e. the technological basics for the digital transformation, an entirely new understanding is necessary.

You are an engineer in the area of mechanical engineering and electrical engineering and have fundamental knowledge of production technology.

For more information on this course, Click Here.

Robot Operating System (ROS) for Industrial Robots

ENQUIRY & REGISTRATION

OVERVIEW

Control a real robot and thus get to know the ROS middleware and the tools to develop modern robotics systems. Moreover, you will use the concepts publish-subscribe, service and action servers. You will also test methods to localize, map and plan movements in ROS.

The Robot Operating System (ROS) has achieved an impressive influence in research and product development. It contains many open source implementations of common robotics functions and algorithms in areas such as perception, knowledge representation as well as planning and control. With mobile and stationary robotics systems as well as underwater robots or flying drones, there are few limits to the applicability of the software.

You are an engineer or computer scientist in the areas of mechanical engineering, electrical engineering, and computer science.

For more information on this course, Click Here.

Smart Engineering for Smart Factories

ENQUIRY & REGISTRATION

OVERVIEW

Acquire the basics of digitalized production and focus on the integration of modern information technologies into technical processes. You will be able to successfully implement engineering approaches and concepts. In addition, you'll get to know both the Product Lifecycle Management (PLM) and the potentials of "front loading."

The Smart Factory networks and automates machines and plants to autonomously adapt production steps to each other. Product families with numerous variants and shorter and shorter product life cycles require efforts to be shifted to engineering development ("front loading"). With a continuously available planning chain, new product variants can be produced efficiently.

You are an engineer from the areas of mechanical engineering and/or electrical engineering.

For more information on this course, Click Here.

OVERVIEW

Experience current and future trends of automated production and learn the basics of all levels of automation technology. You will be introduced to applied technologies, their functionality, requirements, and the framework conditions for planning and implementing automated systems.

Automated production today represents an important economic sector in German machine and plant engineering. Product-centered control, CPS, networking of virtual and real world, individualized production and humanrobot cooperation unlock numerous potentials: from increased efficiency to the foundation for new business models.

You are an executive or decision maker in the areas of manufacturing and production.

For more information on this course, Click Here.

Smart Automation Expert

Digital Solutions in Production

Visualization through Augmented/Virtual Reality

From Sensor to App

Smart Automation Expert

ENQUIRY & REGISTRATION

OVERVIEW

You will understand the ideas and concepts of a networked factory based on practical examples and your own implementation of a robot-based application. You will receive a fundamental understanding of current topics, changes, and trends in production automation.

Automated production today represents an important economic sector in German machine and plant engineering. Product-centered control, CPS, networking of virtual and real world, individualized production, and humanrobot cooperation unlock numerous potentials: from increased efficiency to the foundation for new business models.

You are an expert or executive in the areas of manufacturing, production, or mechanical engineering.

For more information on this course, Click Here.

Digital Solutions in Production

ENQUIRY & REGISTRATION

OVERVIEW

Reveal waste and inefficient processes in various areas of production and get to know the meaning of Industry 4.0. You will learn how to identify procedural weaknesses and how to generate digital applications and proposed solutions along the value chain.

Industry 4.0 is considered a tremendous opportunity to increase competitiveness. Optimizing and automating processes, networking systems as well as implementing new technologies pose fresh challenges to companies. The digital transformation allows productivity increases, reductions of waiting and maintenance costs as well as shortening the time to market.

You are an engineer, technician, manager and/or executive in the areas of mechanical engineering, manufacturing, electrical engineering, IT, digitalization, HR, operative, and strategic management.

For more information on this course, Click Here.

Visualization through Augmented/Virtual Reality

ENQUIRY & REGISTRATION

OVERVIEW

Experience the difference between Augmented and Virtual Reality applications and learn more about the various areas of application. Whether in marketing, for teaching platforms or maintenance work in production: Independently setting up Daydream applications and programming Augmented Reality applications with the aid of CAD models will allow you to learn how to autonomously handle these technologies.

Augmented and Virtual Reality applications are key for the ongoing digitalization in the company to map production processes and products close to reality and to use these for a targeted marketing. Employing these technologies in production can lead to increased efficiency and productivity. They serve to reduce machine downtime, thus rendering remote maintenance systems and the use of technicians obsolete.

You are an engineer, technician, manager or executive in the areas of marketing, mechanical engineering, manufacturing, communication.

For more information on this course, Click Here.

From Sensor to App

ENQUIRY & REGISTRATION

OVERVIEW

Learn the basics of sensor technology, control technology, data processing and visualization and put it to use in real machines. You will be able to conduct independent automation projects, identify relevant partners and put together development teams. You will develop your own app to visualize real time machine data.

In the field of Industry 4.0, data play a key role. Merely collecting large amounts of data on the road to digital transformation is hardly efficient since a suitable cross-company strategy for the further processing of the data is rarely in place. Generating economic usefulness from typical Industry 4.0 technologies therefore is only possible as part of a suitable, company-specific strategy of data processing.

You are an engineer, technician, electrician, IT employee in the areas of mechanical engineering, electrical engineering, production/manufacturing.

For more information on this course, Click Here.

Chief Technology Manager

5G Communication and the Internet of Things

Chief Technology Manager

ENQUIRY & REGISTRATION

OVERVIEW

Implement successful approaches to technology and innovation management, develop a consistent strategy, identify new technologies, develop these goal-specifically and implement innovative business models for your individual market success.

Creating and maintaining a successful competitive position requires choosing the right technologies. Ever shorter technology and product life cycles, increasing global competition and growing individualization of products demands that companies have the key skill of knowing or anticipating the needs of their customers. A well-conceived technology management accordingly is no longer a luxury but a must have!

You are an expert or executive in a technology-oriented company with at least 5 years of professional experience in the areas research or development, technology and innovation management, new business development and strategy, production or technical purchasing.

For more information on this course, Click Here.

5G Communication and the Internet of Things

ENQUIRY & REGISTRATION

OVERVIEW

Learn the principles and technologies of future wireless 5G communications systems in the areas of system design, communications technology, optimization of LTE systems, HF systems and IoT platforms. Get to know methods and tools to create the foundation for new products and to successfully keep them on the market.

5G has the potential of revolutionizing key industries such as health care, transport, infrastructure, media and production. This brings with it important tasks and great challenges: extremely low latency periods of 1 millisecond, 100 times higher data rates than today's networks, 100 billion end devices across the world as well as low power usage. The Internet of Things and intelligent networks are key elements of 5G. The methods and approaches of this technology open many new business models for SMEs.

You are an engineer and/or executive with a technical degree in the areas of electrical engineering, manufacturing, mechanical engineering.

For more information on this course, Click Here.