TRAINING COURSE

Advanced Industrial Automation: Integrating AI and Emerging Technologies

STARTING TWICE A MONTH
DURATION 7 WEEKS
‎‎ ‎9 000 €
This course is designed for engineers, technicians, and industry professionals who are already familiar with industrial automation concepts and seek to advance their knowledge in integrating ce AI and emerging technologies into manufacturing processes. Whether working in manufacturing, logistics, energy, or related industries, participants will benefit from this course by gaining the skills needed to optimize automation systems, improve efficiency, and stay competitive in an increasingly AI-driven industrial landscape.
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Training Course Program
STARTING TWICE A MONTH
Lecture 1:
Introduction to Industrial Automation
  • Overview of current trends and challenges in industrial automation
  • The role of AI and new technologies in optimizing manufacturing processes
Lecture 2:
Fundamentals of AI
  • The concept of AI and its main approaches
  • Machine Learning (ML) and Deep Learning (DL): principles of operation and practical applications
Lecture 3:
Integration of AI into industrial processes
  • Application of ML algorithms to analyze manufacturing data.
  • Optimizing production chains using predictive analytics and optimization.
Lecture 4:
Internet of Things (IoT) in industry
  • The basics of IoT and its role in industrial automation.
  • Application of sensors and communication devices to monitor and control manufacturing processes.
Lecture 5:
Digital twins and virtual representations of manufacturing
  • The concept of digital twin of production and its advantages.
  • Creation of virtual models of production systems and their use for analysis and optimization.
Lecture 6:
Robotization and automation of production
  • Trends in the development of robotics in industry.
  • Application of robots and automated systems to perform various tasks in production
Lecture 7:
Cloud technologies for automation of industrial processes
  • The role of cloud computing in industrial automation.
  • Benefits of cloud services for scaling and optimizing production
Lecture 8:
Ethics and safety in industrial automation
  • Ethical issues in the use of AI and automated systems in industry.
  • Security and data protection measures when implementing new technologies in manufacturing
Practical Session 1:
Analysis and processing of production data using Python and ML libraries (NumPy, Pandas, Scikit-learn):
  • Introduction to Python basics for data analysis: working with data arrays, basic data operations
  • Introduction to ML libraries: NumPy for array manipulation, Pandas for data manipulation, and Scikit-learn for ML models
  • Practical tasks for analyzing production data: data loading, cleaning, and preprocessing, data visualization, training and evaluating mML models for forecasting production parameters
Practical Session 2:
Designing and developing a prototype IoT system for monitoring production parameters using Arduino and sensors:
  • Familiarization with the Arduino platform: basic operations, connecting sensors, and peripheral devices
  • Designing connection diagrams and programming Arduino for collecting data from production equipment
  • Setting up and programming sensors to measure various production parameters (temperature, humidity, pressure, etc.)
  • Creating a prototype IoT system for transmitting data from Arduino to a cloud data storage for further analysis
Practical Session 3:
Creating a virtual model of the production system using virtual reality (VR) tools and specialized software (e.g., Siemens Tecnomatix):
  • Introduction to virtual reality basics and software tools for modeling production systems
  • Creating a 3D model of the production workshop using specialized software tools
  • Developing a virtual model of the production process: equipment layout, optimization of layout, and material flow routes
  • Visualization and analysis of production processes in a virtual environment to identify bottlenecks and potential improvements
  • Developing a robot control program to perform a specific task in production using ROS (Robot Operating System)
Practical Session 4:
Introduction to ROS: basic concepts and system architecture
  • Creating a control program for the robot: configuring communication with the robot, programming movements, and operations
  • Practical tasks for programming the robot to perform a task in production, such as sorting parts, packaging products, or assembling items
  • Testing and debugging the robot control program on real or virtual hardware
What kind of result will you get
Participants will emerge with a deep understanding of how AI and emerging technologies are transforming industrial automation and the skills needed to leverage these advancements to drive innovation and competitiveness in their respective industries. Whether working in manufacturing, logistics, energy, or other industrial sectors, graduates of this course will be well-equipped to navigate the complexities of modern automation systems and lead their organizations into the future of Industry.
Student feedback on the course
Informative course. Clear explanations and practical exercises. Valuable insights gained.
David Garij
Great learning experience. Instructors were knowledgeable. Practical skills acquired.
Svetlana Kazakova
Highly valuable content. Course surpassed expectations. Ready to apply skills.
Rahib Hadimov
Excellent course. Engaging content, instructors, and examples. Highly recommended.
Elizaveta Yefimova
Solid learning opportunity. Practical knowledge gained. Appreciated the insights.
Yaroslav Zhigalov
What you will get after the course
  1. Advanced Knowledge: A deep understanding of integrating AI and emerging technologies into industrial automation.
  2. Practical Skills: Hands-on experience in implementing predictive maintenance, optimizing processes with ML, and deploying autonomous robotics.
  3. Competitive Edge: A competitive advantage in the job market by being proficient in advanced industrial automation techniques.
  4. Innovation Leadership: The ability to drive innovation within organizations by proposing and implementing cutting-edge automation solutions.
  5. Career Advancement: Opportunities for career advancement in automation engineering, process optimization, and leadership roles.
Official school certificate
Recordings of all lectures
10% discount on any of our courses
Price without discount 10 000 €
9 000 €
Course fees
If you register early (over a month prior to the beginning of the course), you will receive a 10% discount on the entire program.
Register for the course and get 10% off!
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"Cosmopolitacademy" LLC
264.110.1320023
TIN: 08256519
Komitas 19/1, Erevan, Armenia