TRAINING COURSE
AI in Industrial and Civil Engineering
STARTING TWICE A MONTH
DURATION 7 WEEKS
‎‎ ‎9 000 €
This course is intended for students and professionals in the fields of Industrial and Civil Engineering who are interested in exploring the applications of AI within these domains. Whether you're a student seeking to broaden your knowledge or a practicing engineer looking to stay updated on the latest advancements, this course offers valuable insights and practical knowledge.
Specialized Expertise in AI for Engineering
Competitive Edge in Engineering Careers
Leadership in Engineering Innovation
Training Course Program
STARTING TWICE A MONTH
Lecture 1:
Fundamentals of AI
  • Introduction to the concept of AI and its role in engineering
  • History of AI development and basic principles of AI operation
  • Application of AI in industrial and civil engineering
Lecture 2:
AI Technologies and Tools
  • Overview of key technologies and tools in the field of AI
  • Examples of successful AI tool application in engineering systems
  • Evaluation of pros and cons of various approaches to applying AI in engineering
Lecture 3:
AI in Design
  • Integration of AI into engineering system design processes
  • Automation of design processes using Machine Learning and optimization algorithms
  • Examples of AI application in designing various types of engineering structures
Lecture 4:
Data Analysis and Forecasting in Engineering
  • The role of AI in analyzing and processing large volumes of data in engineering systems
  • Forecasting technical parameters and solving prediction tasks using ML methods
  • Practical examples of data analysis and forecasting in industrial and civil engineering
Lecture 5:
Production Process Management with AI
  • Applying AI to optimize production processes in engineering
  • Development and implementation of production management systems based on ML algorithms
  • Practical examples of successful implementation of production management systems using AI
Lecture 6:
Resource Optimization and Energy Efficiency
  • The role of AI in optimizing resource utilization in engineering systems
  • Methods and models for optimizing energy consumption and other resources using AI technologies
  • Practical examples of improving energy efficiency and resource optimization in industrial and civil construction
Lecture 7:
Advanced AI Applications in Engineering
  • Exploring advanced applications of AI in engineering fields
  • Cutting-edge technologies and emerging trends in AI for engineering applications
  • Case studies showcasing innovative uses of AI in industrial and civil engineering projects
Lecture 8:
Ethical and Societal Implications of AI in Engineering
  • Discussion on ethical considerations surrounding the use of AI in engineering
  • Impact of AI on society, including job displacement and inequality
  • Strategies for responsible AI deployment and addressing societal concerns
Practical Session 1:
Developing a Construction Parameter Prediction Model
  • Creating and training a ML model for predicting construction parameters using Python and the scikit-learn library
  • Analyzing results and assessing model accuracy using real-world data
Practical Session 2:
Developing a Production Process Management System
  • Implementation of a production management system using Python and the TensorFlow library
  • Testing and optimization of the management system based on real production data
Practical Session 3:
Energy Consumption Optimization with AI
  • Designing and developing a model to optimize energy consumption in engineering systems using Python and the Keras library
  • Experimenting with the model using real-world data to improve energy efficiency
Practical Session 4:
Integration of AI into Engineering Systems
  • Integrating developed models and management systems into real engineering systems
  • Testing and analyzing the effectiveness of AI implementation in industrial and civil construction
What kind of result will you get
Participants in the course can expect to achieve a deeper understanding of how AI is applied in industrial and civil engineering, improving their problem-solving skills and boosting confidence in tackling engineering challenges. This enhanced knowledge opens doors to new career opportunities in AI-driven design, predictive maintenance, and smart infrastructure development.
Student feedback on the course
Great course! Covered relevant AI applications in engineering with clear explanations and practical examples.
Bronislav Kuznetsov
Impressed by the depth of knowledge gained. Enjoyed the practical implementation emphasis.
Zoroslava Grubišić
Valuable for expanding engineering skill set. Eye-opening insights into AI-driven solutions.
Ravi Patel
Comprehensive overview of AI in engineering. Networking opportunities were a bonus.
Dobromir Gavrilović
Instructors were knowledgeable and passionate. Empowered to apply AI techniques in projects.
Zlatomir Ilić
What you will get after the course
  1. Proficiency in applying AI techniques to industrial and civil engineering challenges.
  2. Improved problem-solving skills through real-world case studies and practical exercises.
  3. Expanded career opportunities in AI-driven design, predictive maintenance, and smart infrastructure development.
  4. Enhanced confidence in tackling engineering projects with AI-driven approaches.
  5. Access to a valuable network of peers and industry professionals for potential collaborations and mentorships.
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