Using Artificial Intelligence in Operating Automated Systems
Artificial Intelligence (AI) is revolutionizing how automated systems operate across industries, transforming traditional workflows into intelligent, adaptive environments.
- 5training days
- 5modules
- 10sessions
- 30topics
About the programme
Course Overview
Artificial Intelligence (AI) is revolutionizing how automated systems operate across industries, transforming traditional workflows into intelligent, adaptive environments.
By integrating AI into automation, organizations can achieve real-time decision-making, predictive maintenance, dynamic control, and enhanced operational efficiency.
AI-powered systems are capable of learning from data, responding to changing conditions, and optimizing performance without human intervention—making them essential for modern manufacturing, logistics, energy, and healthcare sectors.
Operating automated systems with AI requires a deep understanding of machine learning models, control algorithms, data analytics, and the digital infrastructure that supports intelligent automation.
This workshop is designed to equip participants with the knowledge and practical skills to design, manage, and optimize AI-driven automated systems.
Over five days, attendees will explore AI fundamentals, smart system architecture, predictive analytics, adaptive control, and continuous improvement strategies—preparing them to lead innovation and digital transformation in their organizations.
Expected Learning Outcomes
Understand the fundamentals of AI and its applications in automation
Design intelligent systems using machine learning models
Use predictive analytics to enhance system performance
Operate and manage automated systems with adaptive control
Support innovation and digital transformation through AI integration
Who Should Attend
Automation and control system engineers
Digital transformation and operations managers
AI and software developers
Technical project leaders
Students of computer engineering and information technology
Course Modules
Open any module to see its sessions and topics.
01Introduction to AI and Automated Systems
Session 1Core Concepts of Artificial Intelligence
- AI vs. machine learning
- Types of algorithms and models
- Industry applications of AI
Session 2Traditional vs. Intelligent Automation
- Features of smart automated systems
- Challenges of autonomous operation
- Integrating AI with control systems
02Designing Intelligent Systems
Session 1Building Smart Operational Models
- Defining inputs and outputs
- Selecting appropriate algorithms
- Setting up the operating environment
Session 2Infrastructure Integration
- Connecting systems to databases
- Using cloud computing platforms
- Supporting multi-device operations
03Smart Operation and Control
Session 1Operating Systems with AI
- Process automation
- Real-time data interaction
- Autonomous decision-making
Session 2Dynamic Performance Management
- Monitoring and analyzing system behavior
- Adaptive response to conditions
- Intelligent control techniques
04Analytics and Prediction
Session 1Data Analysis Tools in Smart Systems
- Using AI for performance insights
- Pattern recognition and trend forecasting
- Decision support systems
Session 2Predictive Maintenance and Optimization
- Fault prediction models
- Smart preventive maintenance
- Reducing operational downtime
05Innovation and Continuous Development
Session 1Improving Intelligent Systems Over Time
- Feedback collection and analysis
- Updating algorithms and models
- Measuring impact of improvements
Session 2Innovation in Automated Operations
- Integrating generative AI
- Future of intelligent automation
- Building flexible and innovative environments
Complete your registration
We will contact you within one business day to confirm.