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Artificial Intelligence & Robotics Fundamentals Training Course

Introduces the core concepts of AI and robotics, the main components of robotic systems and how machines perceive, decide and act on their own.

AIRP · AI Robotics & Intelligent SystemsAll Levels#2114ClassroomEnglish , Arabic
Duration
5 Days
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Free substitution at any time · 30+ days' notice: full refund minus 10%. Cancellation policy

Course Overview

This specialized training course provides a comprehensive foundation in Artificial Intelligence and Robotics, focusing on the principles, technologies, and applications that enable intelligent systems to perceive their environment, process information, make decisions, and perform tasks autonomously. The program introduces the core concepts of Artificial Intelligence, including Machine Learning, Deep Learning, data processing, Computer Vision, and Natural Language Processing, alongside the fundamentals of robotics, sensors, control systems, motion, navigation, and human-machine interaction. Particular emphasis is placed on the integration of AI technologies with robotic systems to create intelligent solutions capable of sensing their environment, interpreting information, responding to changing conditions, and performing increasingly complex tasks. The course also explores enterprise and industrial applications across manufacturing, energy, oil and gas, logistics, healthcare, and other sectors. Through practical exercises, case studies, and system-design workshops, participants will develop a practical understanding of AI and robotics technologies, evaluate potential applications, identify suitable technologies, and assess opportunities for implementing intelligent robotic solutions within organizational and operational environments.

Learning Objectives

  • By the end of the course, participants will be able to:
  • Understand the fundamental concepts and principles of Artificial Intelligence and Robotics.
  • Distinguish between major AI technologies and their practical applications.
  • Identify the main components of robotic systems and their functions.
  • Understand the role of sensors and control systems in robotic operations.
  • Apply fundamental Machine Learning concepts to intelligent systems.
  • Understand the principles of Computer Vision and data processing for robotic applications.
  • Analyze the relationship between Artificial Intelligence, Robotics, and intelligent automation.
  • Identify suitable AI and robotics applications across different business and operational environments.
  • Assess the fundamental technical and operational requirements of intelligent robotic systems.
  • Understand the principles of human-robot interaction and environmental awareness.
  • Recognize safety, security, ethical, and governance considerations for intelligent robotic systems.
  • Develop an initial concept for applying AI and Robotics to an organizational or operational process.

Who Should Attend

This course is designed for engineers, technical professionals, and specialists working in Artificial Intelligence, Robotics, Automation, Information Technology, Industrial Engineering, Mechanical Engineering, Electrical Engineering, Control Engineering, and Systems Engineering. It is also suitable for IT and Digital Transformation Managers, Operations Managers, Innovation Managers, Project Managers, Business Analysts, and professionals responsible for developing automation, intelligent systems, and technology-driven operational solutions. The program is particularly valuable for managers and decision-makers who need a practical understanding of AI and robotics technologies and their organizational applications without requiring advanced technical experience in system development.

Learning Outcomes

  • Upon completion of the course, participants will be able to:
  • Explain the fundamental principles of Artificial Intelligence, Robotics, and intelligent systems.
  • Identify key AI technologies used in robotic applications.
  • Describe the major components of robotic systems and their functions.
  • Understand sensing, perception, and environmental interaction mechanisms.
  • Apply fundamental Machine Learning concepts within intelligent systems.
  • Explain the role of Computer Vision in environmental perception and image analysis.
  • Analyze the basic components of robotic control and motion systems.
  • Identify appropriate use cases for AI and Robotics technologies.
  • Assess the initial technical and operational requirements of an intelligent robotics project.
  • Understand fundamental approaches to human-robot interaction.
  • Apply basic safety, security, and governance principles to intelligent robotic systems.
  • Develop an initial concept for an AI and Robotics solution addressing an organizational use case.

Course Outline

Course Outline

Day 1

Artificial Intelligence Fundamentals & Intelligent Systems

  • Introduction to Artificial Intelligence and its evolution
  • Types of Artificial Intelligence and application areas
  • Machine Learning and Deep Learning fundamentals
  • Data and its role in intelligent systems
  • AI models and inference mechanisms
  • Natural Language Processing fundamentals
  • Computer Vision fundamentals
  • Generative AI and intelligent applications
  • Intelligent automation and autonomous systems
  • Enterprise applications of Artificial Intelligence
  • Practical Application: Analyzing a business use case and identifying appropriate AI technologies
Day 2

Robotics Fundamentals & Robotic System Components

  • Introduction to Robotics and its evolution
  • Types of robots and their applications
  • Mechanical components of robotic systems
  • Motors and actuators
  • Sensors and sensing technologies
  • Robotic control systems
  • Robotic movement and navigation
  • Processing units and robotics software
  • Environmental interaction
  • Industrial, service, and mobile robotics
  • Practical Workshop: Analyzing a robotic system and identifying the functions of its major components
Day 3

Integrating Artificial Intelligence with Robotics

  • The role of AI in intelligent robotics
  • Intelligent perception and sensing
  • Computer Vision for robotic systems
  • Object and environment recognition
  • Machine Learning in robotics
  • Planning and decision-making
  • Intelligent navigation and path planning
  • Learning from data and feedback
  • Human-robot interaction
  • Autonomous robots and self-operating systems
  • Practical Application: Designing an initial concept for an AI-powered robot to perform a defined task
Day 4

AI & Robotics Applications, Safety & Governance

  • Robotics in manufacturing and industrial operations
  • Robotics in oil and gas and energy
  • Robotics in logistics and services
  • Robotics in healthcare
  • Robotics for inspection and maintenance
  • Robotic Process Automation and intelligent automation
  • Safety requirements for robotic systems
  • Cybersecurity for connected robotic systems
  • Ethics and governance of AI and Robotics
  • Risk management and human oversight
  • Practical Workshop: Assessing the risks and operational requirements of an intelligent robotic system
Day 5

Intelligent Solution Design & Implementation Strategy

  • Methodologies for designing AI and Robotics solutions
  • Defining operational requirements and objectives
  • Selecting appropriate AI and robotics technologies
  • Integration of systems, data, and hardware
  • Testing intelligent and robotic systems
  • Performance and efficiency measurement
  • Cost and resource management
  • Scalability and system development
  • Planning AI and Robotics implementation within organizations
  • Emerging trends in Artificial Intelligence and Robotics
  • Final Integrated Workshop: Developing an AI and Robotics project concept covering the use case, objectives, system components, AI technologies, sensors, control systems, safety, security, implementation strategy, and future development.

Upcoming Dates

Selected date

Istanbul · 28 Dec 2026 – 1 Jan 2027 · Classroom

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CityDatesPrice per ParticipantEarly Bird
AmmanScheduled
27 – 31 Dec 2026€4,000€3,600until 7 Dec
DubaiScheduled
27 – 31 Dec 2026€4,700€4,230until 7 Dec
OnlineScheduled
27 – 31 Dec 2026€2,700€2,430until 7 Dec
ParisScheduled
28 Dec 2026 – 1 Jan 2027€6,700€6,030until 7 Dec
DammamScheduled
28 Dec 2026 – 1 Jan 2027€4,800€4,320until 7 Dec
ZurichScheduled
28 Dec 2026 – 1 Jan 2027€5,800€5,220until 7 Dec
MuscatScheduled
28 Dec 2026 – 1 Jan 2027€6,300€5,670until 7 Dec
MakkahScheduled
28 Dec 2026 – 1 Jan 2027€4,800€4,320until 7 Dec
MilanScheduled
28 Dec 2026 – 1 Jan 2027€7,000€6,300until 7 Dec
SalalahScheduled
28 Dec 2026 – 1 Jan 2027€6,300€5,670until 7 Dec
Kuala LumpurScheduled
28 Dec 2026 – 1 Jan 2027€4,700€4,230until 7 Dec
LisbonScheduled
28 Dec 2026 – 1 Jan 2027€6,000€5,400until 7 Dec
FrankfurtScheduled
28 Dec 2026 – 1 Jan 2027€6,200€5,580until 7 Dec
CasablancaScheduled
28 Dec 2026 – 1 Jan 2027€4,700€4,230until 7 Dec
BarcelonaScheduled
28 Dec 2026 – 1 Jan 2027€6,000€5,400until 7 Dec
LondonScheduled
28 Dec 2026 – 1 Jan 2027€5,800€5,220until 7 Dec
RomeScheduled
28 Dec 2026 – 1 Jan 2027€7,000€6,300until 7 Dec
ManamaScheduled
28 Dec 2026 – 1 Jan 2027€5,300€4,770until 7 Dec
MunichScheduled
28 Dec 2026 – 1 Jan 2027€6,000€5,400until 7 Dec
IstanbulScheduled
28 Dec 2026 – 1 Jan 2027€5,300€4,770until 7 Dec
CairoScheduled
28 Dec 2026 – 1 Jan 2027€3,800€3,420until 7 Dec
AmsterdamScheduled
28 Dec 2026 – 1 Jan 2027€6,000€5,400until 7 Dec
GenevaScheduled
28 Dec 2026 – 1 Jan 2027€7,300€6,570until 7 Dec
MadridScheduled
28 Dec 2026 – 1 Jan 2027€6,000€5,400until 7 Dec
ViennaScheduled
28 Dec 2026 – 1 Jan 2027€6,400€5,760until 7 Dec
MarrakeshScheduled
28 Dec 2026 – 1 Jan 2027€4,700€4,230until 7 Dec
RabatScheduled
28 Dec 2026 – 1 Jan 2027€4,700€4,230until 7 Dec
DohaScheduled
28 Dec 2026 – 1 Jan 2027€4,700€4,230until 7 Dec
BangkokScheduled
28 Dec 2026 – 1 Jan 2027€6,700€6,030until 7 Dec
MadinahScheduled
28 Dec 2026 – 1 Jan 2027€4,800€4,320until 7 Dec

Available in: Istanbul · Dubai · London · Doha · Amsterdam

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