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DERMEN ERASMUS TRAINING COURSES

# ARTIFICIAL INTELLIGENCE, ROBOTICS AND CODING

Course Content:

Computers and Internet apparently contains enormous amount of data. Finding out a specific data in less time is an obligatory for us. What kind of an approach and mathematical method should be preferred to reach the goal in a limited time? This course is focused on the algorithms, logical approaches, and smart techniques to seek the entire data space. The complexity of the methods will also be mathematically analyzed. Attendees will learn what searching in Artificial Intelligence (AI) is, explore use cases and applications, understand searching concepts and terms.

This course does not require any programming or computer science expertise and is designed to introduce the basics of AI to anyone whether they have a technical background or not. This dynamic short course offers an exciting exploration of Artificial Intelligence (AI), Robotics, and Coding, with a strong emphasis on integrating AI into robotics applications. Participants will embark on a captivating journey to discover the interplay between these cutting-edge fields, equipping them with essential skills and knowledge to thrive in the rapidly evolving tech landscape.

The course begins by delving into the fundamentals of AI, providing insights into machine learning, neural networks, and natural language processing. Participants will gain a comprehensive understanding of how AI systems can analyze data, learn from it, and make intelligent decisions independently.

Moving on to robotics, participants will be introduced to the world of mechanical and programmable machines. They will explore various robotic architectures, sensor technologies, and actuator mechanisms, setting the groundwork for hands-on exploration.

The heart of this course lies in the integration of AI and robotics. Participants will learn to harness the power of AI algorithms and techniques to imbue robots with advanced cognitive abilities. They will discover how AI enables robots to perceive their environment, make adaptive decisions, and interact seamlessly with humans.

Throughout the course, real-world applications of AI in robotics will be highlighted, including autonomous vehicles, robotic manufacturing, healthcare robotics, and smart home systems. Participants will gain insights into the transformative impact of AI-integrated robotics across diverse industries.

Objectives:

  • To provide participants with a comprehensive understanding of Artificial Intelligence, including machine learning, neural networks, and natural language processing.
  • To introduce participants to the fundamentals of robotics, covering mechanical components, sensors, and programmable logic.
  • To explore the potential of integrating Artificial Intelligence into robotics and its impact on robotic cognition and decision-making processes.
  • To equip participants with the knowledge and skills to program robots using AI-driven algorithms for enhanced functionality and adaptability.
  • To enable participants to design AI-powered robots that can perceive their environment, learn from data, and interact effectively with humans.
  • To facilitate hands-on coding exercises, allowing participants to implement AI integration in robotics through practical projects.
  • To highlight real-world applications of AI in robotics, such as autonomous vehicles, manufacturing automation, healthcare robotics, and smart home systems.
  • To foster creativity and innovation in participants, encouraging them to conceptualize and develop AI-driven robotic solutions for various industries.
  • To empower participants to identify opportunities and challenges in AI integration within robotics and propose solutions for optimization and improvement.
  • To prepare participants for the future of technology by providing insights into the transformative potential of AI-integrated robotics in diverse fields.
  • To build confidence in participants’ abilities to work with advanced technologies and complex systems, contributing to their professional growth and career prospects.
  • To encourage collaboration and knowledge sharing among participants, creating a supportive learning environment for exploring AI, Robotics, and Coding together.
  • To instill a mindset of continuous learning, inspiring participants to stay updated with the latest advancements in AI and robotics even after completing the course.
  • To contribute to the development of a skilled workforce capable of driving innovation and positive change in the realm of AI and robotics.
  • To offer participants a practical and immersive learning experience that prepares them to contribute to the ongoing development and integration of AI in robotics.

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