AI in Autonomous Systems: Drones and Robotics – Comprehensive Course Overview

AI in Autonomous Systems: Drones and Robotics – Comprehensive Course Overview (online)

Date Time
2024-11-27 01:37 PM - 07:37 PM
2024-11-28 02:39 PM - 06:39 PM
2024-11-29 02:40 PM - 07:40 PM
2024-11-30 01:40 PM - 01:43 PM
2024-12-01 01:41 PM - 05:41 PM

Course Description

Introduction

As companies around the world race to harness AI technologies in the field of drones and robotics to enhance efficiency and reduce production costs, we seek in this course to enable professionals to master advanced AI solutions and bridge the gap between theoretical innovation and practical application.

Objectives
  • Understand how AI can be enabled and used in air navigation and aviation systems according to autonomous systems. 
  • Develop and improve AI-powered systems specifically designed to overcome obstacles in the field of robotics 
  • How to use machine learning to improve performance and adapt to different situations in practical application. 
  • Methods of protecting against cybersecurity threats using advanced AI technologies. 
  • Ensure compliance and ethical deployment of AI technologies.  
Who should attend

This course is ideal for professionals seeking to integrate AI into their operations. Recommended participants are: 

  • Robotics engineers and developers. 
  • AI and machine learning specialists. 
  • System managers in drones and autonomous vehicles. 
  • Cybersecurity professionals working with AI-powered systems. 
  • Managers overseeing AI-powered projects.  
Impact

Upon completion of the course, participants will be able to: 

  • Develop AI-powered systems to achieve operational excellence. 
  • Improve operations using autonomous solutions. 
  • Protect systems from advanced cyber threats. 
  • Know the latest technologies used in UAV and robotics  
Prerequisites

To maximize learning,
participants should have: 

  • Basic understanding of AI, machine learning, and robotics. 
  • Familiarity with programming (Python preferred). 
  • Knowledge of linear algebra, probability, and calculus. 
  • Exposure to control systems or embedded systems. 
  • Passion for exploring emerging AI technologies.  
Curriculum