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 Duration 21 hours

Course Outline

Fundamentals of Autonomous Systems

  • A comprehensive look at autonomous systems and their diverse applications.
  • Core elements: sensors, actuators, and underlying control architectures.
  • Critical challenges encountered during the development of autonomous solutions.

AI Methodologies for Autonomous Decision-Making

  • Utilizing machine learning models to drive decision processes.
  • Applying deep learning strategies for enhanced perception and control.
  • Ensuring efficient real-time processing and inference within autonomous contexts.

Autonomous Navigation and Control Mechanisms

  • Techniques for path planning and effective obstacle avoidance.
  • Designing control algorithms that ensure stable, responsive navigation.
  • Bridging AI capabilities with control systems for autonomous vehicles.

Safety and Reliability Standards in Autonomous Systems

  • Implementing safety protocols and robust fail-safe mechanisms.
  • Rigorous testing and validation procedures for autonomous systems.
  • Adhering to relevant industry standards and regulatory frameworks.

Practical Applications and Case Studies

  • Autonomous vehicles: examining AI algorithms and real-world deployment.
  • Drones: managing autonomous flight control and navigation logic.
  • Industrial robotics: leveraging AI-driven automation in manufacturing environments.

Emerging Trends in AI-Driven Autonomous Systems

  • How recent AI advancements are reshaping autonomy.
  • New technologies emerging in the field of autonomous system engineering.
  • Prospecting future trajectories and strategic opportunities in the sector.

Recap and Forward-Looking Steps

Requirements

  • Proven experience in robotics or AI development.
  • Solid grasp of machine learning principles and real-time system dynamics.
  • Proficiency with control systems and established safety protocols.

Target Audience

  • Robotics engineers.
  • AI developers.
  • Automation specialists.

Number of participants


Price per participant

Open Training Courses require 5+ participants.

Testimonials (2)

Getting people that never used AI some repetition in prompting and people that do use AI to consider different methods to using it.

Matthew Gay - Tarsus Pharmaceuticals
Course - Artificial Intelligence (AI) Overview

Working from first principles in a focused way, and moving to applying case studies within the same day

Maggie Webb - Department of Jobs, Regions, and Precincts
Course - Artificial Neural Networks, Machine Learning, Deep Thinking

Upcoming Courses

AI-Powered Autonomous Systems

2026-11-23 09:30
21 hours
København, Copenhagen
5208 EUR (Online)
5808 EUR (Classroom)

AI-Powered Autonomous Systems

2026-12-07 09:30
21 hours
Copenhagen, City Center
5208 EUR (Online)
5808 EUR (Classroom)

AI-Powered Autonomous Systems

2026-12-21 09:30
21 hours
København, Copenhagen
5208 EUR (Online)
5808 EUR (Classroom)

AI-Powered Autonomous Systems

2027-01-04 09:30
21 hours
Copenhagen, City Center
5208 EUR (Online)
5808 EUR (Classroom)

AI-Powered Autonomous Systems

2027-01-18 09:30
21 hours
København, Copenhagen
5208 EUR (Online)
5808 EUR (Classroom)

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