Course Outline
Introduction
Overview of Artificial Intelligence (AI)
- Machine learning
- Computational intelligence
Understanding Neural Network Concepts
- Generative networks
- Deep neural networks
- Convolutional neural networks
Exploring Various Learning Methods
- Supervised learning
- Unsupervised learning
- Reinforcement learning
- Semi-supervised learning
Additional Computational Intelligence Algorithms
- Fuzzy systems
- Evolutionary algorithms
Exploring Artificial Intelligence Approaches for Optimization
- Effectively selecting AI approaches
Introduction to Stochastic Dynamic Programming
- Relationship with AI
Implementing AI in Mechatronic Applications
- Medicine
- Rescue operations
- Defense
- Industry-agnostic trends
Case Study: The Intelligent Robotic Car
Programming the Core Systems of a Robot
- Project planning
Implementing AI Capabilities
- Search algorithms and motion control
- Localization and mapping
- Tracking and control
Summary and Next Steps
Requirements
- A foundational understanding of computer science and engineering
Audience
- Engineers
Custom Corporate Training
Training solutions designed exclusively for businesses.
- Customized Content: We adapt the syllabus and practical exercises to the real goals and needs of your project.
- Flexible Schedule: Dates and times adapted to your team's agenda.
- Format: Online (live), In-company (at your offices), or Hybrid.
Price per private group, online live training, starting from 4800 € + VAT*
Contact us for an exact quote and to hear our latest promotions
Testimonials (2)
Supply of the materials (virtual machine) to get straight into the excersises, and the explanation of the Ros2 core. Why things work a certain way.
Arjan Bakema
Course - Autonomous Navigation & SLAM with ROS 2
its knowledge and utilization of AI for Robotics in the Future.
