Course Outline
Introduction
Overview of Artificial Intelligence (AI)
- Machine learning
- Computational intelligence
Understanding the Concepts of Neural Networks
- Generative networks
- Deep neural networks
- Convolution neural networks
Understanding Various Learning Methods
- Supervised learning
- Unsupervised learning
- Reinforcement learning
- Semi-supervised learning
Other Computational Intelligence Algorithms
- Fuzzy systems
- Evolutionary algorithms
Exploring Artificial Intelligence Approaches to Optimization
- Choosing AI Approaches Effectively
Learning about Stochastic Dynamic Programming
- Relationship with AI
Implementing Mechatronic Applications with AI
- Medicine
- Rescue
- Defense
- Industry-agnostic trend
Case Study: The Intelligent Robotic Car
Programming the Major Systems of a Robot
- Planning the Project
Implementing AI Capabilities
- Searching and Motion Control
- Localization and Mapping
- Tracking and Controlling
Summary and Next Steps
Requirements
- Basic 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.
