Thank you for sending your enquiry! One of our team members will contact you shortly.
Thank you for sending your booking! One of our team members will contact you shortly.
Duration 21 hours
Course Outline
Introduction to AI in Autonomous Vehicles
- Exploring autonomous driving levels and AI integration
- An overview of AI frameworks and libraries used in the sector
- Current trends and innovations in AI-driven vehicle autonomy
Deep Learning Fundamentals for Autonomous Driving
- Neural network architectures designed for self-driving cars
- Convolutional neural networks (CNNs) for image processing
- Recurrent neural networks (RNNs) for handling temporal data
Computer Vision for Autonomous Driving
- Object detection using YOLO and SSD
- Lane detection and road following methodologies
- Semantic segmentation for environmental understanding
Reinforcement Learning for Driving Decisions
- Markov Decision Processes (MDP) in the context of autonomous vehicles
- Training deep reinforcement learning (DRL) models
- Simulation-based learning for driving policies
Sensor Fusion and Perception
- Integrating data from LiDAR, RADAR, and cameras
- Application of Kalman filtering and sensor fusion techniques
- Processing multi-sensor data for environment mapping
Deep Learning Models for Driving Prediction
- Developing behavioural prediction models
- Trajectory forecasting for obstacle avoidance
- Recognising driver state and intent
Model Evaluation and Optimization
- Key metrics for assessing model accuracy and performance
- Optimisation strategies for real-time execution
- Deployment of trained models onto autonomous vehicle platforms
Case Studies and Real-World Applications
- Analysis of autonomous vehicle incidents and safety issues
- Review of successful AI-driven driving system implementations
- Project: Development of a lane-following AI model
Requirements
- Strong proficiency in Python programming
- Practical experience with machine learning and deep learning frameworks
- Knowledge of automotive technology and computer vision principles
Target Audience
- Data scientists seeking to work on autonomous driving projects
- AI specialists focused on developing automotive AI solutions
- Developers interested in applying deep learning techniques to self-driving cars
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 3900 € + VAT*
Contact us for an exact quote and to hear our latest promotions
