AI In Automotive
Instructor-led training in AI In Automotive. Delivered live online by senior practitioners, with hands-on labs and a final assessment. Includes an Skilvi course-completion certificate.
Overview
This intermediate-level course explores the transformative role of Artificial Intelligence in the automotive industry, from autonomous driving to intelligent vehicle systems. Participants will gain a comprehensive understanding of AI techniques and their practical applications, enabling them to design and implement cutting-edge solutions for future mobility challenges.
What you'll learn
- Understand the core principles of AI and machine learning as applied to automotive systems.
- Identify and analyze various sensor technologies used in autonomous vehicles for perception.
- Apply machine learning models for object detection, classification, and prediction in automotive contexts.
- Design and evaluate algorithms for path planning and decision-making in self-driving cars.
- Implement techniques for sensor fusion to create robust environmental models.
- Grasp the challenges and ethical considerations surrounding AI deployment in vehicles.
- Develop strategies for testing and validating AI-powered automotive systems.
Curriculum
6 modules · outline is indicative and can be tailored to your team.
1Introduction to AI in Automotive
- Overview of AI and ML in the automotive landscape
- Key applications: ADAS, autonomous driving, intelligent cabins
- Historical context and future trends
- Challenges and opportunities
2Automotive Sensors and Perception
- Types of sensors: Camera, LiDAR, Radar, Ultrasonic
- Sensor data acquisition and preprocessing
- Computer vision fundamentals for automotive
- Object detection and tracking
3Machine Learning for Automotive Applications
- Supervised, unsupervised, and reinforcement learning basics
- Deep learning architectures: CNNs, RNNs, Transformers
- Training and deploying models for perception and prediction
- Data augmentation and synthetic data generation
4Path Planning and Decision Making
- Localization and mapping (SLAM)
- Behavioral planning and trajectory generation
- Motion control and vehicle dynamics
- Decision-making algorithms in complex scenarios
5Sensor Fusion and Environmental Modeling
- Techniques for fusing data from multiple sensors
- Probabilistic methods for state estimation (Kalman filters, particle filters)
- Creating a comprehensive environmental model
- Handling uncertainties and occlusions
6Validation, Safety, and Ethics
- Testing and validation methodologies for AI systems
- Safety standards (e.g., ISO 26262) and functional safety
- Ethical implications of autonomous systems
- Regulatory landscape and legal considerations
Prerequisites
Basic understanding of programming (Python preferred) and fundamental machine learning concepts is recommended.
Who should attend
This course is ideal for automotive engineers, software developers, researchers, and technical managers looking to understand and implement AI solutions in vehicle technology.
Certification
Frequently asked questions
What is the delivery format for this course?
This is an instructor-led, live-online course, providing interactive learning from anywhere.
How long is this course?
The duration of this course is typically 24 hours, delivered over several live-online sessions.
Will I receive a certificate upon completion?
Yes, upon successful completion of the course, you will receive an Skilvi course-completion certificate.
Are exam vouchers included with the course?
Exam vouchers for related certifications are available through authorized channels on request, but are not directly included with this course.
What are the prerequisites for this course?
Basic understanding of programming (Python preferred) and fundamental machine learning concepts is recommended.
Is this course suitable for beginners in AI?
While an introduction to AI in automotive is provided, some prior exposure to programming and general machine learning concepts will greatly enhance your learning experience, as it is an intermediate-level course.
Pricing on request
- Live online (VILT)
- 24–32 hours
- Hands-on labs & assignments
- Skilvi completion certificate
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