Deep Learning in autonomous cars
The training explores the application of deep learning techniques in the development of systems for autonomous vehicles. Participants will learn the practical aspects of implementing neural networks in autonomous driving systems, from sensor data processing to real-time decision-making. The program combines theory with intensive hands-on workshops, using real data from test vehicles and simulators.
Issues
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Architecture of autonomous vehicles
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Deep learning in ADAS systems
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Sensory data processing
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Real-time systems
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AI security
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Optimization of models
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Simulation and testing
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Transfer learning
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Teaching with reinforcement
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Trajectory planning
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Decision-making systems
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Validation of AI systems
Benefits
- Practical knowledge of deep learning in automotive
- Ability to design autonomous driving systems
- Knowledge of AI model optimization techniques
- Experience in working with vehicle simulators
- Ability to implement real-time systems
- The security aspects of AI
Who is this training for?
Prerequisites
- Knowledge of the basics of deep learning
- Experience in Python programming
- Basics of computer vision
- Knowledge of machine learning
Training program
Architecture of autonomous driving systems
- Sensory and perceptual systems
Real-time data processing
- Integration of on-board systems
- Deep Learning in ADAS systems
- Convolutional networks in object detection
- Semantic segmentation of the image
- Recurrent neural networks in traffic prediction
- Transfer learning in autonomous systems
Decision-making systems
- Trajectory planning
- Reinforcement learning in control systems
- Security and redundancy systems
Validation of AI models
- Implementation and testing
- Simulation of the driving environment
- Testing under real conditions
Performance optimization
- Integration with production systems
Delivery Methods
Online
- Convenience of participating from anywhere
- Interactive live sessions with trainer
- Materials available for 30 days
- No travel costs
On-site
- Direct contact with trainer and group
- Intensive hands-on workshops
- Networking with other participants
- Full focus on learning
Frequently asked questions
Who is the Deep Learning in autonomous cars training for?
This training is designed for professionals looking to develop skills in deep learning in autonomous cars. Required level: intermediate.
How long is the Deep Learning in autonomous cars training?
The training lasts 3. Available in online or on-site format.
Will I receive a certificate?
Yes — every participant receives a completion certificate confirming acquired competencies. EITT holds ISO 9001 accreditation.
Can this training be conducted for a closed group?
Yes — we offer dedicated closed trainings for companies. We customize the program to your team's needs. Contact us for an individual quote.
Request a quote
Funding Options
Check funding options for your company
Development Services Database
Up to 80% funding for SMEs from EU funds
Check availabilityNational Training Fund
Up to 100% funding for employers
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We train teams at Poland's largest companies
Interested in this training?
Contact us - we'll prepare an offer tailored to your organization's needs.