Artificial Intelligence (AI) in Automotive Training Course
This course provides an overview of artificial intelligence, with a focus on machine learning and deep learning, as applied to the automotive industry. It is designed to help participants identify which technologies can potentially be utilized in various scenarios within a vehicle, ranging from basic automation to image recognition and autonomous decision-making for government applications.
This course is available as onsite live training in US Government or online live training.
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Course Outline
Current State of the Technology for Government
- Technologies Currently in Use
- Potentially Applicable Technologies
Rules-Based AI for Government
- Simplifying Decision-Making Processes
Machine Learning for Government
- Classification Techniques
- Clustering Methods
- Neural Networks and Their Variants
- Presentation of Working Examples and Discussion
Deep Learning for Government
- Fundamental Terminology
- Scenarios for Using Deep Learning vs. Other Approaches
- Estimating Computational Resources and Costs
- Brief Theoretical Overview of Deep Neural Networks
Practical Application of Deep Learning (Primarily Using TensorFlow) for Government
- Data Preparation Techniques
- Selecting Appropriate Loss Functions
- Choosing the Right Type of Neural Network
- Balancing Accuracy, Speed, and Resource Utilization
- Training Neural Networks
- Evaluating Efficiency and Error Rates
Sample Applications for Government
- Anomaly Detection in Data Streams
- Image Recognition for Surveillance and Compliance
- Advanced Driver Assistance Systems (ADAS) for Fleet Management
Requirements
Participants must possess programming experience in any language and an engineering background; however, they will not be required to write any code during the course for government.
14 Hours
Runs with a minimum of 4 + people. For 1-to-1 or private group training, request a quote.
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