6 weeks
of hands-on training
€1,499
special offer
Nov. 3, 2025
next cohort start date
Remote
learn from anywhere
Curriculum
The Automotive AI in Practice learning program takes six weeks to complete. It consists of six modules, each with approximately eight hours of intensive hands-on training based on a continuous example used throughout the course.
Modules
- Module 1: Getting Started/Fundamentals of AI
This module starts with an instructor-led session. The goal is to establish small virtual learning groups through team building. We introduce the curriculum and learning platform and answer learners’ questions. We provide an overview of automotive AI, explaining the concepts of AI, machine learning (ML), large language models (LLMs), and small language models (SLMs), including their specific applications in the automotive domain.
- Module 2: AI Lifecycle
This module covers the AI development lifecycle, both generally and in the context of the automotive industry. We provide an overview of ML-based AI supply chains, including inception, design and development, verification and validation, deployment, operation and monitoring, continuous validation, re-evaluation, and retirement of ML models.
- Module 3: AI in Autonomous Driving
This module introduces the key terms and concepts of AI used in autonomous driving. It focuses on AI-enabled perception technologies, decision-making processes and planning strategies that are essential for the operation of autonomous vehicles.
- Module 4: AI Safety, Security and Trustworthiness
This module explores how AI can enhance vehicle safety and security and how ML-based AI systems must be developed to be safe and secure. We review the relevant standards, guidelines and process frameworks here, e.g., ISO/PAS 8800; UL 4600, the Standard for Safety for the Evaluation of Autonomous Products; and ML SPICE. We also cover risk assessment and mitigation strategies.
- Module 5: Engineering Confidence in Automotive AI
This module focuses on the verification and validation of ML-based AI systems. We cover the assessment of the performance of ML models in terms of the accuracy and precision of their predictions, as well as the role of conformity assessments in building trust in automotive AI technologies.
- Module 6: Legal, Ethical, and Regulatory Aspects of AI
This module concludes the curriculum by examining the global regulatory landscape for AI, as well as the ethical considerations and responsible use of AI. We also cover the legal aspects of Automotive AI, including liability and compliance, as well as the latest judicial decisions.
Learning objectives
The Automotive AI in Practice program enables learners to:
- Understand the fundamentals of AI, ML and LLMs along with their applications in the automotive industry.
- Examine the AI development lifecycle including inception, design and development, verification and validation, deployment, operation and monitoring, continuous validation, re-evaluation, and retirement.
- Gain insight into AI applications in autonomous driving, particularly in areas such as perception, decision making and planning.
- Learn how to develop safe and secure automotive AI systems by reviewing relevant standards, guidelines, and process frameworks, e.g., ISO/PAS 8800; UL 4600, the Standard for Safety for the Evaluation of Autonomous Products; and ML SPICE.
- Understand verification and validation strategies for AI systems, including model evaluation and system validation.
- Explore the legal, ethical and regulatory aspects of automotive AI, covering global compliance requirements and responsible AI use.
Learning approach
In small, virtual groups, learners engage with each other in a community-based setting, called Campus, to maximize knowledge retention.
In Campus, curricula address a variety of learning styles by:
- Providing content from module handouts to work product templates and videos
- Enhancing your learning experience with guiding questions
- Challenging you with weekly group assignments
- Testing your knowledge throughout and at the end of each module
Your learning group will check the second group's results while a third group checks yours. Group results must be uploaded to our Campus learning platform by Thursday evening. You will then receive feedback from your peers.
Sample module schedule
- Below is a sample module schedule:
- Monday: Self-study of given material, i.e., video, papers, book chapters and relevant standards/regulations — 1 hour.
- Tuesday: Online group meeting to discuss technical lead questions and the weekly group assignment — 1 hour.
- Wednesday: Offline individual work to solve the committed part of the group assignment — 2 hours.
- Thursday: Online group meeting to discuss, combine individual results and upload the group assignment to our Campus learning platform — 2.5 hours.
- Friday: Online group meeting to review another team’s group assignment results; take individual weekly exam — 1.5 hours.
Who this training designed for
The Automotive AI in Practice curriculum is designed for a broad audience seeking to upskill or retrain in the field of automotive artificial intelligence, including:
- AI/ML engineers and data scientists (in training)
- System, software, and hardware architects, developers, and testers
- Functional safety and cybersecurity professionals
- Quality assurance engineers, auditors and safety assessors
- Project managers and product owners involved in AI-enabled vehicle systems
- Engineering process group members and R&D strategists
Placement test
- Take the placement test
Assess your readiness for this training program:
- Do you work in electronics or software development within the automotive sector?
- Do you have practical experience in at least one of the following areas?
- AI or machine learning development in automotive systems
- Verification or validation of AI-based components
- Engineering process development related to AI
- Project or team management in automotive AI initiatives
- Quality assurance, functional safety or cybersecurity for AI-enabled systems
- Are you currently involved — or soon to be involved — in projects related to AI, machine learning or autonomous driving systems?
- Do you speak English well enough to actively participate in a technical discussion?
- Can you make group learning a priority for eight hours a week for six weeks in a row without being the one setting the schedule?
If you answered yes to all these questions, you are in a position to benefit from attending this learning program.
If you answered no to any of these questions, please contact campus@ul.com to see if other options are available for your specific training needs.
Letter of Qualification
A Letter of Qualification, recognized in the automotive industry, demonstrates that the learner has acquired the relevant knowledge and skills in the area of automotive AI.
To successfully complete the Automotive AI in Practice learning program and receive a Letter of Qualification, learners must:
- Actively participate in the group work, including submitting the group assignments on time
- Pass the knowledge check (multiple choice test) at the end of each module
FAQs
- When does the training start?
The next cohort will begin on Nov. 3, 2025.
- How do I enroll in the learning program?
On this page, click on the Registration button. You will be taken to the Registration page on which you will find the terms and conditions and be able to book your place on the learning program by selecting the “See Dates” button and following the registration process.
- How are the learners divided into learning groups?
In Campus, learners from different companies learn from and with each other. To facilitate self-organization, we group learners by time zone, self-assessed technical understanding and preferred language (all content and group work deliverables are in English).
- Is the price lower for group enrollment?
The price for this learning program (beginning on Nov. 3, 2025) has been reduced to $1,499 per person, with group discounts available. Participation in subsequent cohorts will be charged at the original price based on group size and will be at least 25% or EUR 500 higher.
- Does the learning program require on-site attendance?
No. Participation in learning programs is remote only in Campus.
- What happens if I miss a module?
We understand that these things happen. However, to receive a Letter of Qualification, you must actively and independently complete the missed content. Furthermore, you must review the missed group assignment, including group deliverables, and the feedback from your peer group.
- Do I have to share any confidential information with my learning group?
No. All learners are required to adhere to their company's policies regarding the sharing of confidential information. We do our part by providing templates and the like so that proprietary work products do not have to be used.
- When will additional curricula be available?
We are currently working on additional learning programs for Campus. For more information about new learning programs and cohort start dates, visit UL.com/Campus.