Autonomy Safety

UL Certified Autonomy Safety Professional Training in Machine Learning

This two-day training is focused on machine learning for automotive safety, and the state-of-the-art safety frameworks used for automotive.

This two-day training course is dedicated to machine learning (ML) for automotive safety. It provides guidance for the development of ML components into the safety frameworks used for automotive, including functional safety (FuSa) and safety of the intended functionality (SOTIF).

This training also includes the reference information of novel autonomy safety standards, including:

UL 4600, the Standard for Evaluation of Autonomous Products.
ISO/TR 4804:2020, Road Vehicles - Safety and Cybersecurity for Automated Driving Systems - Design, Verification and Validation.
ISO/IEC DTR 5469, Artificial intelligence - Functional safety and AI systems.
ISO/AWI PAS 8800, Road Vehicles - Safety and Artificial Intelligence.
ISO/IEC TR 24029-1:2021, Artificial Intelligence (AI) - Assessment of the Robustness of Neural Networks - Part 1: Overview.
ISO/IEC DIS 24029-2, Artificial intelligence (AI) - Assessment of the Robustness of Neural Networks - Part 2: Methodology for the Use of Formal Methods.

See Dates

Key Takeaways

Day 1

Introduction.
Automotive safety and AI standards.
Deployment of AI into systems.
Factors to consider for AI safety.
Running example.
Specification and design (SOTIF-specific).
AI safety culture.
Concept phase.
System development phase

Day 2

Hardware development phase.
Software development phase.
Verification and validation (V&V) strategy.
Software verification phase.
Hardware verification phase.
System verification phase.
Vehicle verification and validation phase.
Assessment.
Operations, decommissioning, service and maintenance.

Target Audience

Engineers working with advanced driver assistance systems (ADAS) and autonomous vehicles (AV), including:

Automotive engineers.
Safety engineers.
Data scientists.
Project leaders.
Testing personnel.

Prerequisites

UL Certified Artificial Intelligence Professional.
Foundations training for practical experience in the development of ML-models.
Prior knowledge of SOTIF (ISO 21448) and functional safety (ISO 26262).

Examination

Participants who complete training can take a two-hour certification exam on the morning of the third day. Those who pass the exam are individually certified as a UL Certified Autonomy Safety Professional – Machine Learning or UL-CASP. Upon successful completion of the UL-CASP exam, participants receive a certificate and badge they can use to demonstrate their competence in Machine Learning. The certification is good for three years, after which individuals may recertify.

Further Information

For online trainings, all materials are offered digitally. For in-person trainings, all materials are offered digitally and may be supplemented with hard copies. Copies of any relevant standards must be provided by the learner.

Course Dates

Dates	Location	Time	Language	Status	Price
2024/10/1 — 2024/10/2	Virtual	09:00 AM - 05:00 PM CST/CDT	English	—	—	—
2025/2/19 — 2025/2/21	Shanghai, China	09:00 AM - 05:00 PM CST	Chinese, Simplified	—	—	—
2025/4/1 — 2025/4/2	Virtual	09:00 AM - 05:00 PM CST/CDT	English	—	—	—
2025/5/20 — 2025/5/22	Shanghai, China	09:00 AM - 05:00 PM CST	Chinese, Simplified		CNY¥11000	REGISTER
2025/7/22 — 2025/7/24	Shanghai, China	09:00 AM - 05:00 PM CST	Chinese, Simplified		CNY¥11000	REGISTER
2025/9/23 — 2025/9/25	Shanghai, China	09:00 AM - 05:00 PM CST	Chinese, Simplified		CNY¥11000	REGISTER
2025/10/7 — 2025/10/8	Virtual	09:00 AM - 05:00 PM CST	English		$1795	REGISTER
2025/11/18 — 2025/11/20	Shanghai, China	09:00 AM - 05:00 PM CST	Chinese, Simplified		CNY¥11000	REGISTER

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GENERAL INFORMATION

Training ID:
Location:	Onsite-Training
Date:	2/7 -2/10/2024
Time:	09:00 AM - 05:00 PM
Language:	English (EN)
Examination Fee:	$Xx per participant
Online Price:	#Xx per participant, plus vat
Services Provided by:	UL

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Cancellation Policy

Contractual cancellation right

The registration can be cancelled free of charge 30 days before the training date, after which the following rules apply:

30 days – 14 days before the start of the training: 50% of the participation fee

14 days or less before the start of the training: 100% of the participation fee

This shall not apply when a substitute attendee is named. This is possible until the registration at the beginning of the event.

The relevant cut-off date for the calculation of the cancellation period is the first training day of a bindingly booked training.

The cancellation must be declared in writing and sent by email to the training provider.

Naming substitutes

The participant may, after receiving the registration confirmation, name a substitute in writing prior to the beginning of the seminar.

This change of reservation is free of charge; seminars spanning several days may be transferred only in their entirety, i.e. attended by one substitute.

Date cancellations and date changes

The training provider has the right to change the location of events and/or specify a different date as a substitute. The training provider also reserves the right to cancel dates for organizational reasons (e.g. number of participants too low, illness of the speaker at short notice).

The training provider will notify the participant of the cancellation and of the reason with-out undue delay and will attempt to change the participant's reservation, provided that he agrees to a different date or event location. Otherwise, the full amount of any already paid attendance fee will be refunded in the case of a cancellation; no further claims exist, particularly no refund of travel and/or accommodation cost.

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