Objective
This training explains the machine-learning-specific processes in the Automotive SPICE®
PAM 4.0 and prepares participants for the
intacs® certified Automotive SPICE® Machine Learning exam.
Assessors learn the fundamentals of machine learning so they can conduct well-founded
assessments in the future. Machine learning engineers come to understand the importance
of systematic processes and how applying Automotive SPICE® to process development and
monitoring benefits their organization.
Training Content
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Introduction to machine learning
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Positioning the machine learning processes within Automotive SPICE® PAM 4.0
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Details of the machine learning processes MLE.1–4 and SUP.11, including the content of the VDA guidelines
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Overview of other relevant AI and machine learning standards and regulations
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Various exercises and quizzes to reinforce understanding and prepare for the exam
Target Audience
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Individuals who want to conduct assessments covering the machine learning processes of Automotive SPICE® PAM 4.0
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Individuals responsible for improving or monitoring development processes that include machine learning aspects
Prerequisites
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Several years of professional experience in the automotive industry (e.g., software/systems development, project management, quality management)
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Completion of the intacs® certified Process Expert Automotive SPICE® training, or at least intacs® certified Provisional Assessor
Framework & Exam
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Maximum of 12 participants per training
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Passing the exam is a prerequisite for participating in the VDA-QMC certification process