Systems Incorporating AI (DE0305)

Who should attend

  • Machine Learning Engineers
  • Data Scientists and Engineers
  • Algorithm Developers

Course topics:

  • AI Basics and Key Safety Techniques
    • Basics
      • Introduction to Functional Safety
      • Introduction to AI and Machine Learning
    • Standards related to AI
      • Key aspects
      • Requirements for claiming Compliance to Safety Standards
    • Machine Learning Concepts and Algorithms
      • Overview of Machine Learning Algorithms
      • Learning Processes
      • Segmentation and Classification
      • Specialities of Neural Networks and Deep Learning
      • Performance Metrics
    • Key Techniques to handle Functional Safety and AI
      • Machine Learning Development Lifecycle
      • Data Engineering Techniques
      • Architectural Design Aspects
      • Explainability and Interpretable Decisions
      • Mathematical Modelling Approaches
      • Derivation and Definition of Acceptance Criteria
      • Safety Analyses
      • Failure Modes and Safety Mechanisms
  • Hands-On Workshop
    • Introduction to Development and Test Tools
    • Guided and interactive workshop on selected examples incorporating the safety basics presented during the training
  • Prerequisites:
    • Basic Programming Skills
    • Pre-Installed Development Environment
    • Basic knowledge of Functional Safety is beneficial but not required
  • Duration:

    2 Days (50% focus on AI Basics and Key Safety Techniques; 50% hands-on Workshop).

  • Language:

    Can be chosen between German or English, training material will be in English

  • Location: GmbH office
    Prof.-Messerschmitt-Straße 1
    D-85579 Neubiberg / Germany

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We provide consulting, assessment, cybersecurity, alarm management, product testing and certification under a number of Functional Safety, Security and SW Quality standards, such as IEC 61508, IEC 61511, ISO 26262, ISO 13849, IEC 62061, ISA Security Compliance Institute (ISCI), ASPICE


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