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Start 5 June 2026 17:46

Einde 5 June 2026

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Phantom Dependencies in AI and ML Projects - Managing Hidden Software Dependencies

Discover how phantom dependencies impact AI/ML projects and learn effective strategies for identifying, managing, and securing these hidden software dependencies in your applications.
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25 minutes

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Overzicht

Discover how phantom dependencies impact AI/ML projects and learn effective strategies for identifying, managing, and securing these hidden software dependencies in your applications.

Lesprogramma

  • Introduction to Phantom Dependencies
  • Definition and significance in AI/ML projects
    How phantom dependencies differ from explicit dependencies
  • Identifying Phantom Dependencies
  • Tools and techniques for dependency analysis
    Case studies of hidden dependencies in AI/ML projects
  • Impact of Phantom Dependencies
  • Performance implications
    Security vulnerabilities
    Maintenance challenges
  • Managing Phantom Dependencies
  • Effective dependency management practices
    Version control strategies
    Using dependency managers (e.g., pip, conda, npm)
  • Securing Dependencies in AI/ML Applications
  • Best practices for dependency vulnerability assessments
    Integrating security tools into the CI/CD pipeline
    Regular updates and patch management
  • Strategies for Dependency Optimization
  • Minimizing dependency bloat
    Balancing performance with security and maintainability
  • Case Studies and Real-world Examples
  • Lessons learned from well-known AI/ML project failures due to poor dependency management
    Success stories in mitigating phantom dependencies
  • Hands-on Workshop
  • Practical exercises on identifying and resolving phantom dependencies
    Simulated project environment for experiential learning
  • Future Trends in Dependency Management
  • Emerging tools and methodologies
    The role of AI in managing software dependencies
  • Conclusion and Best Practices Recap
  • Key takeaways and actionable measures for effective dependency management in AI/ML projects

Vakgebieden

Programming