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Authors: Matty Stratton, Whitney Lee
2022-05-20

tldr - powered by Generative AI

The presentation discusses a cycle for learning complex topics like Kubernetes, emphasizing the importance of collecting resources, refining them, and repeating the cycle. It also highlights the need to evaluate personal knowledge level, learning style, and available time when choosing resources.
  • Collect introductory resources to get a sense of the landscape
  • Skim resources to identify patterns and evaluate assumed knowledge
  • Narrow down resources based on personal resonance and learning style
  • Track study habits and accept that learning is a lifelong process
  • Seek guidance from mentors and participate in public learning communities
  • Deep learning takes time, so build a good pattern and repeat the cycle