Why AI Is Here to Stay and How New Developers Can Find the Right Balance

Why AI Is Here to Stay and How New Developers Can Find the Right Balance

Scrimba via YouTube Direct link

The spectrum of career opportunities in AI engineering

4 of 19

4 of 19

The spectrum of career opportunities in AI engineering

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Classroom Contents

Why AI Is Here to Stay and How New Developers Can Find the Right Balance

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  1. 1 How Sam Julien got into AI engineering
  2. 2 What convinced Sam that AI was here to stay?
  3. 3 Sam was strategic about pursuing AI engineering
  4. 4 The spectrum of career opportunities in AI engineering
  5. 5 Machine learning is not the only thing you can work on!
  6. 6 Break
  7. 7 What is Writer
  8. 8 Writer's own AI models - also available on Hugging Face
  9. 9 Are there opportunities for front-end developers in this space?
  10. 10 How to learn AI engineering?
  11. 11 Using models to teach you how to use models
  12. 12 Did Sam use AI to get a job in AI engineering?
  13. 13 Quick-fire questions: favorite podcasts, music, and people to follow
  14. 14 Do you need an ML certificate?
  15. 15 Novel uses and core applications of AI and LLMs
  16. 16 Should a new developer focus on AI?
  17. 17 How to stay future-proof
  18. 18 It just takes one breakthrough to catch you by surprise
  19. 19 How to use Writer

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