Key Learning Points from MLOps Specialization Course by DeepLearning.AI

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Conclusion

At the end of the day, it is important to remember that ML model code is only a small part (~5–10%) of a successful ML system, and the objective should be to create value by placing ML models into production.

Overview of a ML production system | Image by author

I hope that these takeaways have provided you with fresh perspectives and valuable insights, regardless of whether you have had experience with ML production.

These learning points are just a subset of the many nuggets of practical advice in the course, so do check out the notes and videos.

I also welcome you to join me on a data science learning journey! Feel free to give this Medium page a follow to stay in the loop of more data science content (and subsequent notes releases), or reach out to me on LinkedIn. Have fun learning about ML production systems!

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