Ask HN: How to Transition from Software Engineer to AI/ML Engineer

A software engineer, who has been working on developing Co-pilots using Langchain, OpenAI, RAG for the past year, is seeking advice on how to transition to an AI/ML engineer role. They are looking for course and book recommendations to build their knowledge in this area.

In response, it is suggested that a strong background in mathematics is often required for AI/ML engineers. They can get started with PyTorch, but should focus on linear algebra and optimization for deep learning, and statistics and probability for general data science.

Key takeaways

The author is a Software Engineer looking to transition into AI/ML engineering, having already started developing Co-pilots using Langchain, OpenAI, RAG.
The author is seeking advice on what courses or books to read to build knowledge in AI/ML.
A response suggests that a strong math background is usually required for AI/ML engineers, particularly in linear algebra and optimization for deep learning.
For general data science, the responder recommends focusing on statistics and probability.

Ask HN: How to Transition from Software Engineer to AI/ML Engineer

Key takeaways

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