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Read the guideAI and machine learning courses designed for software developers. Bridge from traditional coding to AI/ML engineering with practical, code-first programs.
Start with fast.ai (designed for coders), then build a project using AI APIs (OpenAI, Claude). This gets you productive in weeks. Add ML fundamentals later for deeper understanding.
Yes, Python dominates AI/ML. The good news: if you know any programming language, learning Python basics takes 1-2 weeks. Focus on NumPy, pandas, and either PyTorch or TensorFlow.
Both. Start with AI APIs for immediate productivity (building LLM applications). Then learn ML fundamentals for deeper work (custom models, fine-tuning). The combination makes you a full-stack AI developer.
With focused effort: 6-9 months to transition. Your software engineering skills transfer directly — you mainly need ML concepts, frameworks, and deployment knowledge. This is faster than learning from scratch.
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