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Deep learning fundamentals (fast.ai or DeepLearning.AI), then model deployment/MLOps, then LLM applications. Your existing Python and statistics knowledge gives you a huge head start.
Easier than for most other professionals. You already have Python, statistics, and mathematical foundations. The main new concepts are neural network architectures, backpropagation, and training optimization. Expect 2-3 months to proficiency.
PyTorch is recommended for 2026. It dominates in research, is growing in industry, and is more Pythonic/intuitive for data scientists. TensorFlow is still important for some production environments.
3-6 months of focused learning. Key additions: deep learning frameworks, model serving/deployment, MLOps tools, and containerization. Your analytical skills and Python proficiency provide a strong foundation.
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