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TensorFlow Learning Roadmap

From Keras basics to production serving with TensorFlow Extended (TFX).

Estimated time:2–3 months

1🌱

Phase 1 — Fundamentals

Tensors & eager execution

Keras Sequential/Functional API

tf.data pipelines

Loss functions & optimizers

2🏋️

Custom training loops (GradientTape)

Callbacks (early stopping, checkpoints)

Mixed precision training

TensorBoard for experiment visualization

3📈

tf.distribute strategies (multi-GPU/TPU)

Input pipeline performance tuning

SavedModel format

4🚀

important

TensorFlow Serving

TensorFlow Lite for mobile/edge

TFX for production ML pipelines

Model versioning & rollback

Begin with interview questions to assess your current level.