Description
TensorFlow: From Zero to Production-Ready Models
TensorFlow is the world’s most widely used deep learning framework—powering everything from mobile apps to data centers. This course takes you from **first tensor to deployed model**, covering core APIs, debugging, and performance tuning used by Google engineers.
What You’ll Build
- A handwritten digit classifier with tf.data and Keras
- A text sentiment analyzer using tf.keras and embeddings
- A custom training loop with GradientTape and tf.function
- A model exporter for TensorFlow Serving
Key Skills You’ll Gain
- tf.data—build high-performance input pipelines
- tf.keras—high-level model building with subclassing
- TensorBoard—visualize metrics, graphs, and embeddings
- Eager execution & tf.function—debug easily, run fast
- Model saving & loading—SavedModel, HDF5, checkpoints
Why TensorFlow in 2025?
- Industry standard—used by Google, NVIDIA, Intel, and startups
- End-to-end ecosystem—from research (TF Research Cloud) to mobile (TF Lite)
- Strong tooling—TensorBoard, TF Profiler, TF Extended (TFX)
Who Should Enroll?
- Python developers entering AI
- Data scientists upgrading from scikit-learn
- Students building capstone projects
- Engineers preparing for ML system design interviews
Your TensorFlow Journey Starts Here
No fluff, no magic—just the **skills used in real TensorFlow projects** around the world.
Stop watching tutorials. Start building. Enroll today.
