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Andrew Ng announced on 2026-03-04 a new deeplearning.ai short course, “Build and…
Brief
Andrew Ng announced a new deeplearning.ai short course (2026-03-04) — Build and Train an LLM with JAX — produced with Google and taught by Chris Achard. The hands-on course teaches building and training a 20M-parameter MiniGPT-style model using JAX/Flax/NNX, covers autodiff, JIT, and vectorized execution, and includes a chat UI for inference.
Why it matters
Andrew Ng announced on 2026-03-04 a new deeplearning.ai short course, “Build and Train an LLM with JAX,” created in partnership with Google and taught by Chris Achard (@chrisachard).
Key details
- The course walks students through building and training a 20-million-parameter MiniGPT-style language model from scratch using JAX and the Flax/NNX ecosystem, implementing embedding and transformer blocks.
- Students will learn JAX core primitives—automatic differentiation, JIT compilation, and vectorized execution—load a pretrained MiniGPT for inference, and interact with their trained model via a graphical chat interface (deeplearning.ai/short-course).