Program profile · official sources
Build and Train an LLM with JAX
DeepLearning.AI and Google teach a compact language-model workflow using JAX. Learners implement a MiniGPT-style model, prepare data, train and save it, and run inference through a chat interface. The course uses Flax/NNX, Grain, Optax and Orbax to illustrate architecture, loading, optimization and checkpointing. Python and basic machine learning familiarity are recommended.
Facts checked 15 Oct 2026
- Price
- See pricing
As shown in the United States on 15 October 2026, the page does not display a numeric fee. Embedded metadata categorizes an offer as Free, while visible copy associates accomplishments and graded features with Pro. The scope of that embedded free offer is not established; no free credential or numeric enrollment price is inferred.
- Provider link
See price and enroll at DeepLearning.AI (official site) ↗
Official site. No commission.
- Time
- 49m listed course duration; individual activity estimates are rounded
- Level
- Intermediate
- Credential
- Accomplishment with Pro
- Prerequisites
- Familiarity with Python and basic machine learning concepts is recommended.
- Format
- Online course with video lessons and listed learning activities
Commercial status: no commercial relationship is documented for this page. The verification link goes directly to the official provider source.
Sources ↗
No accepted numeric price in this registry. See the sourced pricing details below.
See the full registry price landscape. Prices retain their stated payment scope; they are not comparable completion costs.
What’s covered
- Introduction
- Overview of JAX
- Building the Architecture
- Data Loading
- Training and Saving
- Final MiniGPT
- Conclusion
- Quiz
Prerequisites: Familiarity with Python and basic machine learning concepts is recommended.
What you actually do
- Introduction : 2m; Video; provider outline item, not a separately named module · Source
- Overview of JAX : 6m; Video; provider outline item, not a separately named module · Source
- Building the Architecture : 10m; Video with Code Example; provider outline item, not a separately named module · Source
- Data Loading : 6m; Video with Code Example; provider outline item, not a separately named module · Source
- Training and Saving : 8m; Video with Code Example; provider outline item, not a separately named module · Source
- Final MiniGPT : 3m; Video with Code Example; provider outline item, not a separately named module · Source
- Conclusion : 1m; Video; provider outline item, not a separately named module · Source
- Quiz : 10m; Graded; provider outline item, not a separately named module · Source
What the credential is
- Credential type
- Accomplishment with Pro · www.deeplearning.ai / build-and-train-an-llm-with-jax
- Credential
- Accomplishment with Pro · www.deeplearning.ai / build-and-train-an-llm-with-jax
- Exam requirement
- A graded quiz is listed; its passing threshold and any separate final examination are not stated. · www.deeplearning.ai / build-and-train-an-llm-with-jax
- Credential scope
- As checked on 15 October 2026, the course page identifies an accomplishment with Pro, not an explicitly named academic or professional certification. The capture does not establish an independent credential issuer, full completion thresholds, expiry, renewal or academic-credit eligibility. · www.deeplearning.ai / build-and-train-an-llm-with-jax
Source differences retained
As checked on 15 October 2026, the official page gives differing information on the points below. Each reading is kept as found; none is reconciled.
- Duration: Visible course duration is 49m; same-course embedded metadata has generic courseWorkload PT1H. The visible duration is retained as text; no single numeric completion estimate is used. · Source
- Language: As checked on 15 October 2026, the same-course structured metadata states inLanguage="en" and availableLanguage=["en","jp","kr"]. English is retained; the additional literal codes do not establish whether they describe teaching audio, subtitles or another language option. No additional delivery language is verified. · Source
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Change log
- : Initial source review from the dated US capture. · Source
See price and enroll at DeepLearning.AI (official site) ↗
Official site. No commission.