Program profile · official sources

Fast LLM Inference with Cerebras

DeepLearning.AI and Cerebras explore how inference hardware and memory movement affect application design. Learners examine the Wafer-Scale Engine, compare hardware approaches, and build personalization and multi-tool workflows. A lesson also covers multi-agent coding practices. Python and LLM API familiarity are helpful. The course demonstrates latency-sensitive use cases; no independently measured hardware-performance claim is made here.

Facts checked 15 Oct 2026

Price
Free
(As shown in the United States on 15 October 2026, the provider help page states Short Courses are free; Accomplishments require a Pro subscription. This zero is scoped to free content access, not a credential-inclusive completion total. The captured membership page does not expose a numeric price in its visible text. External API, cloud, compute and tool costs are not quantified.)
Provider link

See price and enroll at DeepLearning.AI (official site) ↗

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Time
1h41m listed course duration
Level
Intermediate
Credential
DeepLearning.AI Accomplishment

The provider recommends sharing an Accomplishment screenshot, including on LinkedIn.

Prerequisites
Basic familiarity with Python and calling an LLM API is helpful.
Format
Online self-paced learning with video lessons and listed activities

Commercial status: no commercial relationship is documented for this page. The verification link goes directly to the official provider source.

This program is free. It is not plotted on the logarithmic price scale. 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
  • The New Era Of Inference Speed
  • Inference Speed in Action - Part I
  • Inference Speed in Action - Part II
  • Under the Hood of WSE vs GPU vs TPU
  • Engineering Shifts
  • Real-Time Use Case on Personalization
  • Real-Time Multi-Tool Workflow
  • Multi-Agent Coding with Codex
  • Conclusion
  • Quiz
  • Glossary (Optional)

Prerequisites: Basic familiarity with Python and calling an LLM API is helpful.

Explore DeepLearning.AI

What you actually do

  • Introduction : 4m; Video; provider outline item · Source
  • The New Era Of Inference Speed : 7m; Video; provider outline item · Source
  • Inference Speed in Action - Part I : 3m; Video; provider outline item · Source
  • Inference Speed in Action - Part II : 9m; Video with Code Example; provider outline item · Source
  • Under the Hood of WSE vs GPU vs TPU : 11m; Video; provider outline item · Source
  • Engineering Shifts : 13m; Video with Code Example; provider outline item · Source
  • Real-Time Use Case on Personalization : 10m; Video with Code Example; provider outline item · Source
  • Real-Time Multi-Tool Workflow : 13m; Video with Code Example; provider outline item · Source
  • Multi-Agent Coding with Codex : 5m; Video; provider outline item · Source
  • Conclusion : 1m; Video; provider outline item · Source
  • Quiz : 10m; Graded; provider outline item · Source
  • Glossary (Optional) : 10m; Reading; provider outline item · Source

What the credential is

Credential type
DeepLearning.AI Accomplishment · www.deeplearning.ai / fast-llm-inference-with-cerebras
Credential
DeepLearning.AI Accomplishment · info.deeplearning.ai / draft-understanding-certificates-and-accomplishments-in-deeplearning.ai-courses
Issuer
DeepLearning.AI · info.deeplearning.ai / draft-understanding-certificates-and-accomplishments-in-deeplearning.ai-courses
Sharing
The provider recommends sharing an Accomplishment screenshot, including on LinkedIn. · info.deeplearning.ai / draft-understanding-certificates-and-accomplishments-in-deeplearning.ai-courses
Exam requirement
A graded quiz is listed, but a passing threshold and separate final examination are not stated. · www.deeplearning.ai / fast-llm-inference-with-cerebras
Credential scope
As checked on 15 October 2026, Pro subscribers completing this short course receive an Accomplishment visible in their account. The provider explicitly says Accomplishments are not official certificates. Free users do not receive certificates or accomplishments. Full passing thresholds, academic credit, expiry and renewal are not established. As checked on 15 October 2026, the course page places additional learning features such as quizzes and projects in DeepLearning.AI Pro; free content access does not include those Pro activities. Membership upgrades take effect immediately. After a downgrade, access to all content and eligibility to earn certificates continue until the next billing cycle. Progress on courses already started is saved for 180 days, allowing a later upgrade to finish quizzes or assignments; this is progress retention, not 180 days of continued Pro access. The membership page uses the general term certificates; this short course awards an Accomplishment, not an official certificate. For reviewed exception cases that are eligible, support issues a full refund, typically processed in 5–10 business days depending on the bank. The direct Pro policy retains its seven-day trial and non-refundable post-trial payments, renewals and upgrades, with no partial refund for early cancellation or downgrade. Incorrect charges or billing after cancellation during the trial are reviewed for eligibility. · info.deeplearning.ai / draft-understanding-certificates-and-accomplishments-in-deeplearning.ai-courses

Cost details

Membership and refund terms: As checked on 15 October 2026, the direct Pro refund policy describes a seven-day trial: cancel during it to avoid charges. Afterward payments, renewals and upgrades are non-refundable; early cancellation or downgrade does not receive a partial refund, and access continues to the next renewal. Incorrect charges or charges after cancellation during the trial may be reviewed for a refund. These are direct-platform terms, not Coursera terms. Membership upgrades take effect immediately. After a downgrade, access to all content and eligibility to earn certificates continue until the next billing cycle. Progress on courses already started is saved for 180 days, allowing a later upgrade to finish quizzes or assignments; this is progress retention, not 180 days of continued Pro access. The membership page uses the general term certificates; this short course awards an Accomplishment, not an official certificate. For reviewed exception cases that are eligible, support issues a full refund, typically processed in 5–10 business days depending on the bank. · Source · Source · Source · Source

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: The visible page lists 1h41m; embedded courseWorkload PT1H is a different generic value. No reconciled numeric completion estimate is inferred. · 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

Who should skip it

  • Free access excludes certificates and accomplishments; the relevant recognition requires Pro membership. · Official source · 2026-10-15
  • Short-course Accomplishments are not official certificates. · Official source · 2026-10-15
  • As checked on 15 October 2026, the course page places additional learning features such as quizzes and projects in DeepLearning.AI Pro; free content access does not include those Pro activities. · Official source · 2026-10-15

Alternatives in the registry

Related by topic or level.

  • Fast & Efficient LLM Inference with vLLM : Check official price; 1h38m listed course duration; individual activity estimates are rounded (duration checked 15 October 2026).
  • Finetuning with Llama : Check official price; 2 hours (provider headline; section and exam times listed separately) (duration checked 25 September 2026).
  • Introduction to LLaMA : Check official price; 2 hours (provider headline; module and exam timings listed separately) (duration checked 27 September 2026).

Change log

  • : Initial source review from the dated US capture. · Source
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