Program profile · official sources

Post-training of LLMs

DeepLearning.AI presents post-training methods taught by Banghua Zhu of the University of Washington and Nexusflow. Learners examine supervised fine-tuning, direct preference optimization and online reinforcement learning, including data curation and reward design. Labs turn a base model into an instruction-following model, change a chat assistant’s identity and improve mathematical behaviour with GRPO. LLM familiarity is the stated audience background. This short course is separate from the longer Fine-tuning and RL introduction in the catalogue.

Facts checked 15 Oct 2026

Price
Free
(As shown in the United States on 15 October 2026, the provider support page allows free content access, excluding certificates and Accomplishments. Zero applies only to content access, not a credential-inclusive total. The course header marks its 1 graded assignment as Pro access. No complete third-party API, software or compute budget is established. The course page describes free access as limited to the platform beta; no end date is stated. No numeric Pro subscription price is established by this course page or the visible membership capture.)
Provider link

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

Official site. No commission.

Time
1h26m listed course duration
Level
Intermediate
Credential
DeepLearning.AI Accomplishment

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

Prerequisites
Familiarity with LLM basics is the stated audience background; a formal programming prerequisite is not specified. The course header marks its 1 graded assignment as Pro access. Free content access does not establish access to every listed assessment or project.
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
  • Introduction to Post-training
  • Basics of SFT
  • SFT in Practice
  • Basics of DPO
  • DPO in Practice
  • Basics of Online RL
  • Online RL in Practice
  • Conclusion
  • Quiz

Prerequisites: Familiarity with LLM basics is the stated audience background; a formal programming prerequisite is not specified. The course header marks its 1 graded assignment as Pro access. Free content access does not establish access to every listed assessment or project.

Explore DeepLearning.AI

What you actually do

  • Introduction : 3m; Video; provider outline item · Source
  • Introduction to Post-training : 9m; Video; provider outline item · Source
  • Basics of SFT : 8m; Video; provider outline item · Source
  • SFT in Practice : 13m; Video with Code Example; provider outline item · Source
  • Basics of DPO : 7m; Video; provider outline item · Source
  • DPO in Practice : 9m; Video with Code Example; provider outline item · Source
  • Basics of Online RL : 11m; Video; provider outline item · Source
  • Online RL in Practice : 11m; Video with Code Example; provider outline item · Source
  • Conclusion : 2m; Video; provider outline item · Source
  • Quiz : 10m; Graded; provider outline item · Source

What the credential is

Credential type
DeepLearning.AI Accomplishment · www.deeplearning.ai / post-training-of-llms
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
The outline lists 1 graded assignment. A separate comprehensive final examination and passing threshold are not stated. · www.deeplearning.ai / post-training-of-llms
Credential scope
As checked on 15 October 2026, Pro subscribers completing this short course receive an Accomplishment visible in their account. It is explicitly not an official certificate. Free users do not receive certificates or accomplishments. Passing thresholds, separate final-exam requirements, expiry, renewal and academic credit are not established. The course header marks its 1 graded assignment as Pro access. Direct Pro membership upgrades take effect immediately. After a downgrade, access to content and eligibility to earn certificates continue until the next billing cycle, and progress on started courses is saved for 180 days. This does not turn short-course Accomplishments into official certificates. The seven-day trial can be cancelled to avoid charges. After the trial, new payments, renewals and upgrades are non-refundable; early cancellation or downgrade receives no partial refund, with access until the next renewal. Incorrect charges or charges after a trial cancellation may qualify for a full refund after support review. Eligible refunds typically take 5–10 business days, depending on the bank. These are direct-platform terms, not Coursera terms. · info.deeplearning.ai / draft-understanding-certificates-and-accomplishments-in-deeplearning.ai-courses

Cost details

Membership and refund terms: As checked on 15 October 2026, direct Pro membership upgrades take effect immediately. After a downgrade, access to content and eligibility to earn certificates continue until the next billing cycle, and progress on started courses is saved for 180 days. This does not turn short-course Accomplishments into official certificates. The seven-day trial can be cancelled to avoid charges. After the trial, new payments, renewals and upgrades are non-refundable; early cancellation or downgrade receives no partial refund, with access until the next renewal. Incorrect charges or charges after a trial cancellation may qualify for a full refund after support review. Eligible refunds typically take 5–10 business days, depending on the bank. These are direct-platform terms, not Coursera terms. · 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.

  • Language: As checked on 15 October 2026, the matching Course metadata states inLanguage="en" and availableLanguage=["en","jp","kr"]. English is retained; the additional literal codes do not establish teaching audio, subtitles or another language-option scope. · Source
  • Duration: The visible course duration is 1h26m; same-course embedded courseWorkload PT1H differs. No numeric completion estimate is inferred. · Source

Who should skip it

  • Free content access excludes certificates and Accomplishments; recognition requires Pro membership. The course header marks its 1 graded assignment as Pro access. · Official source · 2026-10-15
  • Short-course Accomplishments are not official certificates. · Official source · 2026-10-15

Alternatives in the registry

Related by topic or level.

  • Fine-tuning & RL for LLMs: Intro to Post-training : Free (As shown in the United States on 15 October 2026, the provider support page allows free content access, excluding certificates and Accomplishments. Zero applies only to content access, not a credential-inclusive total. The course header marks its 11 graded assignments as Pro access. No complete third-party API, software or compute budget is established. The course FAQ separately quotes USD 30 per month billed monthly or USD 25 per month billed annually, as shown in the United States on 15 October 2026; taxes may apply. These recurring access quotes are not a completion total or an explicitly stated annual charged amount.); 13h19m listed course duration (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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