Program profile · official sources

Large Language Model Operations (LLMOps) Specialization

The 'Large Language Model Operations (LLMOps) Specialization' by Duke University on Coursera is a beginner-level, 6-course program focused on deploying, managing, and optimizing large language models. Taught in English, the program covers generative AI techniques across platforms like Azure, AWS, Databricks, and local infrastructure. The curriculum includes over 20 coding projects to build hands-on experience, preparing learners for roles such as Machine Learning Engineer or Cloud Architect. It takes about 5 months to complete at 10 hours a week. Earning the shareable career certificate requires completing the coursework, though the exact mandatory assessment count is not specified. As shown in the United States on 15 October 2026, no exact subscription cost is provided, though financial aid is available.

Facts checked 15 Oct 2026

Price
See pricing

As shown in the United States on 15 October 2026: No specific subscription price is provided in the captured text. 'Enroll for free' and 'Financial aid available' are indicated, though the FAQ notes you cannot take the course for free. Included with a Coursera subscription.

Provider link

See price and enroll at Duke University (official site) ↗

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Time
5 months to complete at 10 hours a week
Level
Beginner level
Credential
Provider-issued course certificate

Add this credential to your LinkedIn profile, resume, or CV. Share it on social media and in your performance review.

Prerequisites
The source page displays a 'Recommended experience' label but does not detail which specific experience is recommended.
Format
100% online, self-paced course

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

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 to Generative AI
  • Operationalizing LLMs on Azure
  • Advanced Data Engineering
  • GenAI and LLMs on AWS
  • Databricks to Local LLMs
  • Open Source LLMOps Solutions

Prerequisites: The source page displays a 'Recommended experience' label but does not detail which specific experience is recommended.

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What you actually do

  • Introduction to Generative AI : 38 hours; Course 1 · Source
  • Operationalizing LLMs on Azure : 11 hours; Course 2 · Source
  • Advanced Data Engineering : 23 hours; Course 3 · Source
  • GenAI and LLMs on AWS : 46 hours; Course 4 · Source
  • Databricks to Local LLMs : 27 hours; Course 5 · Source
  • Open Source LLMOps Solutions : 36 hours; Course 6 · Source

What the credential is

Credential type
Provider-issued course certificate · www.coursera.org / large-language-model-operations
Credential
Career certificate · www.coursera.org / large-language-model-operations
Issuer
Duke University · www.coursera.org / large-language-model-operations
Sharing
Add this credential to your LinkedIn profile, resume, or CV. Share it on social media and in your performance review. · www.coursera.org / large-language-model-operations
Exam requirement
The FAQ states you earn a certificate when you 'complete the work.' While the curriculum describes over 20 hands-on coding projects, the source does not confirm if every project is a formally mandatory graded assessment, nor does it detail any separate final exam requirement. · www.coursera.org / large-language-model-operations

Alternatives in the registry

Related by topic or level.

Change log

  • : Initial recorded review of official program details. · Source
  • : Publishing-day recheck of the official Coursera page captured from the United States on 15 October 2026: the "Skills you'll gain" and "Tools you'll learn" lists changed, so one topic no longer shown was removed; level, duration, courses, price state, language and certificate unchanged. · Source
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