Program profile · official sources

Pydantic for LLM Workflows

DeepLearning.AI teaches data validation for LLM applications using Pydantic. Learners validate user input, structure model responses, pass data models to LLM APIs and define tool-call parameters. A customer-support assistant provides the application context, and the outline includes a hands-on project, graded quiz and downloadable resources. Basic Python comfort is the stated audience background. The emphasis is validation across an application workflow rather than a guarantee that generated content is factually correct.

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) ↗

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Time
1h50m listed course duration
Level
Intermediate
Credential
DeepLearning.AI Accomplishment

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

Prerequisites
The intended learner is comfortable with basic Python; no formal admission requirement is stated. 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

  • Welcome to Pydantic for LLM workflows
  • Introduction to Pydantic for LLM workflows
  • Pydantic model basics
  • Validating LLM responses
  • Passing a Pydantic model in your API call
  • Tool calling
  • Hands-On Project Introduction Video
  • Hands-On Project
  • Conclusion
  • Quiz
  • Appendix - Tips, Help, and Download

Prerequisites: The intended learner is comfortable with basic Python; no formal admission requirement is stated. 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

  • Welcome to Pydantic for LLM workflows : 3m; Video; provider outline item · Source
  • Introduction to Pydantic for LLM workflows : 10m; Video; provider outline item · Source
  • Pydantic model basics : 13m; Video with Code Example; provider outline item · Source
  • Validating LLM responses : 15m; Video with Code Example; provider outline item · Source
  • Passing a Pydantic model in your API call : 9m; Video with Code Example; provider outline item · Source
  • Tool calling : 19m; Video with Code Example; provider outline item · Source
  • Hands-On Project Introduction Video : 5m; Video; provider outline item · Source
  • Hands-On Project : 15m; Code Example; provider outline item · Source
  • Conclusion : 1m; Video; provider outline item · Source
  • Quiz : 7m; Graded; provider outline item · Source
  • Appendix - Tips, Help, and Download : 10m; Code Example; provider outline item · Source

What the credential is

Credential type
DeepLearning.AI Accomplishment · www.deeplearning.ai / pydantic-for-llm-workflows
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 / pydantic-for-llm-workflows
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 1h50m; 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

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  • Efficient Inference with SGLang: Text and Image Generation : 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.); 1h19m listed course duration (duration checked 15 October 2026).

Change log

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