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Jupyter AI: AI Coding in Notebooks

Andrew Ng and Project Jupyter co-founder Brian Granger teach AI-assisted coding inside notebooks. Learners generate and explain code, provide documentation as context, and build a book research assistant using the Open Library API. Another workflow analyzes and visualizes stock-market data. Exercises and local setup instructions are included. No AI coding-tool experience is required; basic Python familiarity is helpful.

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

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Time
1h14m listed course duration
Level
Beginner
Credential
DeepLearning.AI Accomplishment

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

Prerequisites
No prior experience with AI coding tools is required. Basic Python familiarity is helpful. 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.

Facts checked 15 October 2026 against DeepLearning.AI’s official page ·
Sources ↗
· Next check November 2026

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
  • Coding with Jupyter AI
  • Exercise 1
  • Building an AI Book Research Assistant
  • Exercise 2
  • Exploring Stock Market Data
  • Exercise 3
  • How to Set Up Jupyter AI Locally
  • Conclusion
  • Quiz

Prerequisites: No prior experience with AI coding tools is required. Basic Python familiarity is helpful. The course header marks its 1 graded assignment as Pro access. Free content access does not establish access to every listed assessment or project.

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What you actually do

  • Introduction : 4m; Video; provider outline item · Source
  • Coding with Jupyter AI : 7m; Video; provider outline item · Source
  • Exercise 1 : 10m; Code Example; provider outline item · Source
  • Building an AI Book Research Assistant : 9m; Video; provider outline item · Source
  • Exercise 2 : 10m; Code Example; provider outline item · Source
  • Exploring Stock Market Data : 8m; Video; provider outline item · Source
  • Exercise 3 : 10m; Code Example; provider outline item · Source
  • How to Set Up Jupyter AI Locally : 3m; Reading; provider outline item · Source
  • Conclusion : 1m; Video; provider outline item · Source
  • Quiz : 9m; Graded; provider outline item · Source

What the credential is

Credential type
DeepLearning.AI Accomplishment · www.deeplearning.ai / jupyter-ai-coding-in-notebooks
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 / jupyter-ai-coding-in-notebooks
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. · 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 1h14m; 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.

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  • AI Fundamentals : DataCamp Premium : USD 35/month for course content, billed monthly at the regular price (price checked 8 September 2026); Approximately 9 hours (duration checked 8 September 2026).
  • AI Prompting for Everyone : Free (As shown in the United States on 15 October 2026, the provider help page states free users can access course content but receive no certificate. 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. The course FAQ separately quotes Pro at 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 are recurring access quotes, not a completion total or an explicitly listed annual charged amount.); 7h4m listed course duration (duration checked 15 October 2026).

Change log

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

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