Program profile · official sources
AI Code Review
DeepLearning.AI and Qodo teach practices for AI code review and construction of a context-aware review agent. Learners review before opening a pull request, supply task and repository context, and prioritize findings by risk. Code examples build a context engine using embeddings and vector search, then combine specialized review agents. Python familiarity is helpful.
Facts checked 15 Oct 2026
- Price
- See pricing
As shown in the United States on 15 October 2026, the page does not display a numeric fee. Embedded metadata categorizes an offer as Free, while visible copy associates accomplishments and graded features with Pro. The scope of that embedded free offer is not established; no free credential or numeric enrollment price is inferred.
- Provider link
See price and enroll at DeepLearning.AI (official site) ↗
Official site. No commission.
- Time
- 1h4m listed course duration; individual activity estimates are rounded
- Level
- Intermediate
- Credential
- Accomplishment with Pro
- Prerequisites
- Comfort with Python is helpful because learners build a context engine and review agents.
- Format
- Online course with video lessons and listed learning activities
Commercial status: no commercial relationship is documented for this page. The verification link goes directly to the official provider source.
Sources ↗
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
- Overview of AI Code Review
- AI Code Review Best Practices - Part 1
- AI Code Review Best Practices - Part 2
- Why Context Matters
- Building a Context Engine
- Building Specialized Code Review Agents
- Conclusion
- Quiz
- [Optional] Glossary
Prerequisites: Comfort with Python is helpful because learners build a context engine and review agents.
What you actually do
- Introduction : 2m; Video; provider outline item, not a separately named module · Source
- Overview of AI Code Review : 12m; Video; provider outline item, not a separately named module · Source
- AI Code Review Best Practices - Part 1 : 9m; Video; provider outline item, not a separately named module · Source
- AI Code Review Best Practices - Part 2 : 12m; Video; provider outline item, not a separately named module · Source
- Why Context Matters : 6m; Video with Code Example; provider outline item, not a separately named module · Source
- Building a Context Engine : 6m; Video with Code Example; provider outline item, not a separately named module · Source
- Building Specialized Code Review Agents : 5m; Video with Code Example; provider outline item, not a separately named module · Source
- Conclusion : 1m; Video; provider outline item, not a separately named module · Source
- Quiz : 10m; Graded; provider outline item, not a separately named module · Source
- [Optional] Glossary : 1m; Reading; provider outline item, not a separately named module · Source
What the credential is
- Credential type
- Accomplishment with Pro · www.deeplearning.ai / ai-code-review
- Credential
- Accomplishment with Pro · www.deeplearning.ai / ai-code-review
- Exam requirement
- A graded quiz is listed; its passing threshold and any separate final examination are not stated. · www.deeplearning.ai / ai-code-review
- Credential scope
- As checked on 15 October 2026, the course page identifies an accomplishment with Pro, not an explicitly named academic or professional certification. The capture does not establish an independent credential issuer, full completion thresholds, expiry, renewal or academic-credit eligibility. · www.deeplearning.ai / ai-code-review
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: Visible course duration is 1h4m; same-course embedded metadata has generic courseWorkload PT1H. The visible duration is retained as text; no single numeric completion estimate is used. · 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
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Change log
- : Initial source review from the dated US capture. · Source
See price and enroll at DeepLearning.AI (official site) ↗
Official site. No commission.