Program profile · official sources
Multi-vector Image Retrieval
DeepLearning.AI and Qdrant teach image retrieval with patch-level embeddings. Learners begin with ColBERT text retrieval, implement ColPali for images, reduce memory use with quantization and pooling, and use MUVERA representations for search. They combine these techniques in a multimodal RAG pipeline. Python and vector-embedding familiarity are recommended. The outline includes an optional project and a graded quiz; Pro completion recognition is an Accomplishment.
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. The page also states that additional quizzes and projects are included with Pro. No complete third-party API, software or compute budget is established. 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
- 1h43m listed course duration
- Level
- Intermediate
- Credential
- DeepLearning.AI Accomplishment
The provider recommends sharing an Accomplishment screenshot, including on LinkedIn.
- Prerequisites
- Familiarity with Python and vector embeddings is recommended. The course header marks its 1 graded assignment as Pro access. The page also states that additional quizzes and projects are included with Pro. 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.
Sources ↗
- Price : https://info.deeplearning.ai/knowledge-base/draft-understanding-certificates-and-accomplishments-in-deeplearning.ai-courses
- Duration : https://www.deeplearning.ai/courses/multi-vector-image-retrieval
- Official program page : https://www.deeplearning.ai/courses/multi-vector-image-retrieval
- Cost terms : https://www.deeplearning.ai/membership
- Cost terms : https://info.deeplearning.ai/knowledge-base/how-do-refunds-work-for-the-deeplearning.ai-pro-membership-free-trial
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
- Multi-vector Text Retrieval: ColBERT
- Multi-vector Image Retrieval: ColPali
- Optimizing retrieval with multi vector representations
- MUVERA Embeddings
- Building multi-modal RAG with ColPali
- Conclusion
- Optional: Hands-On Project
- Quiz
Prerequisites: Familiarity with Python and vector embeddings is recommended. The course header marks its 1 graded assignment as Pro access. The page also states that additional quizzes and projects are included with Pro. Free content access does not establish access to every listed assessment or project.
What you actually do
- Introduction : 3m; Video; provider outline item · Source
- Multi-vector Text Retrieval: ColBERT : 17m; Video with Code Example; provider outline item · Source
- Multi-vector Image Retrieval: ColPali : 15m; Video with Code Example; provider outline item · Source
- Optimizing retrieval with multi vector representations : 15m; Video with Code Example; provider outline item · Source
- MUVERA Embeddings : 18m; Video with Code Example; provider outline item · Source
- Building multi-modal RAG with ColPali : 11m; Video with Code Example; provider outline item · Source
- Conclusion : 1m; Video; provider outline item · Source
- Optional: Hands-On Project : 10m; Code Example; provider outline item · Source
- Quiz : 10m; Graded; provider outline item · Source
What the credential is
- Credential type
- DeepLearning.AI Accomplishment · www.deeplearning.ai / multi-vector-image-retrieval
- 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 / multi-vector-image-retrieval
- 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 1h43m; 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. The page also states that additional quizzes and projects are included with Pro. · 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.
- Document AI: From OCR to Agentic Doc Extraction : Check official price; 3h11m listed course duration; individual activity estimates are rounded (duration checked 15 October 2026).
- AI Agent Architecture : 365 Data Science Self-Study : USD 36/month for course content, billed monthly at the regular price (price checked 9 September 2026); 2 hours (duration checked 9 September 2026).
- AI agent engineer : Check official price; 36 hours of content (provider-listed) (duration checked 3 October 2026).
Change log
- : Initial source review from the dated US capture. · Source
See price and enroll at DeepLearning.AI (official site) ↗
Official site. No commission.