Program profile · official sources

Agentic Knowledge Graph Construction

DeepLearning.AI and Neo4j teach collaborative agents that plan knowledge-graph construction. Using Google ADK, learners identify a user’s goal, suggest files, and propose schemas for structured data and unstructured text. They build and connect graphs from product, supplier and review data. Python familiarity is required; Cypher is optional. The course includes code examples and a graded quiz.

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) ↗

Official site. No commission.

Time
3h8m listed course duration
Level
Intermediate
Credential
DeepLearning.AI Accomplishment

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

Prerequisites
Python familiarity is required. Basic Cypher knowledge can help but is not required. 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

  • Introduction
  • What is a Knowledge Graph?
  • Architecture of the Multi-Agent System
  • Introduction to Google's ADK - Part I
  • Introduction to Google's ADK - Part II
  • Understanding User Intent
  • File Suggestions
  • Schema Proposal for Structured Data
  • Schema Proposal for UnStructured Data
  • Knowledge Graph Construction - Part I
  • Knowledge Graph Construction - Part II
  • Conclusion
  • Quiz

Prerequisites: Python familiarity is required. Basic Cypher knowledge can help but is not required. 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

  • Introduction : 3m; Video; provider outline item · Source
  • What is a Knowledge Graph? : 10m; Video; provider outline item · Source
  • Architecture of the Multi-Agent System : 9m; Video; provider outline item · Source
  • Introduction to Google's ADK - Part I : 22m; Video with Code Example; provider outline item · Source
  • Introduction to Google's ADK - Part II : 20m; Video with Code Example; provider outline item · Source
  • Understanding User Intent : 17m; Video with Code Example; provider outline item · Source
  • File Suggestions : 12m; Video with Code Example; provider outline item · Source
  • Schema Proposal for Structured Data : 29m; Video with Code Example; provider outline item · Source
  • Schema Proposal for UnStructured Data : 16m; Video with Code Example; provider outline item · Source
  • Knowledge Graph Construction - Part I : 13m; Video with Code Example; provider outline item · Source
  • Knowledge Graph Construction - Part II : 33m; Video with Code Example; provider outline item · Source
  • Conclusion : 1m; Video; provider outline item · Source
  • Quiz : 10m; Graded; provider outline item · Source

What the credential is

Credential type
DeepLearning.AI Accomplishment · www.deeplearning.ai / agentic-knowledge-graph-construction
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 / agentic-knowledge-graph-construction
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 3h8m; 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.

  • Build AI Apps with MCP Server: Working with Box Files : 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.); 36m listed course duration (duration checked 15 October 2026).
  • Building Live Voice Agents with Google’s ADK : 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.); 1h25m listed course duration (duration checked 15 October 2026).
  • 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).

Change log

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