Program profile · official sources
Build Conversational AI Memory with LangGraph
365 Data Science offers the advanced online self-paced course "Build Conversational AI Memory with LangGraph." Access requires a Self-Study subscription for USD 36 per month regular; third-party API usage may cost extra. The curriculum provides two advertised hours of instructional content across six subject modules, starting with an introduction and environment setup before covering graph components, message management, and thread-level persistence. Learners finish with a combined course project and exam section listed at 160 minutes. The program features 21 lessons, three exercises, one project, and two exams. Intermediate Python skills are required, and LangChain familiarity is recommended.
Facts checked 9 Sep 2026
- Price
- 365 Data Science Self-Study — USD 36/month for course content, billed monthly at the regular price
- Time
- 2 hours
Listed content hours, not completion time. Official course-page advertised content duration, not total completion time; catalog separately also2hours.
- Level
- Advanced
- Credential
- Course certificate
- Prerequisites
- Python (version 3.8 or later), LangGraph and LangChain libraries, OpenAI API key, and a code editor or IDE (e.g., VS Code or Jupyter Notebook); Intermediate Python skills are required. Familiarity with LangChain and basic concepts in AI agents or conversational systems is recommended.
Commercial status: no commercial relationship is documented for this page. The verification link goes directly to the official provider source.
- Price
- 365 Data Science Self-Study — USD 36/month for course content, billed monthly at the regular price. (see provider page)
USD price displayed on the official English pricing page, checked 9 September 2026; regional checkout pricing and taxes are not established. · Official pricing - Duration
- 2 hoursOfficial course-page advertised content duration, not total completion time; catalog separately also2hours.
- Level
- Advanced
- Format
- Online self-paced course
- Credential
- Course certificate
- Prerequisites
- Python (version 3.8 or later), LangGraph and LangChain libraries, OpenAI API key, and a code editor or IDE (e.g., VS Code or Jupyter Notebook); Intermediate Python skills are required. Familiarity with LangChain and basic concepts in AI agents or conversational systems is recommended.
Sources ↗
- Price — https://365datascience.com/pricing/
- Duration — https://365datascience.com/courses/build-conversational-ai-memory-with-langgraph/
- Official program page — https://365datascience.com/courses/build-conversational-ai-memory-with-langgraph/
- Provider subscription terms — https://365datascience.com/pricing/
Course and activity access
Individual courses are included in Self-Study; the plan provides access to certification exams and accredited certificates. Free includes course previews.. Official source
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See the full registry price landscape. Prices retain their stated payment scope; they are not comparable completion costs.
What’s covered
- Introduction To The Course
- Setting Up The Environment
- Graph Components And Implementation
- Message Management
- Thread-Level Persistence
- Conclusion
- Course Project And Exam
Prerequisites: Python (version 3.8 or later), LangGraph and LangChain libraries, OpenAI API key, and a code editor or IDE (e.g., VS Code or Jupyter Notebook); Intermediate Python skills are required. Familiarity with LangChain and basic concepts in AI agents or conversational systems is recommended.
How much does the Build Conversational AI Memory with LangGraph course cost?
Access to the Build Conversational AI Memory with LangGraph course requires a subscription to the 365 Data Science platform. The minimum plan providing access to the full curriculum is the Self-Study plan, which, as of 9 September 2026, is available for USD 36 per month when billed monthly. This price represents one month of access at the regular monthly rate, and it does not guarantee a total cost to finish the program. Third-party API usage through the required OpenAI API key may cost extra; those usage amounts are unstated.
What is the structure and duration of the course curriculum?
The online self-paced curriculum for this advanced course delivers two hours of official advertised instructional content. This content is structured across six primary modules: Introduction To The Course, Setting Up The Environment, Graph Components And Implementation, Message Management, Thread-Level Persistence, and Conclusion. Following these instructional modules, learners encounter a combined Course Project And Exam section that is scheduled for 160 minutes. Across the entire program, learners will engage with a total of 21 lessons, complete three exercises, work through one course project, and take two exams, a practice exam in the Conclusion section and a course exam in the final combined section.
What prerequisites are required before starting this LangGraph course?
Before enrolling in this advanced 365 Data Science course, learners must have intermediate Python skills and access to Python version 3.8 or later. The provider also requires an active OpenAI API key, a functional code editor or IDE such as VS Code or Jupyter Notebook, and both the LangGraph and LangChain libraries installed in the development environment. In addition to these technical requirements, the provider recommends that learners have existing familiarity with LangChain, as well as a foundational understanding of basic concepts related to artificial intelligence agents or conversational systems.
What you actually do
- Introduction To The Course — 8 min · Source
- Setting Up The Environment — 5 min · Source
- Graph Components And Implementation — 29 min · Source
- Message Management — 28 min · Source
- Thread-Level Persistence — 16 min · Source
- Conclusion — 3 min · Source
- Course Project And Exam — 160 min; Provider-listed exam or combined project/exam section; duration kept separate from advertised content hours. · Source
What the credential is
- Credential type
- Course certificate · 365datascience.com / build-conversational-ai-memory-with-langgraph
- Issuer
- 365 Data Science · 365datascience.com / build-conversational-ai-memory-with-langgraph
- Exam requirement
- Provider curriculum includes course exam; exact pass requirements not captured. · 365datascience.com / build-conversational-ai-memory-with-langgraph
Who should skip it
- Individuals who lack intermediate Python skills or cannot use Python version 3.8 or later, as these are strictly required by the provider. · Source
- Learners without an OpenAI API key or those unable to incur potential third-party API usage costs, since a key is mandatory for the coursework. · Source
- Students seeking introductory AI training, as this is an advanced course that recommends familiarity with LangChain and basic AI agent concepts. · Source
Alternatives in the registry
Related by topic or level.
- AI Agents in Practice — 365 Data Science Self-Study — USD 36/month for course content, billed monthly at the regular price; 2 hours.
- AI Agent Architecture — 365 Data Science Self-Study — USD 36/month for course content, billed monthly at the regular price; 2 hours.
- Introduction to Vector Databases with Pinecone — 365 Data Science Self-Study — USD 36/month for course content, billed monthly at the regular price; 2 hours.
Change log
- : Registry admission from previously reviewed official evidence; individual fact dates are preserved. · Source