Program profile · official sources
Build Conversational AI Memory with LangGraph
A practical LangGraph course for developers who want conversations to retain useful state beyond a single exchange.
Commercial disclosure: Academies.ai has an affiliate agreement with 365 Data Science. If you enroll through links on this page we may earn a commission at no extra cost to you. This does not affect our assessment; rankings cannot be purchased.
Who it is for
Developers moving beyond simple conversational call-and-response are the stated audience.
Who should skip it
Build intermediate Python skills first, and choose another route if you cannot provide the required OpenAI API key.
Facts checked 7 Oct 2026
- Price
- 365 Data Science Self-Study · USD 36/month for course content, billed monthly at the regular price365 Data Science Self-Study · USD 36/month for course content, billed monthly at the regular price. (seeUSD price displayed on the official English pricing page, checked 9 September 2026; regional checkout pricing and taxes are not established. ·
- Provider link
See price and enroll at 365 Data Science (official site) ↗
We may earn a commission. It does not change our facts.
- Time
- 2 hours
Listed content hours, not completion time. Official course-page advertised content duration, not total completion time; the 365 course catalog also showed 2 hours of content on 3 October 2026.
- Level
- Advanced
- Credential
- Course certificate
- Format
- Online self-paced course
- 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
What you actually do
You examine graph components, message management and thread-level persistence after setting up the development environment. The page lists 21 lessons, three exercises, one project and two exams. The focus on conversational memory makes this a way to investigate how a chatbot uses information across interactions, with LangGraph and LangChain in the required setup.
Before enrolling, identify the memory behaviour you want to understand. Is your question about information within a conversation, information across separate conversations, or the place where that information is stored? Use those questions to assess the fit of the course rather than treating memory as one interchangeable feature. They are a way to choose your learning goal, not a claim that every possible memory design is included. Consider how you would recognise a successful result in a conversation: which earlier information should still matter, and which information should not be carried into the next task? Asking that before choosing a course gives you a more precise learning objective. It does not require inventing a production specification, but it can help you separate an interest in conversational behaviour from a need to learn the framework and development tools themselves. Compare the kind of conversation you want to support with the memory question you want to study. A more precise goal is useful when two courses both mention memory but approach it through different tools or application contexts.
Before you start
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.
Curriculum
For LangGraph memory, the combined project-and-exam listing cannot be treated as exam-only time. Shares below use each entry's minutes over the sum of listed minutes, rounded to one decimal; the advertised instructional headline is a separate measure.
| Entry | Subject | Listed time | Share | Role | Observed |
|---|---|---|---|---|---|
| 1 | Introduction To The Course | 8 min | 3.2% | 2026-09-09 | |
| 2 | Setting Up The Environment | 5 min | 2.0% | 2026-09-09 | |
| 3 | Graph Components And Implementation | 29 min | 11.6% | 2026-09-09 | |
| 4 | Message Management | 28 min | 11.2% | 2026-09-09 | |
| 5 | Thread-Level Persistence | 16 min | 6.4% | 2026-09-09 | |
| 6 | Conclusion | 3 min | 1.2% | 2026-09-09 | |
| 7 | Course Project And Exam | 160 min | 64.3% | Provider-listed exam or combined project/exam section; duration kept separate from advertised content hours. | 2026-09-09 |
Allocation denominator: 249.0 summed minutes; each displayed share = entry minutes / 249.0 × 100, rounded to one decimal.
US price
| Purchase information | Recorded terms |
|---|---|
| Access and billing | As observed in the United States on 2026-09-09, USD 36 buys one month of Self-Study access at the regular monthly price. This is not a fixed completion total; third-party usage may cost extra. |
| Refund and retakes | Refund and retake terms are not established in these stored policy fields. |
Alternatives
The alternatives help distinguish different memory-learning contexts. Look at their entry conditions and assessments before deciding that similar terminology means equivalent scope. A narrow course can be useful when you already know the rest of your application workflow; a different starting point may be needed if you are still learning how agents and conversations are structured.
Long-Term Agentic Memory With LangGraph
| Provider and format | Level | Workload | Award | US price observation |
|---|---|---|---|---|
| DeepLearning.AI · Online self-paced learning with video lessons and listed activities | Intermediate | 1h24m listed course duration | DeepLearning.AI Accomplishment | Currency not specified 0. As shown in the United States on 16 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. |
| Entry and assessment questions | Recorded answer |
|---|---|
| Who is it aimed at? | AI developers adding long-term memory to agent workflows. |
| What preparation is required? | Python familiarity and a basic understanding of LLM prompting and application development are 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. |
| How is the award earned? | The outline lists 1 graded assignment. A separate comprehensive final examination and passing threshold are not stated. |
| What remains unconfirmed? | As checked on 16 October 2026, the captured programme page does not establish academic credit, a separate final exam, expiry or renewal. |
Official source · 2026-10-16 | Official source · 2026-10-16 | Official source · 2026-10-16
Building AI Assistants with On-Device Memory
| Provider and format | Level | Workload | Award | US price observation |
|---|---|---|---|---|
| DeepLearning.AI · Online self-paced learning with video lessons and listed activities | Intermediate | 1h4m listed course duration | DeepLearning.AI Accomplishment | Currency not specified 0. As shown in the United States on 15 October 2026, the provider help page states Short Courses are free; Accomplishments require a Pro subscription. 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. |
| Entry and assessment questions | Recorded answer |
|---|---|
| Who is it aimed at? | AI builders who want offline applications that keep user data on the device. |
| What preparation is required? | Familiarity with Python is recommended. The page says no specialized hardware is required and describes Mac, Windows and Linux use. |
| How is the award earned? | A graded quiz is listed, but a passing threshold and separate final examination are not stated. |
| What remains unconfirmed? | As checked on 15 October 2026, the captured programme page does not establish academic credit, a separate final exam, expiry or renewal. |
Official source · 2026-10-15 | Official source · 2026-10-15 | Official source · 2026-10-15
Questions before enrolling
What do I need to pass for the LangGraph certificate?
The award is Course certificate, issued by 365 Data Science. Provider curriculum includes course exam; exact pass requirements not captured.
Change log
- : Registry admission from previously reviewed official evidence; individual fact dates are preserved. · Source