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Build Chat Applications with OpenAI and LangChain

365 Data Science's 'Build Chat Applications with OpenAI and LangChain' is an advanced online course taught by Hristina Hristova, Head of Data Content. Featuring a headline duration of seven hours, the curriculum trains students to construct context-aware chatbots using OpenAI language models and the LangChain framework. Key modules cover token economics, prompt templates, output parsers, and the LangChain Expression Language (LCEL) using Runnable sequences. Learners build a full Retrieval Augmented Generation (RAG) system with Chroma vector stores and complete a hands-on Q&A chatbot project. Offering 8 CPE credits, earning the verifiable course certificate requires passing the course exam; general certificate terms specify at least 60%. Intermediate Python proficiency and an OpenAI API key are required.

Facts checked 27 Sep 2026

Price
See pricing

Price observation recorded 27 Sep 2026 (not a current price): No total course price is stated. The platform-wide Self-Study plan displays a regular comparison price of $36/month, an observed $12.50/month billed annually offer, and an FAQ mentions a $29/month rate, as observed in United States captures dated 2026-09-27. ISO currency and a separately monthly-billed amount were not established; these subscription rates are not treated as a source-checked completion total. The course requires an OpenAI API key; usage fees and included credits are not quantified. Certificates are included with the Self-study learning plan.

Time
Provider headline: 7 hours; page separately lists lessons
(4 hours), practice exams (3 hours), and projects (8 hours). These are source categories, not an inferred total completion time.
Level
Advanced
Credential
Provider-issued certification

Verifiable credential with Credential ID and Credential Link; sharable on LinkedIn/resumes; downloadable upon passing. Certificates are included with the Self-study learning plan.

Prerequisites
Python (version 3.8 or later), OpenAI API key, LangChain library, and a code editor or IDE (e.g., VS Code or Jupyter Notebook) Intermediate Python skills are required. Basic concepts in natural language processing (NLP) is helpful but not mandatory.

Commercial status: no commercial relationship is documented for this page. The verification link goes directly to the official provider source.

Duration
Provider headline: 7 hourspage separately lists lessons (4 hours), practice exams (3 hours), and projects (8 hours). These are source categories, not an inferred total completion time.
Level
Advanced
Format
100% online, self-paced course
Credential
Provider-issued certification
Prerequisites
Python (version 3.8 or later), OpenAI API key, LangChain library, and a code editor or IDE (e.g., VS Code or Jupyter Notebook) Intermediate Python skills are required. Basic concepts in natural language processing (NLP) is helpful but not mandatory.
Facts checked 27 September 2026 against 365 Data Science’s official page ·
Sources ↗
· Next check October 2026

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 to the Course
  • Tokens, Models, and Prices
  • Setting Up the Environment
  • The OpenAI API
  • Model Inputs
  • Output Parsers
  • LangChain Expression Language (LCEL)
  • Retrieval Augmented Generation (RAG)
  • Course project and exam

Prerequisites: Python (version 3.8 or later), OpenAI API key, LangChain library, and a code editor or IDE (e.g., VS Code or Jupyter Notebook) Intermediate Python skills are required. Basic concepts in natural language processing (NLP) is helpful but not mandatory.

Explore 365 Data Science

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What you actually do

  • Introduction to the Course · 21 min; Section 1 · Source
  • Tokens, Models, and Prices · 9 min; Section 2 · Source
  • Setting Up the Environment · 13 min; Section 3 · Source
  • The OpenAI API · 17 min; Section 4 · Source
  • Model Inputs · 38 min; Section 5 · Source
  • Output Parsers · 8 min; Section 6 · Source
  • LangChain Expression Language (LCEL) · 52 min; Section 7 · Source
  • Retrieval Augmented Generation (RAG) · 86 min; Section 8 · Source
  • Course project and exam · 570 min; Section 9 · Source

What the credential is

Credential type
Provider-issued certification · 365datascience.com / build-chat-applications-with-openai-and-langchain
Credential
Course Certificate · 365datascience.com / certificates
Issuer
365 Data Science · 365datascience.com / certificates
Sharing
Verifiable credential with Credential ID and Credential Link; sharable on LinkedIn/resumes; downloadable upon passing. Certificates are included with the Self-study learning plan. · 365datascience.com / certificates
Exam requirement
Pass the course exam; general certificate terms state 60% or above. Certificates are included with the Self-study learning plan. · 365datascience.com / certificates
Credential expires
provider does not state · 365datascience.com / build-chat-applications-with-openai-and-langchain
Renewal
provider does not state · 365datascience.com / build-chat-applications-with-openai-and-langchain

Who should skip it

  • Check the course-specific preparation before enrolling: Python (version 3.8 or later), OpenAI API key, LangChain library, and a code editor or IDE (e.g., VS Code or Jupyter Notebook) Intermediate Python skills are required. Basic concepts in natural language processing (NLP) is helpful but not mandatory. · Official source · 2026-09-27

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Related by topic or level.

Change log

  • : Initial recorded review of official program details. · Source

Cost details

The course requires an OpenAI API key and local Python virtual environment. Associated OpenAI API usage fees and total completion prices are not quantified by the provider.

Official source · 2026-09-27

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