Current
Intermediate
Build A Database RAG AI Assistant with OPENAI and LangChain
Udemy · Udemy · Updated March 2026
Platform rating
4.6/5
AI Tutor Rating
8.6/10
Duration
4-6 hours video
Classes
8
Learn to build advanced AI assistants using Retrieval-Augmented Generation (RAG) with OpenAI APIs and LangChain framework. Combine large language models with database systems to create intelligent applications.
What you'll get
Build RAG systems with LangChain and OpenAI
Integrate LLMs with database systems
Create intelligent AI assistants for business applications
Understand prompt engineering and LLM optimization
Fit
Best for
Developers
AI Engineers
Data Scientists
Technical Builders
Not ideal for
Learners seeking only entry-level overviews
Prerequisites & pricing
Prerequisites
Basic Python knowledge, familiarity with APIs
Pricing
Subscription
Certification
Certificate
Growth Leverage: Completing this course positions you for roles such as AI Developer, Data Analyst, or ML Engineer, where expertise in RAG systems is increasingly in demand. Certifications in AI and data integration further enhance your profile, opening doors to advanced positions in tech companies and startups focused on intelligent applications.
Skills Value: The skills learned enable you to create AI assistants that enhance decision-making and automate tasks, making you valuable in sectors like finance and healthcare. With market demand for professionals skilled in LLM integration and RAG systems, you can command salaries that are 20-30% higher than standard programming roles.
rag-systems
langchain
openai
llm-development
ai-agents