AI Luminaries
A curated collection of videos featuring top experts in artificial intelligence.
Overview
Build conversational applications in Go that answer questions using your documents. Learn to process files, retrieve relevant context, manage chat history, and create retrieval-augmented generation systems with LangChain.
What you'll learn
- Build conversational AI applications with LangChain and Go
- Configure language models and tailor generated responses
- Manage message history and conversational memory
- Load, split, and embed documents for semantic search
- Retrieve relevant document content using similarity search
- Combine retrieved context with prompt templates to answer questions
- Integrate chat, retrieval, and document processing into a complete RAG system
Advantages and disadvantages
Advantages
- University courses you can audit for free, with lectures, readings and practice quizzes.
- A verified certificate from the university if you pay for it.
- Self-paced: start any time.
Disadvantages
- Graded assignments and the certificate need the paid track.
- Audit access can expire a few weeks after the course ends.
- Learning is free, but the certificate costs money.
- Some parts (graded work, certificate) are paid.
Some points apply to every course of this kind; see how we rank.
Free to audit
- Free: Choose "Audit this course" when you enrol: lectures, readings and practice are free.
- Paid: Graded assignments and the verified certificate (Certificate $55). Audit access may end after the course closes.
Before you start
Beginner: AI and Machine Learning Fundamentals (Go, LangChain, OpenAI) Beginner: RAG Systems and Vector Databases (Go, LangChain, OpenAI)
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