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HomeOneDigitalLarge Language Models for Product Builders

Large Language Models for Product Builders

A course by
March, 2025 23 lessons English

In this course, we will learn how to design and build LLM-powered applications tailored for product builders. We will explore key concepts like embeddings, vector databases, prompt engineering, and Retrieval-Augmented Generation (RAG) pipelines. With practical lessons and hands-on experience, you will gain the tools to overcome challenges and drive innovation with LLMs.

What You'll Learn

  • Design and implement LLM-based applications by leveraging embeddings, vector databases, and RAG pipelines.
  • Evaluate challenges in enterprise LLM adoption, including human behavior, business limitations, and technical risks.
  • Apply effective prompting techniques and optimize prompts for AI models using techniques such as few-shot and chain-of-thought-shot prompting.
  • Identify key challenges in building a RAG pipeline and develop practical solutions for each stage of the process.
  • Gain product management insights into building a headless RAG platform, including user feedback incorporation and scaling strategies.
  • Build and optimize AI agents or coworkers using Ejento to solve real-world problems effectively.

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