Large Language Models for Product Builders
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.
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...
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22 Lessons
$200.00