AI & Machine Learning
Building LLM Applications With Prompt Engineering
Turn prompts into working applications.
1 dayIntermediate1 modules
About this course
Turn prompts into working applications. You will apply iterative prompt engineering, compose workflows with LangChain Expression Language, runnables and chains, and write code that uses LLMs for generative tasks, document analysis and chatbots.
What you'll learn
- Understand how to apply iterative prompt engineering best practices to create LLM-based applications for various language-related tasks.
- Be proficient in using LangChain to organize and compose LLM workflows.
- Write application code to harness LLMs for generative tasks, document analysis, chatbot applications, and more.
Curriculum
1 modules
- Course Introduction
- Introduction to Prompting
- LangChain Expression Language (LCEL), Runnables, and Chains
- Prompting with Messages
- Structured Output
- Tool Use and Agents
- Assessment and Final Review
Who it's for
Developers with Python skills who want to build on large language models.
Before you start
- Intermediate experience using Python and an understanding of LLM fundamentals
Part of these Alalamia diplomas
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