LLM App Engineering

Build production-grade LLM apps: prompting, RAG, tools, evaluation. Master the art of creating scalable AI applications with large language models.

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LLM App Engineering

Build production-grade LLM apps: prompting, RAG, tools, evaluation. Master the art of creating scalable AI applications with large language models.

4.1(67 reviews)
134 students
Last updated 2024-01-20
Alex Rodriguez

Alex Rodriguez

Senior AI Engineer

0:00 / 0:00
LLM App Engineering - Preview

What you'll learn

Master advanced prompting techniques
Build RAG (Retrieval-Augmented Generation) systems
Integrate LLMs with external tools and APIs
Implement proper evaluation and testing
Deploy LLM applications to production

Course content

3 sections • 59 minutes
1
Prompting Foundations

System prompts, roles, few-shot, and structured outputs.

16 min
2
Retrieval-Augmented Generation

Ground LLMs with your data: chunking, embeddings, and retrieval.

24 min
3
Evaluation and Guardrails

Measure quality and add safety: test sets, heuristics, and LLM judges.

19 min

Requirements

  • Python programming experience
  • Basic understanding of APIs
  • Familiarity with machine learning concepts
  • Access to OpenAI API (free tier sufficient)

About this course

This course focuses on practical implementation of LLM applications. You'll build real projects including a chatbot, document Q&A system, and a code generation tool. All projects use industry-standard tools and practices.

Resources

LLM Engineering Handbook

pdf

Project Templates

download

API Integration Guide

link

$199$299
33% OFF

One-time payment • Lifetime access

Start Learning
5 hours of video content
20 downloadable resources
Certificate of completion
Lifetime access
Source code included
1-on-1 Q&A sessions
30-day guarantee

Full refund if you're not satisfied

Course Info

English
59 hours total
3 lessons
Certificate of completion