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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Generative AI• intermediate
Course overview
3 lessons
59 min of lessons
Last updated 2024-01-20
W
Webnetis training team
Course trainers
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 lessons • 59 min
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.
$199$299
33% OFF
One-time payment
Certificate of completion
Source code included
1-on-1 Q&A sessions
30-day refund guarantee
Full refund within 30 days if you're not satisfied
Course Info
English
59 min total
3 lessons
Certificate of completion