Description
Unlock the potential of prompt engineering for LLM apps with this comprehensive course. Learn to ship production-grade LLM features confidently, focusing on evals, cost control, and safety guardrails.
Features
- Prompt Design Patterns — Understand various prompt design patterns like few-shot and chain-of-thought.
- Structured Outputs — Learn to implement structured outputs for reliable and parseable LLM responses.
- Retrieval Systems (RAG) — Build effective retrieval systems that enhance LLM performance.
- Evals and Regression Testing — Create evaluation frameworks to ensure prompt quality and model stability.
- Cost and Latency Optimization — Manage and optimize token costs and latency in production environments.
- Safety and Monitoring — Implement safety measures and monitoring systems for production LLM features.
How it works
- Enroll in the course and access the modules.
- Complete lessons on prompt engineering and safety.
- Engage in hands-on labs and practical projects.
- Build and ship a complete LLM feature as a capstone project.
- Receive a certificate upon successful completion.
Requirements
- A current WordPress install
Installation
- Purchase the course through the website.
- Create an account on the learning platform.
- Access course materials and start learning.
Frequently asked questions
What is the target audience for this course?
This course is designed for backend and full-stack engineers familiar with LLM APIs.
What will I learn in this course?
You will learn prompt design, retrieval systems, evals, cost control, and safety measures.
Is there a capstone project?
Yes, you will build and ship a complete LLM feature as part of the course.
How long do I have access to the course?
You will have lifetime access to the course materials.
Will I receive a certificate upon completion?
Yes, a certificate will be provided after successfully completing the course.
Support & documentation
- Support: contact@cryptoliveleak.com
Reviews
There are no reviews yet.