Interested in a hands-on learning experience for developing LLM applications?
Join our LLM Bootcamp today!

HomePrompt Engineering for Everyone

Prompt Engineering for Everyone

A course by
February, 2025 80 lessons English

Prompt Engineering for Everyone is designed to provide you with a comprehensive understanding of how to effectively interact with large language models (LLMs) by crafting well-structured prompts. Through an exploration of key concepts such as transformer architecture, attention mechanism, and prompt modifiers, this course equips learners with hands-on skills for improving LLM outputs across a variety of applications like text summarization, information extraction, and code generation. You will also explore advanced techniques such as chain-of-thought prompting, self-consistency, and contrastive CoT, ensuring you can optimize LLM performance in practical settings. By the end of the course, you’ll be well-prepared to use LLMs in diverse business, creative, and technical contexts.

What you'll learn

  • Understand the basics of LLMs and prompt engineering.
  • Explore LLM parameters and prompt structure for better results.
  • Use prompt modifiers for different formats, tones, and styles.
  • Learn zero-shot, one-shot, and few-shot prompting techniques.
  • Perform hands-on tasks like summarization, classification, and chatbots.
  • Master advanced techniques like Chain-of-Thought and ExpertPrompt.
  • Address risks and challenges of LLMs in enterprise environments.
  • Practice prompt tuning and manage interpretability risks.

Courses you might be interested in

Access the full recordings from the 5-day LLM Bootcamp to catch up on missed content or revisit critical discussions. These recordings allow you to review key concepts and techniques at...
  • 24 Lessons
$100.00
This module will equip you with the foundational programming knowledge and theory needed to excel in the bootcamp. By covering essential Python concepts and tools, we aim to ensure a...
  • 13 Lessons
$100.00
In this module, you will explore the world of large language models (LLMs), including their components, how they process information, and the challenges of adopting them in enterprise settings. You...
  • 7 Lessons
$100.00
In this module, you will explore key concepts of transformer architecture, embeddings, attention mechanisms, and tokenization. You’ll gain a deeper understanding of semantic similarity and how it is calculated using...
  • 5 Lessons
$100.00