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Lessons > Understanding LLMs

Understanding LLMs

Course Content
Day 1
0/4
Introduction to Prompt Engineering
00:15:00
Understanding LLMs
00:15:00
Anatomy of a Good Prompt
00:15:00
Hands-on: Prompt Basics in Action
00:15:00
Day 2
0/4
Prompting for Code Generation & Refactoring
00:15:00
Role-based Prompting
00:15:00
Formatting & Output Control
00:15:00
Hands-on: Build a Code Assistant Prompt
00:15:00
Day 3
0/4
Few-shot & Zero-shot Prompting
00:15:00
Chain-of-Thought Prompting
00:15:00
LLM Hallucinations & Mitigation
00:15:00
Hands-on: Prompt Debugging & Refinement
00:15:00
Day 4
0/4
Prompt Templates & Automation
00:15:00
Integrating Prompts into Dev Workflows
00:15:00
Working with APIs & Tools
00:15:00
Hands-on: Automate a Repetitive Dev Task
00:15:00
Day 5
0/4
Advanced Prompt Techniques
00:15:00
Best Practices & Prompt Testing
00:15:00
Building Your Prompt Library
00:15:00
Project: Dev Tool with Prompt Power
00:15:00
Prompt Engineering for Software Developers

 Explore how large language models like GPT-4, Claude, and Mistral work — covering tokenization, context windows, and model limits.

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