The Basics of Prompt Engineering

45m 54s
English
Paid

In this course, you will master the basics of Prompt Engineering - one of the key skills in the AI era. Large language models (LLMs) can reason, write texts, summarize, generate data, and even program, but the quality of their work directly depends on the prompts you give them. Most people spend hours on endless experiments with inputs without ever understanding why the model responds in a certain way. This course addresses this problem.

In just two hours, you will:

  1. 1. Understand how LLMs process prompts (tokenization, context windows, output constraints).
  2. 2. Learn how to create effective prompts using a clear structure (task, details, tone, format, context).
  3. 3. Know when to use classic models and when to opt for reasoning models, based on task complexity.
  4. 4. Discover how to reduce "hallucinations" and improve result stability using examples and formalized techniques.
  5. 5. See actual demonstrations of prompts and compare their performance across different models.


The course is short, concentrated, and practical: you will receive ready-made prompt templates, annotated examples, and scenarios for application in real projects—from writing resumes and generating structured data to integrating LLM into products. The course is led by Nick, a senior QA engineer and technical project manager, who previously worked on Alexa at Amazon. He has trained thousands of students and advised teams on integrating AI into workflows—from APIs to internal tools.

About the Author: newline (ex fullstack.io)

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Newline is an educational platform for developers, focused on future technical leaders.

  1. Offers a variety of courses on front-end, back-end, modern languages and technologies, including Rust, GraphQL, and fields related to artificial intelligence.
  2. The newline Pro subscription provides access to dozens of courses, video lessons, interactive projects, source code, and a private community.
  3. The free plan includes basic videos, a materials library, and the opportunity to engage with the community.
  4. A special emphasis is placed on the community: assistance in projects, finding co-authors, and sharing experiences with other students and instructors.

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#1: Basics of Prompt Engineering: Introduction
All Course Lessons (9)
#Lesson TitleDurationAccess
1
Basics of Prompt Engineering: Introduction Demo
03:21
2
What is Prompt Engineering
01:21
3
Key LLM Concepts
04:39
4
Basic Tips
02:50
5
Traditional vs Reasoning Models
02:11
6
Anatomy of a Prompt
11:29
7
Traditional Model Example
11:32
8
Prompting Reasoning Models
04:40
9
Reasoning Model Example
03:51
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