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26 January 2026

Beginner Level Prompt Engineering

A practical entry-level course designed to help you start using AI tools effectively through prompt engineering. You’ll learn the fundamentals of AI language models, how prompts influence outputs, and how to write clear structured prompts for Q&A, text content creation, and simple data extraction. No prerequisites or programming required -ideal for anyone who wants real, usable skills from day one.

6 Sessions

Practical applications of prompting in language models 8 min
Overview of popular tools: ChatGPT, Gemini, and Copilot and where each is most useful 12 min
The role of prompting in AI: similarities and differences across models like GPT, DALL-E, and Codex 10 min
Text models (GPT) vs. image models (DALL-E, Midjourney) 10 min
Differences between generative and non-generative models and how to work with them 15 min
Principles of communicating with models: how instructions and questions shape model behavior 5 min

Setting a clear prompt goal based on the real need 10 min
Practice exercises: prompts for requesting information vs. content generation 13 min
Prompts suitable for straightforward tasks 9 min
Multi-step prompts for more complex outcomes 10 min
Conditional instructions (If… then…) and other directive patterns 8 min
Examples showing how different instructions change the output 10 min
Project: Writing a simple prompt to generate text or answer questions. 0 min

How to use simple commands and different prompt structures. 60 min
Project: Writing a prompt to create a short article or blog post. 0 min

Writing text-based questions and configuring prompts for accurate answers. 60 min
Project: Designing a prompt for a simple Q&A section on a website/app. 0 min

Prompt techniques for producing content (articles, blog posts). 60 min
Project: Designing a prompt to write a short article and generate content automatically. 0 min

Extracting information and analyzing data with prompts 12 min
Writing questions and configuring prompts to receive accurate outputs 8 min
Processing data and generating simple reports 17 min
Identifying key points and insights from data 6 min
Using model feedback to refine and improve prompts 12 min
Iterative improvement based on results 5 min
Project: Designing a prompt to analyze simple data (extracting insights from a table). 0 min

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