Practical introduction to GenAI, LLMs and Prompt Engineering
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Skill Path

Practical introduction to GenAI, LLMs and Prompt Engineering

Basic2h 12min3 chapters3 simulationsLast updated 08/2025
This path is perfect for non-technical professionals that want to spend up to 2 hours total learning what GenAI is, how LLMs work and get their hands dirty testing their current ability to use AI and prompt engineering to solve real tasks like summarizing emails and automate business reports
Skill objectives
Chapter 01
Understanding AI Building Blocks and Terminology
This chapter outlines three essential steps for mastering AI fundamentals: beginning with key AI terminology, then exploring generative AI capabilities and applications, and finally delving into large language models (LLMs) that power modern AI tools for business communication and content creation.
Chapter 02
Basic exercises of prompt engineering
This chapter focus on three key business skills: transforming vague sales prompts into clear requests, crafting effective customer emails, and refining AI-generated business reports. These practical exercises help professionals leverage AI tools to enhance their communication and analytical capabilities in workplace settings.
Skills: Prompt Engineering, Clear Messaging
Chapter 03
Assess your skills
The simulation aims to validate your ability to refine an LLM prompt into a tool that generates a clear, customized, and actionable client proposal. Success will demonstrate proficiency in Prompt Engineering and Clear Messaging.
Skills: Prompt Engineering, Clear Messaging