Track 1: AI FoundationsBeginner LevelSkill 1 of 3

Prompt Engineering

Master the art of communicating with AI systems to achieve precise, reliable, and creative outputs. Learn proven frameworks and techniques used by AI professionals worldwide.

3 Weeks Duration
10-12 hours/week
3 Hands-on Projects

Prerequisites

Technical Requirements
  • Basic computer literacy (navigate websites, use email, manage files)
  • Reliable internet connection for cloud-based AI tools
  • Modern web browser (Chrome, Firefox, Safari, or Edge)
  • No programming experience required
  • No prior AI knowledge required
Personal Requirements
  • Commitment to 10-12 hours per week of study and practice
  • English language proficiency at intermediate level (B1 or above)
  • Curiosity about AI and willingness to experiment
  • Access to a computer (Windows, Mac, or Linux)

Learning Outcomes

Upon successful completion of this course, you will be able to:

1

Understand the fundamental principles of how large language models process and respond to prompts

2

Craft effective prompts using proven frameworks (CLEAR, RISEN, RTF)

3

Apply prompt engineering techniques including zero-shot, few-shot, and chain-of-thought prompting

4

Debug and refine prompts to achieve desired outputs

5

Recognize and mitigate common prompt engineering pitfalls and AI hallucinations

6

Design prompt templates for recurring tasks and workflows

Content Outline

Week 1: AI Landscape & Fundamentals
Week 1
  • Understanding what AI is and isn't: Demystifying common misconceptions
  • Overview of generative AI: Large language models, image generators, and beyond
  • The AI tool ecosystem: Categorizing tools by function and use case
  • Setting up accounts: ChatGPT, Claude, Gemini, and essential free tools
  • First interactions: Basic conversations with AI chatbots
  • Project: Create an AI tools inventory for your field or industry
Week 2: Prompt Engineering Basics
Week 2
  • The anatomy of an effective prompt: Components and structure
  • Prompt engineering frameworks: CLEAR (Context, Length, Examples, Audience, Role)
  • Crafting clear instructions: Specificity, context, and constraints
  • Using examples to guide AI behavior: Few-shot prompting techniques
  • Iterative refinement: How to improve prompts based on outputs
  • Project: Build a personal prompt library for common tasks
Week 3: Advanced Prompting Techniques
Week 3
  • Chain-of-thought prompting: Breaking complex tasks into steps
  • Role-playing and persona prompts: Leveraging AI expertise
  • System prompts and custom instructions: Persistent AI behavior
  • Handling AI limitations: Recognizing and working around hallucinations
  • Prompt security: Avoiding prompt injection and data leaks
  • Project: Design a multi-step prompt workflow for a complex task

Ready to Master Prompt Engineering?

Join the I-Gamify AI Academy and start your journey to becoming an AI professional. This course is part of Track 1: AI Foundations.