This course is designed for individuals with no prior experience in prompt engineering or AI models. It focuses on the core concepts and basic techniques to consistently generate useful and accurate outputs from Large Language Models (LLMs) like ChatGPT or Gemini.
Curriculum
- 4 Sections
- 4 Lessons
- 6 Hours
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- Module 1: AI & Prompting Basics- Introduction to Prompt Engineering 1.1 What is Generative AI & LLMs? 1.2 What is a Prompt? Components of a Good Prompt 1.3 The Role of a Prompt Engineer 1.4 Practical Exercise1
- Module 2: Core Prompting Strategies- Crafting Effective Prompts 2.1 Clear Instructions: Action Verbs and Specificity 2.2 Persona Pattern: Assigning a Role to the AI 2.3 Delimiter Usage for Clarity 2.4 Output Formatting: Specifying Structure 2.5 Practical Exercise1
- Module 3: Iteration & Refinement- Getting the Output You Need 3.1 Iterative Prompting: The Loop 3.2 Refining with Constraints 3.3 Troubleshooting Common Issues 3.4 Hands-on Lab: Business Use Cases 3.5 Practical Exercise1
- Module 4: Foundational Techniques- Basic In-Context Learning & Safety 4.1 Zero-Shot Prompting 4.2 Few-Shot Prompting 4.3 Ethical AI & Safety Basics 4.4 Practical Exercise1
Target audiences
- students
- housewife
- beginners
- new to AI
- basics of prompt engineering