Getting Started on Prompt Engineering with Generative AI

Übersicht

AI responses can be hit or miss. Sometimes they’re helpful, sometimes vague, and sometimes completely off.

The key to getting better results is writing better prompts. In this course, Getting Started on Prompt Engineering with Generative AI, you’ll learn to craft clear, structured prompts that guide AI to give you high-quality, relevant responses.

First, you’ll explore how AI processes language and why prompts matter. Next, you’ll discover how to structure and refine prompts for different tasks, using techniques like few-shot and chain-of-thought prompting.

Finally, you’ll learn how to evaluate AI responses for accuracy, coherence, and bias, and how to tweak prompts to improve them. When you’re finished with this course, you’ll have the skills and knowledge of prompt engineering needed to use AI effectively for content creation, automation, problem-solving, and more.

Lehrplan

• Introduction to Prompt Engineering
Definition and Importance of Prompt Engineering
Overview of Generative AI and Language Processing
• Understanding How AI Processes Language
Language Models and Their Architecture
The Role of Prompts in AI Responses
Common Challenges in AI-Prompt Interactions
• Crafting Effective Prompts
Components of a Clear and Structured Prompt
Common Prompting Techniques
Avoiding Ambiguity and Vagueness
• Techniques for Advanced Prompting
Few-shot Prompting
Chain-of-thought Prompting
Task-specific Prompt Structuring
• Evaluating AI Responses
Criteria for Evaluating Accuracy and Coherence
Identifying and Addressing AI Bias
Iterating and Refining Prompts for Better Outcomes
• Practical Applications of Prompt Engineering
Content Creation
Automation and Workflow Enhancement
Problem-solving with AI
• Final Project
Designing and Testing Prompts for a Specific Use-case
Analyzing and Presenting Results
• Conclusion and Next Steps
Recap of Key Learning Points
Further Resources and Learning Opportunities

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Unterrichtet von

Amber Israelsen

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Fachgebiete

Computer Science