Description:
Prompt Engineering is the practice of designing and refining prompts to effectively interact with AI models, such as large language models like GPT. The goal is to optimize the way you communicate with AI in order to achieve more accurate, relevant, and useful outputs. Prompt engineering is a critical skill for anyone looking to get the most out of generative AI tools for tasks like content creation, problem-solving, code generation, or data analysis.
Here are some key aspects of prompt engineering:
Course Curriculum
Prompt Engineering
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- Introduction (0:41)
- Module - 1 Introduction to Prompt Engineering (2:34)
- Exercise 1: Basic Prompt Creation
- Exercise 2: Context Enhancement
- Module - 2 Key Principles for crafting Effective Prompts (3:36)
- Exercise 3: Zero-shot vs. Few-shot Prompting
- Exercise 4: Chain-of-Thought Prompting
- Module - 3 Techniques for Different Use Cases (3:09)
- Exercise 5: Improving Outputs
- Exercise 6: Reducing Ambiguity
- Module - 4 Optimizing Prompts for Better Results (11:17)
- Exercise 7: Perspective Prompting
- Exercise 8: Using Tabular Formatting
- Module - 5 Real World Applications (6:44)
- Final Challenge: Comprehensive Application - Exercise 9: Multi-Step Prompt Creation
- Exercise 10: Creative Prompt Design
- Start Quiz
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