Module 1: Introduction and Basics

- Define prompt engineering and its importance.

- Discuss its significance in AI applications.

- Explore historical development and key milestones in prompt engineering.

- Understand the basics of generative AI and its functions.

- Explore different types of generative models (e.g., GPT, BERT).

Module 2: Components of a Good Prompt

- Understand key elements of an effective prompt: clarity, context, and specificity.

- Analyze examples of well-constructed prompts.

- Learn how to write clear and concise instructions for prompts.

- Practice with examples to improve clarity.

- Discuss the importance of user perspective in writing instructions.

Module 3: Providing Relevant Context

- Understand why context is crucial for prompt performance.

- Practice adding relevant context to prompts.

- Explore techniques for providing minimal yet sufficient context.

- Learn how to design inputs and expected outputs for prompts.

- Practice matching inputs and outputs with examples.

Module 4: Iterative Design and Testing

- Understand the iterative process: creating, testing, and refining prompts.

- Learn techniques for prompt iteration.

- Explore tools and methodologies for tracking prompt iterations.

- Discuss case studies of successful iterative prompt design.

- Explore quantitative and qualitative metrics for prompt evaluation.

Module 5: Enhancing and Avoiding Pitfalls

- Explore case studies showcasing the impact of specificity on outcomes.

- Learn techniques to avoid ambiguity in prompts.

- Practice refining prompts to eliminate ambiguity.

- Learn strategies to enhance prompt accuracy.

- Learn about industry standards and benchmarks for effective prompts.

Module 6: Ethics and Advanced Techniques

- Discuss ethical issues in prompt engineering.

- Learn to identify and mitigate biases in prompts.

- Explore advanced techniques such as few-shot and zero-shot prompting.

- Practice using these techniques in prompt design.

- Explore the integration of advanced techniques into real-world applications.