Course Outline

• Introduction to Prompt Engineering: Setup and basics, understanding language models, and tools for prompt engineering.
• Core Concepts of Prompt Engineering: Exploring prompt types, structure, and applications across different AI models.
• Advanced Prompt Design: Techniques for crafting effective prompts, including chaining thoughts and iterative refinement.
• Practical Applications and Case Studies: Hands-on examples of how prompts can enhance tasks like data extraction, sentiment analysis, and more.
• Prompt Optimization and Troubleshooting: Strategies to refine prompts, evaluate effectiveness, and troubleshoot common issues.
• Innovative Prompting Techniques: Explore cutting-edge prompting strategies such as zero-shot and few-shot learning.
• Project Development: Building a project to apply prompt engineering skills in a real-world scenario.
• Specialized Topics in Prompt Engineering: Delve into advanced topics like bias mitigation, ethical considerations, and model-specific prompting nuances.
• Integration and Deployment: Techniques to integrate and deploy effective prompts in production environments.
• Capstone Project: Construct a comprehensive project that utilizes advanced prompt engineering techniques to solve complex problems.