Crafting Advanced AI Prompts: Prompt Engineering II Course
IDTECH8020

Module 1: Review of Intermediate Techniques

• Quick refresher on role-based, iterative, and few-shot prompting.
• Decide when to use each technique for best effect.
• Hands-on: fine-tune prompts for specific outcomes.

Module 2: Advanced Prompting Strategies

• Apply Chain-of-Thought, Tree-of-Thought, and self-consistency.
• Use meta-prompting and debate/critique prompting to improve outputs.
• Introduce constraint-based and retrieval-augmented prompting.

Module 3: Advanced Demos & Practice

• Critique and improve explanations for different audiences.
• Constrain style, format, and word count for production needs.
• Hands-on: build prompts for complex, multi-step tasks.

Module 4: Interactive Exercises and Case Studies

• Tackle end-to-end scenarios (e.g., plans, policies, analyses).
• Compare outputs and discuss optimization strategies.
• Document prompt templates and evaluation rubrics.

Module 5: Wrap-Up and Next Steps

• Recap advanced techniques and selection criteria.
• Share resources for continued learning and practice.
• Open Q&A and guidance for real-world rollout.