Module 1: Introduction to Prompt Engineering
What is Prompt Engineering; Importance in AI and Large Language Models (LLMs); Applications across industries
Module 2: Fundamentals of Prompts
Anatomy of a prompt; Instructions vs Context vs Output; Types of prompts (zero-shot, one-shot, few-shot)
Module 3: Crafting Effective Prompts
Best practices for prompt clarity; Controlling output length and format; Using constraints and context
Module 4: Advanced Prompt Techniques
Chaining prompts; Role prompting; Persona prompts; Iterative refinement; Prompt templates
Module 5: Prompt Engineering for Specific Tasks
Text summarization; Translation; Code generation; Question answering; Creative writing
Module 6: Evaluating Prompts and Outputs
Output quality metrics; Handling hallucinations and errors; Feedback loops; A/B testing prompts
Module 7: Tools and Platforms
Using OpenAI Playground, ChatGPT, Anthropic Claude, Bard; Prompt management platforms; Fine-tuning basics
Module 8: Ethics and Safety in Prompt Engineering
Avoiding biased outputs; Ensuring privacy; Responsible AI and content guidelines
Module 9: Advanced Applications and Automation
Prompt-based workflows; Integrating LLMs into apps; AutoGPT, LangChain, and multi-step agents
Module 10: Capstone Project
End-to-end prompt engineering project; Problem definition, prompt design, iteration, evaluation, and presentation