Generative AI Prompting Basics for Beginners

Through hands-on practice and engaging instruction, learners will develop the skills to harness the power of generative AI tools for creative content, summarization, and problem-solving tasks.

Learning Objectives
1. Understand the fundamentals of generative AI, including how various models work
2. Develop skills in prompt engineering to create high-quality outputs across multiple AI tools
3. Explore practical applications such as content generation, summarization, and creative ideation
4. Identify challenges like AI hallucinations and bias, and learn strategies for mitigating them
5. Apply prompt engineering skills in real-world tasks, from social media scheduling to creating tutorials

Topic Outline

Introduction to Generative AI:
- Overview of generative AI and large language models (LLMs).
- Use cases and applications across different AI platforms.
- Differences between key AI tools and models.
- Milestone: Write a short biography using prompts on different AI tools.

Prompt Engineering Fundamentals:
- The basics of prompt engineering: crafting effective prompts across various tools.
- How different AI models interpret and respond to prompts.
- Key prompt strategies: context, instructions, and output specifications.
- Milestone: Design a schedule of social media posts using AI-powered tools.

Practical Applications Across AI Tools:
- Brainstorming and content creation using generative AI.
- Summarizing complex content and simplifying information.
- Rewriting content to fit different tones or styles.
- Enhancing personal writing (e.g., resumes, articles) across multiple platforms.
- Milestone: Build a personal prompt notebook with examples from various AI tools.

Addressing AI Challenges:
- Recognizing and managing AI hallucinations across different platforms.
- Understanding the limitations and ethical implications of generative AI, including legislation and copyright.
- Identifying and addressing bias in AI-generated content.
- Addressing AI Safety and Privacy concerns.

Prerequisites
- Access to one or more AI tools (including, but not limited to, free versions of popular platforms)
- A Google Docs or other notebook application to store prompts and outputs

Special Features
- Learners who complete the course will earn a Stanford Technology Training Certificate of Completion. 
- The live-online format promotes collaborative learning, allowing participants to engage in peer discussions and tackle complex tasks in real-time.