Google's 9 Hour AI Prompt Engineering Course In 20 Minutes | Tina Huang

In this monologue podcast, Tina Huang reviews Google's Prompt Engineering course, offering a condensed version to save listeners time. She outlines the course's four modules: prompt writing, designing prompts for work tasks, using AI for data analysis and presentations, and advanced techniques for creative partnerships with AI. Tina introduces a five-step framework for prompt design (task, context, references, evaluate, iterate), emphasizing the importance of iteration and providing mnemonics for remembering the framework and iteration methods. She also touches on multimodal prompting, potential issues like hallucinations and biases, and responsible AI usage. The review includes practical examples and use cases for various modules, including generating content, data analysis, and presentation building, and concludes with advanced prompting techniques like prompt chaining, chain of thought, tree of thought, meta prompting, and AI agents.