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Honors AI Foundations for High School Students · LearnSpace
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Honors AI Foundations for High School Students

Курс от Vanderbilt University
Начальный≈ 19 чАнглийский
О курсеНавыкиПрограммаПреподаватели

О курсе

Honors AI Foundations for High School Students Prepare yourself for the AI-driven future. Large language models like ChatGPT, Claude, and Gemini are transforming every field—from science and medicine to business, creative arts, and engineering. They're becoming as essential to your future as smartphones are today. But here's the difference: while everyone will have access to these tools, only those who truly understand how to use them will be prepared to innovate, lead, and succeed. This Honors AI Foundations course is designed for accomplished high school students ready to develop genuine expertise in applied AI—not just familiarity, but real skill. Think of it as the AI equivalent of an AP course: it positions you to enter college with a competitive edge and a Vanderbilt University certificate from Coursera that signals serious preparation in one of the world's most important emerging fields. What You'll Learn: - Use large language models effectively and strategically - Master prompt engineering—the skill that separates expert users from novices - Apply prompt patterns and advanced techniques to solve problems across any domain - Build applications powered by large language models - Harness AI for innovation in writing, coding, summarization, planning, simulation, tutoring, and problem-solving - Understand the limitations and risks of AI systems - Use AI to process information, reason through complex problems, and program solutions Concrete, practical skills. You'll work through real examples showing how AI can tutor you in math, help you write better essays, generate code for your projects, improve your cybersecurity, plan your life more effectively, and tackle problems in your job or personal interests. You'll build toward writing sophisticated prompts that can handle nuanced, multi-step problems across any field. No prerequisites required—just basic computer skills (using a browser and accessing ChatGPT, Claude, Gemini, or another equivalent AI tool). Why This Matters for College and Your Future: Colleges are beginning to recognize AI literacy as a foundational skill, much like they did with computer science. An Honors AI Foundations certificate from Vanderbilt demonstrates that you've invested in serious preparation, that you understand both the power and the responsibility of AI, and that you're ready to innovate and lead in an AI-driven world. Whether you pursue computer science, business, medicine, engineering, humanities, or any other field, this credential and these skills will distinguish your college applications and prepare you to succeed wherever AI intersects with your interests. Upon successful completion of this course, you will receive an Honors AI Foundations Certificate from Vanderbilt University via Coursera.

Навыки, которые вы освоите

Prompt EngineeringPrompt PatternsLLM ApplicationResponsible AIModel EvaluationArtificial Intelligence and Machine Learning (AI/ML)ChatGPTGeminiAI WorkflowsGoogle GeminiAI literacyLarge Language ModelingPrompt Engineering ToolsGenerative AIComplex Problem SolvingArtificial IntelligenceAI powered creativityAnthropic ClaudeAI Enablement

Программа курса

6 модулей · 71 учебных материалов

01Course Introduction10 материалов

Course Overview

Motivating Example: Prototyping a Keto Fusion Meal Plan with ChatGPTВидеоMotivating Example: Extending the Meal Plan into Stories, Games, and SoftwareВидеоOverview of the CourseВидеоWho This Course is ForВидеоMotivating Example: Act as a Speech Pathologist

Учитесь у экспертов

Dr. Jules White

Professor of Computer Science

Honors AI Foundations for High School Students
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Обучение откроется на Coursera
в новой вкладке

Обучение на Coursera

≈ 19 ч

6 модулей

Язык: Английский

Субтитры: Арабский, Французский, Бенгальский, Узбекский, Украинский, Китайский (Китай), Греческий, Итальянский, Бразильский португальский, Вьетнамский, Нидерландский, Корейский, Ория, Немецкий, Пушту, Урду, Русский, Тайский, Индонезийский, Шведский, Турецкий, Азербайджанский, Испанский, Дари, Хинди, Японский, Казахский, Венгерский, Польский

Часть программы вашего университета
Видео
Setting Up an Account and Using ChatGPTЧтение

Large Language Model Basics

What are Large Language Models?ВидеоPractical Considerations for Large Language ModelsВидеоRandomness in OutputВидеоCreating Your First PromptsЗадание
02Introduction to Prompts15 материалов

What are Prompts?

What is a Prompt?ВидеоIntuition Behind PromptsВидеоEveryone Can Program with PromptsВидеоProgramming with PromptsЗадание

Intro to Prompt Patterns

Prompt PatternsВидеоThe Persona PatternВидеоReading a Prompt PatternЧтениеFormat of the Persona PatternЧтениеLearn More About Prompt PatternsЧтениеApplying the Persona PatternЗадание

Prompts, Conversations, & New Information

Introducing New Information to the Large Language ModelВидеоPrompt Size LimitationsВидеоPrompts are a Tool for Repeated UseВидеоRoot PromptsВидеоCreating Prompts with New InformationЗадание
03Prompt Patterns I9 материалов

Introduction to Prompt Patterns

Question Refinement PatternВидеоFormat of the Question Refinement PatternЧтениеCognitive Verifier PatternВидеоFormat of the Cognitive Verifier PatternЧтениеAudience Persona PatternВидеоFormat of the Audience Persona PatternЧтениеFlipped Interaction PatternВидеоFormat of the Flipped Interaction PatternЧтениеApplying Prompt Patterns IЗадание
04Few-Shot Examples10 материалов

Effective Prompts

Few-shot ExamplesВидеоFew-shot Examples for ActionsВидеоFew-Shot Examples with Intermediate StepsВидеоWriting Effective Few-Shot ExamplesВидеоChain of Thought PromptingВидеоLearn More About Chain of Thought PromptingЧтениеReAct PromptingВидеоLearn More About ReActЧтениеUsing Large Language Models to Grade Each OtherВидеоApplying Few-Shot Examples ConceptsЗадание
05Prompt Patterns II11 материалов

Prompt Patterns Catalog

Game Play PatternВидеоFormat of the Game Play PatternЧтениеTemplate PatternВидеоFormat of the Template PatternЧтениеMeta Language Creation PatternВидеоFormat of the Meta Language Creation PatternЧтениеRecipe PatternВидеоFormat of the Recipe PatternЧтениеAlternative Approaches PatternВидеоFormat of the Alternative Approaches PatternЧтениеApplying Prompt Patterns IIЗадание
06Prompt Patterns III16 материалов

Prompt Patterns Catalog

Ask for Input PatternВидеоFormat of the Ask for Input PatternЧтениеCombining PatternsВидеоOutline Expansion PatternВидеоFormat of the Outline Expansion PatternЧтениеMenu Actions PatternВидеоFormat of the Menu Actions PatternЧтениеFact Check List PatternВидеоFormat of the Fact Check List PatternЧтениеTail Generation PatternВидеоTail Generation PatternЧтениеSemantic Filter PatternВидеоFormat of the Semantic Filter PatternЧтениеCourse Conclusion & Thank YouВидеоContinue Learning About Prompt EngineeringЧтениеCreating a Prompt-based ApplicationЗадание