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Welcome and Course Orientation

Course Overview and Learning Outcomes for Entrepreneurs, Business Leaders, Teachers, and Students

Defining Artificial Intelligence in Clear, Everyday Terms

Why AI Matters Today

Understanding AI for Work and School

AI Fundamentals for Business and Education

AI Capabilities and Common Use Cases for SMBs, Enterprises, Classrooms, and Campuses

Data, Inputs, and Outputs: The Heart of AI Value

How AI Systems Work Without Code

Applying AI in Business Settings (Entrepreneurs, Owners, and Leaders)

Identifying High-Value, Low-Risk Business Opportunities for AI

Responsible and Compliant AI Use in Businesses, Especially SMBs

AI Basics for Busy Leaders

Understanding AI’s Role in Small Businesses

From Inputs to Outcomes with AI

AI Essentials for Entrepreneurs and Owners

Applying AI in Education (Teachers and Students)

Enhancing Teaching and Learning with AI While Preserving Academic Integrity

Creating Effective Prompts and Rubrics for Educational AI Use

Applying AI to Everyday Learning

Practical AI Uses in Teaching and Study

Using AI to Support Learning Goals

Hands-On Practice and Checklists

Prompting Fundamentals for Business and Classroom Scenarios

Operational Checklists to Safely Deploy AI Assistants

Hands-On AI Scenarios and Checklists

Step-by-Step AI Practice Guides

AI Foundations: Hands-On Worksheets

Practice Guides for Non‑Technical AI

Knowledge Checks: Quizzes

Quiz 1: Defining AI in Simple Terms and Core Function

Quiz 2: AI Capabilities and Use Cases Across Business and Education

Quiz 3: Inputs, Data Quality, and Outputs

Quiz 4: How AI Systems Work Without Code

Quiz 5: Business Opportunity Identification

Quiz 6: Responsible and Compliant AI for SMBs

Quiz 7: AI in Teaching and Learning with Integrity

Quiz 8: Prompting and Rubrics for Education

Quiz 9: Prompting for Business and Classroom Scenarios

Quiz 10: Deployment Checklists and Monitoring

Wrap-Up and Next Steps

Course Summary and Action Plans for Entrepreneurs, Business Leaders, Teachers, and Students

Survey 1: Confidence in Defining AI and Its Core Function

Survey 2: Business and Classroom Use Intentions

Survey 3: Responsible Use and Policy Readiness

Survey 4: Prompting Skill Self-Assessment

Survey 5: Course Feedback and Next Learning Needs

AI Fundamentals for Business and Education: Practical, Non-Technical Essentials is a clear, no-jargon course that shows entrepreneurs, small business owners, managers, teachers, and students how to get real value from AI—without writing code. In short, AI is software that learns patterns from data to turn inputs (like prompts, documents, or sensor readings) into useful outputs (answers, summaries, forecasts, recommendations, or content). This course keeps that simple input-to-output idea front and center so you can quickly spot opportunities in your work or classroom. You’ll learn core capabilities such as prediction, recommendation, and content generation, along with the practical limits of AI and where human judgment matters most. Through short videos, walkthroughs, and hands-on prompt recipes, you’ll practice common scenarios: drafting emails, building lesson scaffolds, designing checklists, and evaluating outputs for accuracy and bias. You’ll also get ready-to-use policies, rubrics, and deployment checklists to adopt responsible, compliant AI practices—especially useful for SMBs and schools. By the end, you’ll be able to define AI in plain language, identify high-value, low-risk use cases, craft effective prompts, and measure impact. Whether your goal is to save time, improve quality, support diverse learners, or scale customer support, this course gives you the essentials to apply AI confidently and ethically.

AI Fundamentals for Business and Education: Practical, Non-Technical Essentials

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            <p>Artificial intelligence has moved from buzzword to baseline capability for modern organizations and classrooms. This course provides a practical, non-technical foundation for entrepreneurs, business leaders, teachers, and students who need clear language, concrete use cases, and safe ways to apply AI. You will learn to define AI in everyday terms—as systems that learn patterns from data to turn inputs into useful outputs—and to recognize how this framing underpins real work: answering questions, generating drafts, making recommendations, and supporting decisions. The learning experience prioritizes short lectures, scenario walkthroughs, and hands-on prompts without coding, so you can focus on concepts, checklists, and results rather than math or engineering details.</p>
<p>Early modules establish what AI is, why it matters now, and how it differs from traditional software. We then map core capabilities—perception, prediction, recommendation, decision support, and generation—to practical business and education examples. You will examine inputs, outputs, and data quality principles; explore how AI systems are built and monitored without writing code; and understand common limitations such as bias, hallucinations, and domain gaps that require human oversight. For business audiences, dedicated sections guide you to identify high-value, low-risk opportunities, set responsible-use policies, and measure impact with clear metrics. For educators and students, the course demonstrates how to enhance teaching and learning with integrity, from lesson planning and accessibility supports to student study aids, prompt design, and rubric-guided verification.</p>
<p>Throughout the course, you will practice prompt patterns for everyday tasks—summaries, drafts, explanations, tables, and step-by-step plans—using scenario packs that mirror real workflows: customer replies, product FAQs, lesson scaffolds, and study guides. Operational checklists help you deploy AI assistants safely, covering goals, data sources, privacy, human-in-the-loop review, and ongoing monitoring. Knowledge checks and short surveys reinforce key ideas and track your confidence as you progress. The course concludes with a concise action plan tailored to entrepreneurs, business leaders, teachers, and students: one quick win to try this week, one policy to adopt, and one metric to monitor. The result is a practical toolkit for using AI responsibly and effectively—no coding required.</p>
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