Intro to AI
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What is AI, Really?
Is all AI created equal? Discover the difference between narrow, general, and superintelligent AI.
Is all AI created equal? Discover the difference between narrow, general, and superintelligent AI.
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The Origins of Machine Thinking
Discover how war, economics, and human ambition have driven AI through dramatic boom-and-bust cycles, and why understanding this history helps us navigate AI's future.
Discover how war, economics, and human ambition have driven AI through dramatic boom-and-bust cycles, and why understanding this history helps us navigate AI's future.
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Data, Patterns, and the Magic of Machine Learning
You’ll learn how supervised, unsupervised, and reinforcement learning each coax insight from oceans of data—and why that matters to everything from selfie filters to Google Translate.
You’ll learn how supervised, unsupervised, and reinforcement learning each coax insight from oceans of data—and why that matters to everything from selfie filters to Google Translate.
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Neural Networks & Algorithms
In this lesson you’ll peek behind the curtain—visualizing layers and weights, decoding back-propagation, and comparing silicon synapses to our own gray matter.
In this lesson you’ll peek behind the curtain—visualizing layers and weights, decoding back-propagation, and comparing silicon synapses to our own gray matter.
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Garbage In, Bias Out
In this lesson you’ll trace the journey from raw data to real-world impact, uncovering how skewed or incomplete training sets spawn biased outcomes—from unfair loan denials to faulty facial-recognition arrests.
In this lesson you’ll trace the journey from raw data to real-world impact, uncovering how skewed or incomplete training sets spawn biased outcomes—from unfair loan denials to faulty facial-recognition arrests.
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Who Builds the Machine?
In this lesson we examine how the absence—or celebration—of diversity in AI design ripples outward, touching everything from hiring tools to policing software.
In this lesson we examine how the absence—or celebration—of diversity in AI design ripples outward, touching everything from hiring tools to policing software.
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Surveillance, Autonomy, and the Right to Be Obscure
In this lesson you’ll decode surveillance capitalism in plain language, debate the rise of facial-recognition and location-tracking, and apply ethical lenses of fairness, transparency, and consent to real-world AI systems.
In this lesson you’ll decode surveillance capitalism in plain language, debate the rise of facial-recognition and location-tracking, and apply ethical lenses of fairness, transparency, and consent to real-world AI systems.
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The Path Forward
The technology industry has trained us to think of ourselves as "users" of AI systems—passive consumers who either accept or reject what's offered. But this mindset is fundamentally disempowering. You are not just a user of AI; you are a stakeholder whose life is affected by these systems whether you choose to engage with them or not.
The technology industry has trained us to think of ourselves as "users" of AI systems—passive consumers who either accept or reject what's offered. But this mindset is fundamentally disempowering. You are not just a user of AI; you are a stakeholder whose life is affected by these systems whether you choose to engage with them or not.
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Discover what artificial intelligence truly means beyond the Hollywood hype. In this foundational lesson, you'll learn to distinguish between different types of AI, from the narrow systems in your smartphone to the theoretical superintelligence of science fiction. Most importantly, you'll understand why AI reflects not just computational power, but the dreams, biases, and intentions of its human creators.
This beginner-friendly course demystifies artificial intelligence (AI) by exploring what it is, where it came from, how it works, and what it means for our collective future. Rather than treating AI as abstract tech or sci-fi fantasy, this course frames AI as a deeply human story—interwoven with ethics, identity, power, and creativity. Learners will gain a critical yet empowering understanding of AI systems and their impact on our lives, with an emphasis on inclusivity, justice, and interdisciplinary insight.
Ideal for creatives, changemakers, students, and technologists looking to build AI literacy from a place of purpose, reflection, and possibility.
