Skills
AI Fluency 101

AI Fluency 101

Discover how AI actually works, from the prediction engine behind ChatGPT to autonomous agents that take real-world actions. Build practical skills in prompt engineering, understand the creative AI revolution across image, video, and voice, and develop a strategic framework for the rapidly evolving AI landscape. Whether you use AI daily or just getting started, this basic course transforms surface-level familiarity into genuine fluency.

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The AI You Already Use (But Don't Understand)

The AI You Already Use (But Don't Understand)

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You'll learn how large language models actually work — prediction engines, not thinkers — why they hallucinate with total confidence, and how to protect yourself from it. Then you'll master a 5-layer prompt formula that separates serious AI users from everyone else, learn to pick the right model for the job, and uncover the hidden system settings shaping every response.

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Agents, Tools & Autonomy

Agents, Tools & Autonomy

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AI has moved beyond conversation — it can now browse the web, run code, send emails, and chain tasks together autonomously. This track unpacks how that actually works: function calling, the observe-plan-act-evaluate agent loop, and the real failure modes nobody talks about. You'll explore the full platform landscape from no-code to developer-grade, see live use cases at real companies, and understand how multi-agent systems divide and conquer complex work.

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The Creative Explosion - AI Outcomes

The Creative Explosion - AI Outcomes

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AI now generates images, video, voice, and music at a quality that wasn't possible 18 months ago. You'll learn how diffusion models create art from noise, where AI video stands today and where it's heading, and how voice cloning works from just 10 seconds of audio. Then you'll map the full AI production pipeline — and tackle the question every creative is asking: what does this mean for my career?

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What's Coming Next (The AI Future, Decoded)

What's Coming Next (The AI Future, Decoded)

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Go beyond using AI to thinking strategically about it. You'll learn how RAG connects AI to private company data, when fine-tuning makes more sense, and why AI bias and alignment are problems everyone should understand — not just engineers. Add in a tour of global AI regulation (EU, China, US), five near-term predictions grounded in evidence, and a framework for building your own AI strategy.

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