Loading lessons…
Creators · Ages 14–17
The full LLM pipeline, agentic AI with OpenClaw + Ollama, subscription-tier literacy, and a real capstone.
Meet your guide: Atlas — a minimal octahedron
Your progress
Loading your progress…
Where should I start?
Chapters
Modules · 46
Some problems need more than one prompt. Learn how to design multi-turn reasoning flows — reflection, critique, retry — that give you AI which actually solves hard problems.
Whiteboarding a LeetCode problem no longer predicts 2026 performance. Here's what coding interviews are becoming, and how to prepare for the new format.
Code review is the highest-leverage touchpoint in a team. Automating the noise with AI frees humans to focus on the irreducibly human parts. Let's design the workflow.
The creators capstone. You scope, design, build, test, deploy, and document a real full-stack project using an agentic workflow — end to end.
Everything comes together. Design, code, test, secure, and ship a production-quality agent with open-source code you can fork today.
Two fundamentally different approaches to generating pixels. Understand the architectural tradeoffs to reason about what each can and can't do. Classifier-free guidance (CFG) controls prompt adherence vs.
Base diffusion models give you creative possibilities. Adapters give you creative PRECISION. Master the three that matter most.
Flux Pro vs. Flux Dev. Midjourney vs. Stable Diffusion. The choice affects product architecture, cost, and what's possible. Here's the honest tradeoff.
Behind the glossy UIs, video models expose REST APIs. Here's how to call Sora, Veo, and Runway programmatically and build production pipelines.
ElevenLabs, Stable Audio, and Suno expose APIs for voice, SFX, and music. Here's how to compose them into a production audio pipeline.
Two families of provenance technology. One attaches signed metadata. The other embeds invisible patterns in the pixels or waveform. Here's how to implement both. The manifest contains ASSERTIONS (who captured/generated it, which tools/models, editing history, bounding boxes of AI-generated regions).
Who owns it? Who can you sue? Who indemnifies you? The commercial licensing landscape is fragmented, evolving, and critical to ship-safe work.
The winning pattern in 2026 is not AI-replacing-humans — it's AI-as-instrument. Figma, v0.dev, Canva, and editor workflows show how to compose it.
Consent, deepfakes, fair use, democratization of creation. The hardest questions in this track don't have clean answers. Let's work through them honestly.
Plan, build, and launch a real creative product using the full AI stack. This is the final deliverable of the Creative track.
Brand loyalty is a liability in AI. Learn the muscle memory of switching models, the signals that say 'time to swap,' and the anti-lock-in habits.
Sora 2 moved from consumer-only to API in 2026. 60-second 1080p video from a prompt, callable from code.
Black Forest Labs offers three Flux tiers. Schnell is free-speed, Pro is the paid flagship. Here is when each wins.
Flux Dev is the LoRA-friendly middle tier of the Flux family. Here is how to train a style on your own art without renting a farm.
Niji is Midjourney's anime-specialist model. Here is how to prompt it and when it beats general Midjourney for stylized art.
SDXL Turbo renders in a single step. That unlocks interactive, typing-to-image experiences you cannot build on slower models.
ElevenLabs v3 clones a voice from seconds of audio. Here is what to build, what to avoid, and how to stay on the right side of consent.
Fine-tune, evaluate, serve, monitor. The ML engineer is the person who ships the models that now power medicine, law, and design. It is the highest-leverage engineering role.
Autodesk Forma and generative design explore thousands of layouts while you sleep. The PE still owns every seal on every drawing.
Fusion generative design explores millions of topology options. nTopology and Ansys simulate in hours what used to take weeks. The ME still owns manufacturability.
HubSpot Breeze, Jasper, and Adobe Firefly produce copy, creative, and segmented sends in hours instead of weeks. Taste and strategy are the remaining differentiators. What AI touches Copywriting — Jasper, Writer, Copy.ai for ads, emails, landing pages.
Massing studies that took two weeks now take two hours. Here is what an architect actually does when the computer can draft.
Generative imagery, 3D garment sim, and on-demand pattern-making have collapsed the front end. Taste is still the scarce resource.
Syndromic surveillance runs on ER notes, wastewater, and social signals. The epidemiologist designs the study, interprets the signal, and briefs the public. An anomaly detection model has flagged a GI cluster in one district.
Site design, shade analysis, and permit packets run through AI. The work on the roof still runs through your hands.
AI runs the research and drafts the decks. The strategist still has to decide what a brand means.
Space planning, mood, and 3D viz have collapsed to hours. The designer still has to know what a room should feel like. What AI touches Concept renderings — text-to-image from existing room photos.
The job climbed the ladder. Simple image labeling went to workflows; trained humans now do reinforcement learning from human feedback on hard tasks.
Figma's AI features (First Draft, Make Designs, Rename Layers) bring generative design to the industry standard. Deep dive on what it's changed and what's still a gimmick.
Framer's AI turns a prompt into a publishable website with real code. Look at who's using it to ship portfolios and small-biz sites in 2026.
Recraft focuses on style consistency, vector output, and brand workflows — things Midjourney still ignores. Deep dive on why designers and marketers are switching.
Galileo AI (now part of Google) generates high-fidelity UI mockups from prompts. Look at the acquisition, what happened to the product, and current Google Stitch equivalence.
Uizard turns hand-drawn sketches, screenshots, and prompts into editable UI mockups. Look at whether its 2026 AI upgrades make it a real Figma alternative.
Runway Gen-4 generates cinematic AI video from prompts. Deep look at its industrial-strength features, why studios use it, and the ethical firestorm around it.
ElevenLabs generates synthetic voices indistinguishable from human recordings. Deep dive on voice cloning, dubbing, the consent-and-ethics story, and pricing realities.
Suno generates full songs — vocals, instruments, lyrics — from a text prompt. Deep dive on what it sounds like, the industry lawsuits, and whether it's a toy or a tool.
Descript revolutionized podcast editing by making audio editable as text. Deep dive on Overdub voice cloning, Studio Sound, and the serious 2025 updates. Studio Sound — one-click AI noise reduction that makes laptop recordings sound studio-quality.
Pika Labs built a viral AI video product aimed at creators, not studios. Compare it to Runway and look at where it fits in 2026.
The eval that matters most is the one tied to your real task. Here is a step-by-step way to build one. The rubric is the product Most 'AI product' failures are actually rubric failures.
Every labeled dataset has mistakes. Studies have found error rates of 3 to 6 percent in famous benchmarks like ImageNet. Noisy labels confuse models and mislead evaluations.
In September 2012, a neural network crushed ImageNet and everything about AI changed.