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 · 25
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.
Behind the glossy UIs, video models expose REST APIs. Here's how to call Sora, Veo, and Runway programmatically and build production pipelines.
Who owns it? Who can you sue? Who indemnifies you? The commercial licensing landscape is fragmented, evolving, and critical to ship-safe work.
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.
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.
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.
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.