Day-one ready
You finish able to ship, not just pass.
AI-native CS · version 6
Become the obvious hire.
A free, AI-native CS path. Pick a track, ship your first real product in your first 30 days, then keep building until you are the obvious hire.
100% free Course-aligned Updated weekly
The deal
Three steps. That's it.
No fluff, no warm-up. The whole path is built around one outcome.
Pick a track.
Choose the one that excites you most.
Learn from the best, free.
3Blue1Brown, MIT, Karpathy, Anthropic. All linked, all free.
Ship a real product.
Deploy it publicly. That live URL is your proof.
Choose your path
8 tracks. Pick one.
Start anywhere, each track stands alone and ends in a product you can show.
Agentic Systems Engineering
Orchestrate fleets of autonomous agents that ship real work.
Engineer reliable multi-agent systems: tool use, planning, memory, sandboxed code execution, and orchestration patterns that move from a single augmented LLM to a coordinated fleet. You build agents an enterprise can put in production, not demos. Bridges directly to classic Operating Systems, Distributed Systems, and Compilers.
10 concepts · 2 projectsAI Infrastructure & Inference
Serve frontier models fast, cheap, and at scale.
Own the serving layer: the transformer internals that decide cost, quantization, KV-cache management, continuous batching, paged attention, speculative decoding, and GPU-aware deployment. You leave able to stand up an inference platform that holds an SLO under load. Bridges to Operating Systems, Computer Architecture, and Computer Networks.
9 concepts · 2 projectsApplied ML & Model Engineering
Take a base model and make it yours.
Go from neural-net first principles to shipping adapted models: transformer pretraining intuition, supervised fine-tuning, parameter-efficient methods (LoRA/QLoRA), preference optimization (RLHF/DPO), distillation, and rigorous evaluation. You leave able to own a model-customization pipeline end to end. Bridges to Machine Learning, Linear Algebra, and Statistics.
10 concepts · 2 projectsProduction AI Products
Ship AI products that survive real users and real attackers.
Build the full product around a model: retrieval and context engineering at scale, LLM evaluation and observability, AI red-teaming and security, cost governance, and LLMOps. You leave able to take an AI feature from prototype to a hardened, monitored, publicly hosted product. Bridges to Databases, Software Engineering, and Information Security.
8 concepts · 2 projectsFrontier Systems
Build the distributed, real-time substrate AI runs on.
Engineer the systems frontier AI depends on: large-scale distributed training, real-time and streaming AI, GPU cluster scheduling, vector databases at scale, and the consistency and fault-tolerance tradeoffs underneath it all. You leave able to reason about and operate planet-scale AI infrastructure. Bridges to Distributed Systems, Databases, and Operating Systems.
8 concepts · 2 projectsMultimodal AI & Embodied World Modeling
Build models that see, hear, and physically model the world.
Engineer the systems behind vision-language, any-to-any models, and physics-simulating World Action Models (WAMs): how a vision encoder, projection layer, and language decoder fuse; how diffusion and flow-matching generate images and video; and how embodied models process unified physical trajectories for robotic interventions. Bridges to Computer Vision, Signal Processing, and Machine Learning.
8 concepts · 2 projectsAI Safety, Alignment & Interpretability
Make powerful models honest, transparent, and governable.
Work on what frontier labs hire most heavily for: alignment techniques (RLHF, DPO, Constitutional AI), mechanistic interpretability that reverse-engineers what a network computes, safety evaluations and scalable oversight, adversarial robustness and red-teaming depth, and AI governance grounded in real frameworks (model cards, the EU AI Act, the NIST AI RMF). You leave able to ship an interpretability tool and a safety-and-governance pipeline. Bridges to Information Security, Theory of Computation, and Software Engineering.
9 concepts · 2 projectsLand the Elite AI Role
Turn frontier skill into a frontier offer.
Convert everything you have built into an elite AI role: AI/ML system-design interviews, a public portfolio that gets noticed, the real hiring pipeline at frontier labs, top product companies, well-funded startups, and global remote teams, technical writing and communication, open-source contribution and visibility, and compensation and negotiation. You leave with a shipped portfolio product and a rigorous public technical writeup. Bridges to professional practice and software-engineering communication.
7 concepts · 2 projectsWhy it's different
Built to get you hired.
Not a video library. A path engineered around one outcome.
Always current
A frontier AI refreshes the whole curriculum weekly.
Proof, not promises
A live product, mapped to a real CS subject.
How you start
New here? Start your first 30 days with a cohort.
Your first 30 days, you build alongside a cohort, so you start strong and ship something real fast. Then you keep going, week by week, at your own pace. Prefer solo from day one? Pick any track and go.
Your first 30 days · with a cohort
Then week by week · your pace
Curation, not authorship. We never charge, and never claim someone else's lecture as our own. The original work is the routing, the briefs, and the rubrics, the glue that turns scattered brilliance into a path you can walk.