Knowlytics teaches the technology behind modern AI — LLMs, vision-language-action models, and the infrastructure that runs them — with research-grade depth you won't find in tutorials.
A career-track curriculum for engineers breaking into AI — starting with LLMs, then the embodied frontier, then the infrastructure that scales it. Each course goes from the papers that defined the field to code you can actually ship.
How large language models actually work — attention and transformers, pretraining, SFT and RLHF, fine-tuning, and evaluation. The mental model every AI engineer needs, built from the ground up.
Vision-language-action models from first principles to a working policy — your entry into embodied AI, the fastest-moving area in robotics.
Serving and scaling AI in production — inference optimization, distributed training, quantization, and GPU economics. The engineering behind every model API you've ever called.
Most AI content is either beginner tutorials or impenetrable papers. Knowlytics is built for the gap in between: working engineers who code fluently and want research-grade understanding — fast. Every course starts from what you already know and ends at the frontier.
No detours through "what is a variable." We build on the engineering you already have and fill in exactly the math and ML you're missing.
Every module is distilled from the papers that defined the field — math fully worked out, every claim traced to its source.
Each module ends in runnable code. You don't just understand VLA models — you've trained one.
Yes — that's exactly who we build for. The courses assume you're fluent in code and teach the math and ML from the ground up, fast. No PhD required.
Depth and structure. Tutorials show you the demo; we work through the papers, derive the math, and build the systems — in a sequence designed to take you from engineer to AI engineer.
Read frontier papers critically, implement the methods from scratch, and speak the language of AI research teams — the core skills behind AI engineer and research engineer roles.
Written lessons with fully worked math, code walkthroughs, and hands-on exercises built on real papers. Video lessons are on the roadmap.
Pricing will be announced at launch. Expect straightforward one-time purchase pricing — pay once, own the course. Waitlist members get founding-member pricing.
Yes. Every course will include free preview lessons so you can judge the depth and teaching style before you spend anything.
Join the waitlist for launch updates, early access, and founding-member pricing.
Join the waitlistNo spam — just launch updates.