Production-Ready Systems with LLMs and Agents
Your demo works. Production is a different system. Workflows versus agents, context that decays, cost and latency budgets, agent threat modelling, and evals that catch a silent regression before your users do. The self-paced version of the live cohort.
$1,500 live cohort$299 self-paced, same curriculum
Full refund if the first module doesn't change how you design.
About This Course
Most production-AI material still teaches the 2025 threat model: prompt injection and output quality. The problems senior engineers actually hit in 2026 moved. The agent stack became opaque, providers change behaviour inside a pinned version without announcing it, the tooling you install has repo and credential access and auto-updates, and integration convenience is billed in context on every single request.
The through-line of this course is control and observability over systems you do not own. Six weeks of sessions and labs, six cheat sheets, six projects you run against your own system, and field guides to thirty-one tools so you can choose rather than adopt.
This is the self-paced version of the live cohort. The recordings teach; the cohort reviews your work.
Course Curriculum
8 modules · 4 of 61 lessons recorded so far · free lessons open to everyone
$1,500 live cohort · same curriculum, self-paced
Full refund if the first module doesn't change how you design.
What You'll Learn
- Start Here
- Workflows and Agents
- Context Engineering and Retrieval
- Cost, Latency and Reliability
- Agent Architecture and Security
- Evals and Observability
- Shipping It
- Capstone: Worked LLM System Designs
Ready to level up?
61 lessons across 8 modules, 4 of 61 lessons recorded so far. Start with the free module, then unlock the rest.