Production-LLM Engineering
From one prompt to engineered agent systems.
4 fundamentals and 32 focused topics on the systems around the model: context, prompting, conversation, response contracts, loops, graphs, interoperability, state, serving, retrieval, evaluation, reliability, cost, and safety.
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Today · Wed, Sep 23, 2026
Fresh lessons
New papers, repositories, discussions, and articles mapped to the course.
- 01Ringg’s AI agents resolve up to 65% of customer calls with OpenAI
articleOpenAIConversation Engineering
- 02volcengine/OpenViking
repositoryGitHub · recently activeState, Memory & Durability
- 03PrimeIntellect-ai/prime-agent
repositoryGitHub · recently activeLoop Engineering
- 04affaan-m/ECC
repositoryGitHub · recently activeLoop Engineering
Start Here
Fundamentals
Curriculum
The Core Stages
Prompt Engineering
Design one clear model request with instructions, examples, constraints, and a realistic success test.
Conversation Engineering
Manage turns, roles, history, summaries, retrieval, and what carries forward between messages.
Response Engineering
Turn stochastic text into typed, validated, repairable responses and safe tool requests.
Loop Engineering
Build bounded model–tool loops with routing, retries, verification, budgets, and explicit exits.
Graph Engineering
Make control flow explicit with typed state, branches, parallel nodes, cycles, subgraphs, and human gates.
Agent Capabilities
Reusable capabilities, interoperability, state, memory, and executable specifications.
Explore 3 modules
Production Deep Dives
Serving, retrieval, evaluation, safety, economics, and strategy when you need more depth.
Explore 6 modules