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Claude CodeAgentic engineering in your own repositoryChatGPTAssistants, GPT apps and workflow automationGrokReal-time reasoning on live dataOpen Source ModelsLlama, Mistral and Qwen on hardware you controlAgentic SystemsMulti-agent design, MCP and evaluationSomething elseTailored to your team or syllabus
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Agentic Systems

Multi-agent design, MCP and evaluation

The model-agnostic layer: how to decompose a job into tools an agent can use reliably, when a second agent earns its keep, and how to evaluate a system whose output is different every time you run it.

Enquire about datesSee formats and pricing
MCPOrchestrator patternsTracingLLM-as-judge
Who it's for
Engineers and architects designing agent systems for production
Assumed background
Completed one model track, or equivalent hands-on experience.
Delivered as
2-day deep dive · 4-week evening cohort · private team workshop
Curriculum

What the track covers

Ordered the way we teach it. Private workshops reorder and reweight this against what your team already knows.

  1. 01

    Tool design is the whole job

    Naming, schemas and error messages an agent can actually recover from — the highest-leverage work in any agent project.

  2. 02

    Context as a budget

    What to load, what to summarise, what to leave on disk, and why a long context window doesn't remove the problem.

  3. 03

    MCP servers end to end

    Exposing your internal systems through a standard interface, with authentication and permissions that survive an audit.

  4. 04

    When to add a second agent

    Orchestrator and worker patterns, handoffs, and the honest cases where one well-scoped agent beats a committee.

  5. 05

    Evaluating non-deterministic systems

    Deterministic checks, rubric grading and model-as-judge — plus how to keep the judge itself honest.

  6. 06

    Running it in production

    Tracing, cost ceilings, failure containment and the human approval boundaries that let you sleep.

What you'll be able to do

  • Design a tool interface an agent uses correctly on the first attempt
  • Build and secure an MCP server over your internal systems
  • Justify single-agent versus multi-agent with evidence
  • Operate an agent in production with tracing, budgets and approval gates

Prepares you for

  • Certified Agent EngineerExpert · practical assessment
Also available

Other tracks

Teams often pair a model track with Agentic Systems — the tool design and evaluation material applies whichever provider you settle on.

Claude CodeAgentic engineering in your own repository6 modulesChatGPTAssistants, GPT apps and workflow automation6 modulesGrokReal-time reasoning on live data6 modulesOpen Source ModelsLlama, Mistral and Qwen on hardware you control6 modules

Run Agentic Systems for your team

Send over your stack, your group size and roughly when you'd like it. We'll come back with a curriculum outline and a date.

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