Workshop

Deploy Agentic AI Systems for Engineers

Paramanantham Harrison

Engineering leader, Agentic AI educator

Take your agentic AI system to production in four hours.

Your agents work on your laptop. Production asks harder questions. Who is each agent acting as, and what may it touch? What stops a prompt injection hidden in a document? Which calls can be cached, and who pays for the rest? How do you see what an agent did last night, and how do you know a model change did not make it worse?

Most agent projects stall here, between the demo and the security review. In this workshop you take a working agentic system through each of those questions, live, using AI mission control as the system.

You leave with the system deployed and a checklist to put your own agents through before they ship.

What you’ll learn

A one-day working session to take an agentic AI system to production: identity, permissions, guardrails, an LLM gateway, traces and evals.

  • Give each agent its own identity and check every action against the user's permissions.

  • Block prompt injection and keep secrets out of the model.

  • Route, cache and budget every model call per tenant.

  • Trace every run in Langfuse and watch cost, latency and failures.

  • Run evals in CI and fail a deploy that makes an agent worse.

  • Leave with a production checklist for your own agents.

Workshop agenda

  • Identity for Every Agent

    Sign each agent in with its own credentials and act on behalf of the user with Keycloak.

  • Permissions and Policy

    Check every action with OpenFGA and write approval rules as code.

  • Guardrails

    Block prompt injection and keep secrets and personal data out of the model.

  • The LLM Gateway

    Route, cache and budget every model call per tenant.

  • Traces and Dashboards

    Trace every run in Langfuse and watch cost, latency and failures.

  • Evals in CI

    Fail the deploy when a prompt or model change makes an agent worse.

  • Ship It

    Deploy the system and onboard a second tenant live.

Learn directly from Paramanantham

Paramanantham Harrison

Paramanantham Harrison

Contact

Engineering leader, Agentic AI educator

See all products from Param

Who this workshop is for

  • Software engineers taking an agentic system from demo to production (you learn identity, guardrails and the deploy path)

  • Platform engineers and tech leads who will run agents for many teams (you learn gateways, budgets, traces and evals)

Prerequisites

  • You have built an agent

    You have built an agent with tools, in any framework.

  • You know Docker and Git

    You can run containers and clone a repository.

  • You have an LLM API key

    Any major provider works.

What's included

Paramanantham Harrison

Live sessions

Learn directly from Paramanantham Harrison in a real-time, interactive format.

Live workshop access

Four hours with Param, taking an agentic system to production.

Starter repo

The AI mission control system used in the session, to run on your own machine.

Recordings you keep

The full session, recorded.

Certificate of completion

Share what you shipped with your team or on LinkedIn.

Maven Guarantee

Your purchase is backed by the Maven Guarantee.

Frequently asked questions

Maven for Teams

Reimbursement

Get your company to pay

Everything L&D needs: email template, receipts, and certificate of completion.

Get reimbursed

Team discount

Learn with your teammates

Save 20%+ when 2 or more teammates enroll in the same cohort.

Save 20%+ with a team

Private cohort

Run a cohort for your org

A dedicated cohort with a custom schedule and curriculum, tailored to your team.

Book a private cohort

$297

USD

Dec 19
·

10am–2pm EST

Enroll