Design practical controls that keep LLM applications safe, scoped, testable, and reliable in production
Trace an LLM request through backend stages, identify untrusted data, and place enforceable checks behind a consistent refusal contract.
Implement screening for harmful prompts, unsafe responses, system-prompt leakage, and improper downstream handling.
Apply detection and redaction patterns across prompts, completions, logs, and tool arguments while preserving useful content.
Use server-side scope checks, schemas, authorization, approvals, idempotency keys, and URL policies before parsing or executing model results.
Build adversarial regression coverage and telemetry with acceptance criteria that reveal drift, bypasses, and security tradeoffs.
Assemble the controls into an end-to-end chatbot backend flow and produce a review-ready map of controls and signals.
4 sections · 12 lessons
Define where guardrails belong in an LLM request path and translate product goals into threats, controls, refusal behaviors, and detection signals.
2 lessonsDesign checks for untrusted prompts and model responses, reduce sensitive-data spread, and enforce topical and permission boundaries at the backend.
4 lessonsValidate structured results, weigh heuristic rules against classifier models, and secure tool calls with least privilege, approvals, idempotency, and URL protections.
3 lessonsBalance safety, latency, and cost, measure guardrail quality against adversarial cases, and integrate the controls into a reviewable chatbot system.
3 lessonsLLM applications accept untrusted inputs, generate uncertain outputs, and may trigger consequential actions, so safety controls must sit at enforceable backend stages. This course helps intermediate developers turn product risks into layered guardrails covering harmful prompts, unsafe responses, sensitive data, scope, structured outputs, classifiers, and tool actions. You will leave with an end-to-end control design for a chatbot, including measurable tests, telemetry, and explicit tradeoffs among safety, latency, and cost.
The course covers guardrail placement, threat scoping, input and output screening, sensitive-data detection, topical and permission boundaries, schema validation, classifier decisions, tool authorization, URL safety, pipeline optimization, regression testing, telemetry, and layered chatbot integration.
From project managers and operators to founders, analysts, and teams adopting AI, Fenzo is for people who want to get better at the work they already do.
Anything from using AI for project planning and analysis to improving workflows, decision-making, communication, and delivery. If you can describe the skill or task, Fenzo can build a course around it.
Yes. Tell Fenzo what you do, what you’re trying to accomplish, and where you’re stuck, and Fenzo will shape the course around your role, your goals, and the work you actually have to do.
No. Fenzo adapts to your starting point, so you can begin with the fundamentals or jump straight into more advanced work.
Yes. Fenzo for Business puts the whole team on one plan — shared seats, courses you can assign, and reporting on who has finished what.
See Fenzo for BusinessYou start by describing your goal or taking a short skill benchmark. Fenzo uses that context to identify gaps and shape the learning experience around them.
Yes, Fenzo works in your mobile browser.
Something to operate in every section.
Three findings from decades of learning research shaped how every Fenzo lesson is built.
Average pass rate · Freeman et al., PNAS 2014
What the science says
Students in lecture-only classes are 1.5× more likely to fail.
How Fenzo does it
Every Fenzo lesson is interactive. No passive reading or watching, ever.
You work through itAI does it for you
Skill retention over time · with vs. without practice
What the science says
Offloading thinking to AI erodes the very skills you’re trying to build.
How Fenzo does it
Fenzo makes you do the thinking — guided, but never done for you.
Retrieval practiceRe-reading
Long-term recall · retrieval vs. re-reading
What the science says
Recalling information beats re-reading it for building durable understanding.
How Fenzo does it
Lessons weave in quizzes and recall prompts, so it sticks.