Corporate AI program
LLMOps, AI Evaluation & Guardrails Training
For: ML engineers, platform teams, SREs, QA and AI product owners.
In short
LLMOps & AI Evaluation Training teaches teams how to move generative AI from demo to dependable production — designing evals, tracing and monitoring LLM apps, adding guardrails, red-teaming for prompt injection and data leakage, and controlling cost and latency.
What your team will be able to do
- Design eval datasets and automated LLM-as-judge pipelines
- Instrument AI apps with tracing and dashboards
- Add input/output guardrails and PII protection
- Red-team for prompt injection and jailbreaks
- Cut cost and latency with caching, routing and model choice
Capstone
Teams take an existing AI prototype, add an eval suite, tracing, guardrails and a cost dashboard, and present a production-readiness review.
Tools & stack
Curriculum
Program modules
A typical outline — every program is tailored to your team's roles, tools, data policies and use cases after a scoping call.
- 01
Evaluation
- Golden datasets and rubrics
- LLM-as-judge and its failure modes
- Regression testing in CI
- 02
Observability
- Tracing with OpenTelemetry, Langfuse, LangSmith
- Online metrics and user feedback loops
- Drift and quality monitoring
- 03
Safety & security
- OWASP Top 10 for LLM applications
- Prompt injection, data exfiltration, tool abuse
- Guardrails and content filters
- 04
Performance & cost
- Prompt caching, batching, model routing
- Small models and distillation
- Capacity planning
FAQs
LLMOps & AI Evaluation: frequently asked questions
Still have questions? Talk to our team — we reply within one working day.
What is LLMOps?
LLMOps is the set of practices for running large language model applications reliably in production — evaluation, monitoring, versioning prompts and models, guardrails, security and cost management.
Why is AI evaluation training important?
Most GenAI projects stall between prototype and production because teams can't prove quality. Systematic evals give you evidence, catch regressions and make go-live decisions defensible.
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Next step
Bring LLMOps & AI Evaluation to your team.
Tell us who you want to upskill and what outcome you need. You'll get a tailored proposal — curriculum, format, trainers and pricing — within 48 hours.