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Payment by wire transferEnhanced confidentialityPerfect for companies with 50 to 500 employeesScheduling to fit any time zone
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Training LiteLLM - Optimizing LLM Pipelines in Production

Ref: DAL901
10 people max.
From $5,145 HT / per person
Pay in 3 installments · On-site on request · +$540 with certification exam
4 days
Remote

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Learning objectives

  • Master LiteLLM to integrate multiple LLM providers in an enterprise setting
  • Develop scalable and resilient LLM pipelines in production
  • Implement advanced routing and load balancing with LiteLLM
  • Configure observability and monitoring for certifiable skills
  • Optimize costs and performance of professional LLM calls
  • Deploy LiteLLM in high availability mode for critical projects
  • Design hybrid LLM architectures with intelligent fallback

The Learni story

Founded by engineers and learning experts, Learni's mission is to make high-impact tech training accessible to teams everywhere. We work remotely with organizations across the US and Canada, in your time zone, to help teams upskill fast.

Don't let this gap widen

Why this program matters

  • Without this upskilling, your team accumulates a technological gap that translates directly into productivity loss.

  • Organizations that don't train their talents on key topics see their competitiveness drop.

  • Every quarter without training is a gap widening with competitors who invest.

  • The cost of inaction quickly exceeds that of well-targeted training.

Imed BEN AMOR
Imed BEN AMOR

Learni trainer · Development expert

73%productivity gap
×3cost of inaction

Program

Module 1LiteLLM: Advanced Architecture and Multi-Providers (YAML config, Python SDK, unit tests)

Dive into advanced LiteLLM installation on Docker, configure dozens of providers like OpenAI, Anthropic, Grok in a single unified YAML file, test hybrid calls with automatic fallbacks, perform practical exercises on an enterprise RAG use case, generate detailed logs and a first observability dashboard to validate your professional skills from the first day.

Module 2LiteLLM: Intelligent Routing and Load Balancing (custom rules, virtual keys, scaling)

Design dynamic LiteLLM routes based on costs, latency, or availability, implement load balancing on Kubernetes with provided Helm charts, simulate traffic spikes on real enterprise datasets, optimize with integrated Redis caching, produce a resilient LiteLLM proxy tested under load via Locust, and document your rules for immediate reuse in production.

Module 3LiteLLM: Observability and Security (Prometheus, tracing, rate limiting, virtual keys)

Integrate LiteLLM monitoring with Prometheus and Grafana to track API costs in real-time, deploy distributed tracing via OpenTelemetry on complex LLM flows, configure rate limiting and virtual keys to secure multi-team access, analyze metrics on concrete token leak cases, generate automated Slack alerts, and export reports for GDPR compliance audits in the enterprise.

Module 4LiteLLM: Production Deployment and 2026 Optimization (serverless, CI/CD, model tuning)

Deploy LiteLLM serverless on AWS Lambda or Vercel with GitHub Actions CI/CD, optimize for 2026 features like multimodal streaming, test high availability with chaos engineering, measure ROI via 40% cost reduction on real workloads, finalize a scalable red thread project deliverable, and prepare for skills certification to boost your professional AI career.

Evaluation method

  • Multiple-choice quiz to validate learning outcomes at the end of the training
  • Continuous assessment through practical exercises
  • Defense of the red thread project in front of the trainer

Learning method

  • Training led by an expert trainer in active practice
  • Practical exercises on real enterprise cases
  • Progressive red thread project throughout the training
  • Complete course materials provided to each participant

Methods, materials and delivery

The Training LiteLLM - Optimizing LLM Pipelines in Production program is delivered onsite or remote (blended-learning, virtual classroom, remote presence). At Learni, an industry-certified training organization, every program is built to maximize skills acquisition regardless of the chosen format.

The trainer alternates between demonstrative, interrogative and active methods (through hands-on labs and/or scenarios). This pedagogical approach guarantees concrete learning that's immediately applicable at work.

Equipment required

For the smooth delivery of the Training LiteLLM - Optimizing LLM Pipelines in Production program, the following equipment is required:

  • Mac or PC computers, high-speed fiber internet, whiteboard or flipchart, projector or interactive touch screen (for remote sessions)
  • Training environments installed on workstations or accessible online
  • Course materials, hands-on exercises and complementary resources
  • Post-training access to materials and educational resources

For intra-company training on a site outside Learni, the client commits to providing all required teaching materials (computers, internet, etc.) for the smooth delivery of the program in line with the prerequisites in the communicated program.

* contact us for remote delivery feasibility** ratio varies depending on the program

Skills assessment methods

Assessment of skills acquired during the Training LiteLLM - Optimizing LLM Pipelines in Production program is performed through:

  • During training: case studies, hands-on labs and professional scenarios
  • End of training: self-assessment questionnaire and skills evaluation by the trainer
  • After training: completion certificate detailing acquired skills

Program accessibility

Learni is committed to making its programs accessible. All our programs are accessible to people with disabilities. Our teams are available to adapt the pedagogical methods to your specific needs. Please contact us for any adjustment request.

Enrollment terms and lead times

Registration is possible up to 48 business hours before the start of training. All our programs are built for corporate L&D budgets and delivered onsite or remotely.

Our method

Training quality, guaranteed at every step

Before, during, after: we frame the brief, introduce the trainer, tailor the content and measure impact. You stay in control from kickoff to wrap-up.

Step 1

Rigorous trainer selection

Each trainer is validated on three criteria: hands-on field expertise, proven pedagogy and alignment with your industry.

  • Triple validation: technical, pedagogical, sectoral.
  • Minimum rating 4.8/5 over the last 12 sessions.
Step 2

You meet the trainer beforehand

30-minute video call between you and the selected trainer to validate the fit, adjust content and clear any final doubts.

  • Live briefing on goals and team context.
  • Veto right — we swap the trainer for free if needed.
Step 3

Content tailored to your context

No recycled slides. The syllabus is reworked from your real cases: tools, constraints, vocabulary, ongoing projects.

  • Hands-on cases drawn from your stack and projects.
  • Program co-written then validated by your team.
Step 4

Continuous quality follow-up

Live evaluations, 30/90/180-day check-ins and a consolidation plan. If the impact misses the mark, we rework it.

  • NPS, knowledge quizzes and skills self-assessment.
  • Satisfaction guarantee: fully satisfied or free rework.

A simple promise: you don't pay to discover the trainer on day one. Everything is validated upfront, by you.

FAQ

Frequently asked questions

How much does the Training LiteLLM - Optimizing LLM Pipelines in Production training cost?+
The individual price is $5,145 (USD). A detailed quote is sent within one business day.
How long is the Training LiteLLM - Optimizing LLM Pipelines in Production training?+
The training lasts 4 journées, available live online (US time zones) or on-site at your offices.
How is this training paid for?+
Most US teams pay directly through their company (L&D or training budget). We invoice in US dollars and accept bank transfer (ACH/wire) or card, with volume pricing for teams. A purchase order is welcome.
Are there any prerequisites?+
Advanced Python proficiency, experience with LLM APIs (OpenAI, Anthropic), Docker and FastAPI
Is a certificate delivered at the end?+
Yes. A Learni completion certificate is issued, along with the individual evaluation report.
Does Learni provide the equipment?+
No. A computer and stable internet connection are required for the participant. Learni provides the educational platform, the trainer and all course materials.
On-site & remote

This training across cities

Available on-site and remotely. Pick your city to see the local training center.

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