Training LiteLLM - Optimizing LLM Pipelines in Production

$4,620

  • 4 days
  • Onsite
  • 10 people max.
Ref: DAL901
10 people max.
$4,620
In-company rate: from $7,865 for the whole team
On-site and certification exam on quote
4 days
Onsite

Don't let this gap widen

Why this program matters

  • Without LiteLLM, AI teams waste 50% of their API budget on redundant calls and provider failures, with latencies multiplied by 3 causing 25% user abandonment on chatbots.

  • In 2026, 68% of enterprise LLM incidents stem from the absence of a unified proxy, costing an average of 150k€ per major downtime.

  • Untrained developers stagnate while competitors scale 4x faster.

  • Every quarter without LiteLLM skills exposes your firm to irreversible competitive losses.

Allan BUSI, Learni trainer · AI expert
Allan BUSI

Learni trainer · AI expert

73%productivity gap
×3cost of inaction
Flag of the United StatesBuilt for US teams
Payment by wire transferEnhanced confidentialityPerfect for companies with 50 to 500 employeesScheduling to fit any time zone

Trusted by — schools, companies and industrial groups

40,844 programs · 25 countries

  • Aptar
  • ArcelorMittal
  • Equans
  • EDF
  • Ubisoft
  • Microsoft

Every program built with a dedicated engineer

  • OpenAI
  • Anthropic
  • Mistral AI
  • NVIDIA
  • Google
  • Amazon Web Services
  • Microsoft Dynamics 365
  • Salesforce
  • ServiceNow
  • SAP
  • Oracle
  • Cisco
  • Fortinet
  • Palo Alto Networks
  • Aruba
  • VMware
  • Red Hat
  • Databricks
  • Snowflake
  • OVHcloud
  • Notion
  • AMD
  • Apple

Companies: Aptar, ArcelorMittal, Equans, EDF, Ubisoft and Microsoft.

LiteLLM training 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

LiteLLM curriculum: 4 modules over 4 days

Module 1 : LiteLLM: 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 2 : LiteLLM: 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 3 : LiteLLM: 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 4 : LiteLLM: 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.

How LiteLLM skills are assessed

  • 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

How the LiteLLM course is taught

  • 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

LiteLLM training: access and practical arrangements

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.

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.

Our method

How Learni guarantees the quality of your LiteLLM training

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.

A child walking to school with a backpack
Our social commitment

A school kit donated to a child for every training booked

To fight inequalities in access to education, Learni donates a complete school kit to a child in need for every training booked. You build your skills, a child heads back to school.

  • Backpack, notebooks and essential supplies
  • Distributed through our partner charities
  • Included, at no extra cost to you
Enroll and offer a kit
FAQ

LiteLLM: frequently asked questions

Which tools are used in LiteLLM training?+
Hands-on work runs on YAML config, python SDK, unit tests, custom rules, virtual keys and scaling. Those tools come from the LiteLLM program itself, delivered on site over 4 days, so participants practise on the stack they will use at work.
What can participants do after LiteLLM training?+
They can master LiteLLM to integrate multiple LLM providers in an enterprise setting, develop scalable and resilient LLM pipelines in production and implement advanced routing and load balancing with LiteLLM. Those are the stated objectives of the LiteLLM program at Advanced level, checked by the end-of-session assessment.
What does the LiteLLM program cover, day by day?+
Day 1: LiteLLM: Advanced Architecture and Multi-Providers (YAML config, Python SDK, unit tests). Day 2: LiteLLM: Intelligent Routing and Load Balancing (custom rules, virtual keys, scaling). Day 3: LiteLLM: Observability and Security (Prometheus, tracing, rate limiting, virtual keys). Day 4: LiteLLM: Production Deployment and 2026 Optimization (serverless, CI/CD, model tuning). The LiteLLM program runs over 4 days, delivered on site.
How is LiteLLM training assessed?+
Assessment relies on multiple-choice quiz to validate learning outcomes at the end of the training, continuous assessment through practical exercises and defense of the red thread project in front of the trainer. Learni issues a completion certificate together with the individual assessment report at the end of the LiteLLM program, which an L&D team can file as evidence.
How much does LiteLLM training cost per participant?+
LiteLLM training costs $4,620 per participant. For an in-company team, the flat rate starts at $7,865 for the whole group, up to 8 people. The detailed quote, sent within one business day, adjusts the amount to the format and how far the syllabus is tailored to your team.
How long does LiteLLM training take?+
4 days, available live online (US time zones) or on-site at your offices. Half-day tracks spread over several weeks are possible so the team stays operational.
Who pays for LiteLLM training?+
Most US teams pay directly through their company L&D or training budget. Learni invoices in US dollars and accepts bank transfer (ACH/wire) or card, with volume pricing for teams. A purchase order is welcome.
What do participants need to know before LiteLLM training?+
Advanced Python proficiency, experience with LLM APIs (OpenAI, Anthropic), Docker and FastAPI.
Is a certificate issued after LiteLLM training?+
Yes. A Learni completion certificate is issued, along with the individual evaluation report. Learni is a certified training provider and prepares for third-party certifications, but does not award them itself.
Does Learni provide the equipment for LiteLLM training?+
No. A computer and a stable internet connection are required for each participant. Learni provides the learning platform, the trainer and all course materials.
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