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.
Describe your need, get a tailored program and a pre-filled quote in 3 min. A 100% free call with an advisor.
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
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.
Dive into advanced LiteLLM installation via Docker Compose and Helm for Kubernetes, configure custom virtual keys for fine-grained multi-team access management, integrate test environments with real providers like OpenAI and Anthropic, perform practical exercises on migrating an existing proxy, produce a production-ready setup with secrets management via Vault, and validate through a secure configuration audit that immediately enhances your LLM deployments.
Explore LiteLLM's intelligent routing to dispatch requests to OpenAI, Grok, Claude with dynamic priorities, implement weighted load balancing and automatic fallbacks in case of downtime, test on real enterprise cases with traffic spikes, develop custom rules via YAML and Python callbacks, generate routing reports to optimize costs, and deploy a unified proxy that reduces latencies by 40% in your critical AI applications.
Install Prometheus, Grafana, and OpenTelemetry in LiteLLM for real-time monitoring of consumed tokens, provider latencies, and errors, configure customized dashboards for budget alerts, analyze structured logs with ELK stack on massive workloads, practice trace correlation for complex debugging, produce deliverables like LLM SLOs and weekly reports, transforming your data into actionable insights that save thousands of euros on hidden overcosts.
Strengthen LiteLLM with distributed Redis rate limiting, semantic caching for recurrent responses, and budgets per virtual key to control spending by team, implement JWT auth and WAF rules against LLM injections, test abuse scenarios on exposed APIs, optimize prompts via automatic compression, generate cost forecasts based on history, and deploy a system that halves your provider bills while boosting the resilience of your professional AI services.
Master horizontal scaling of LiteLLM on Kubernetes with HPA and autoscaling metrics, integrate GitHub Actions for automated CI/CD of configs, explore expert cases like multi-tenancy and hybrid cloud providers, complete a full red thread project for an enterprise LLM API, perform stress tests with Locust for 10k req/s, produce custom Helm charts and ops docs, and conclude with a peer review that prepares your teams for zero-downtime deployments in real production.
The Training LiteLLM - Orchestrating Multi-Provider LLMs 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.
For the smooth delivery of the Training LiteLLM - Orchestrating Multi-Provider LLMs in Production program, the following equipment is required:
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.
Assessment of skills acquired during the Training LiteLLM - Orchestrating Multi-Provider LLMs in Production program is performed through:
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.
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.
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.
Each trainer is validated on three criteria: hands-on field expertise, proven pedagogy and alignment with your industry.
30-minute video call between you and the selected trainer to validate the fit, adjust content and clear any final doubts.
No recycled slides. The syllabus is reworked from your real cases: tools, constraints, vocabulary, ongoing projects.
Live evaluations, 30/90/180-day check-ins and a consolidation plan. If the impact misses the mark, we rework it.
A simple promise: you don't pay to discover the trainer on day one. Everything is validated upfront, by you.
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Graphic DesignIndustry-certifiedAvailable on-site and remotely. Pick your city to see the local training center.
30 minutes with a learning advisor. No commitment. No sales pitch dressed up as a demo.