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Founded by passionate advocates of learning and innovation, Learni set out to make professional training accessible to everyone, everywhere in the world. Our team works in the largest cities such as Paris, Lyon, Marseille, and internationally, to support talents and organizations in their skills development.
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30 free minutes with a training advisor — no commitment.
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Cybersecurity training in Brighton in July 2026 with Learni. Certified, expert trainers, eligible for employer funding. Free quote.
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Cybersecurity training in Sheffield in November 2026 with Learni. Certified, expert trainers, eligible for employer funding. Free quote.
Explore the future of asynchronous communication training for distributed teams. Discover strategies, tools, and trends shaping effective collaboration across time zones by May 2026.
The Training LiteLLM - Orchestrating Multi-Provider LLMs training is delivered in-person or remotely (blended-learning, e-learning, virtual classroom, remote in-person). At Learni, a Qualiopi-certified training organization, each program is designed to maximize skills acquisition, regardless of the training mode chosen.
The trainer alternates between demonstrative, interrogative, and active methods (through practical exercises and/or real-world scenarios). This pedagogical approach ensures concrete and directly applicable learning in the workplace.
To ensure the quality of the Training LiteLLM - Orchestrating Multi-Provider LLMs training, Learni provides the following teaching resources:
For in-house training at a location external to Learni, the client ensures and commits to having all necessary teaching materials (IT equipment, internet connection...) for the proper conduct of the training action in accordance with the prerequisites indicated in the communicated training program.
The assessment of skills acquired during the Training LiteLLM - Orchestrating Multi-Provider LLMs training is carried out through:
Learni is committed to the accessibility of its professional training programs. All our training programs are accessible to people with disabilities. Our teams are available to adapt teaching methods to your specific needs. Do not hesitate to contact us for any accommodation request.
Learni training programs are available for inter-company and intra-company settings, both in-person and remote. Registration is possible up to 48 business hours before the start of training. Our programs are eligible for OPCO, Pôle emploi, and FNE-Formation funding. Contact us to discuss your training project and funding possibilities.
Artificial Intelligence training in San Francisco in October 2026 with Learni. Certified, expert trainers, eligible for employer funding. Free quote.
Artificial Intelligence training in Mesa in September 2026 with Learni. Certified, expert trainers, eligible for employer funding. Free quote.
Artificial Intelligence training in Glasgow in June 2026 with Learni. Certified, expert trainers, eligible for employer funding. Free quote.
Artificial Intelligence training in Raleigh in June 2026 with Learni. Certified, expert trainers, eligible for employer funding. Free quote.
Quick installation of LiteLLM via pip and Docker, YAML configuration to route to OpenAI, Anthropic, and Grok, first unified completion and chat call tests, practical exercises on migrating existing APIs, creation of a simple proxy connected to your enterprise codebase, validation of standardized responses and basic logging for professional traceability.
Implementation of weighted load balancing across multiple API keys, intelligent fallbacks with exponential retries, activation of Redis caching to reduce latencies by 70%, real enterprise cases on traffic spikes, cost optimization via per-provider budget tracking, collaborative exercises to simulate real failures and generate actionable performance metrics.
Seamless integration of LiteLLM into LangChain for complex chains and autonomous agents, exposure via FastAPI with secure endpoints and rate limiting, addition of middleware for structured logging and OpenTelemetry tracing, practical projects on scalable RAG, connection to Prometheus/Grafana for real-time dashboards, development of a complete enterprise API with unit tests and professional LLM flow validation.
Advanced containerization with Docker Compose and Helm for Kubernetes, securing keys via Vault and RBAC, performance tuning for latencies under 200ms, monitoring with Slack/Teams alerts on 4xx/5xx errors, horizontal scaling exercises on simulated cluster, full security audit and cost optimization plan for up to 50% savings, delivery of a production-ready certified deployment.
Target audience
AI Engineers, backend developers, and cloud architects for professional skill development
Prerequisites
Advanced proficiency in Python, LLM APIs (OpenAI, Anthropic), Docker, and FastAPI
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