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.
Training MLflow for LLM - Model Tracking and Serving
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Every program built with a dedicated engineer
Companies: Aptar, ArcelorMittal, Equans, EDF, Ubisoft, Microsoft and Atos.
MLflow for LLM training objectives
- Master MLflow for LLM in production pipelines
- Configure experiment tracking and model registry for LLMs
- Deploy serving endpoints with MLflow Model Serving
- Implement drift monitoring and automated alerts
- Audit existing pipelines and correct common versioning errors
- Optimize workflows for multi-project teams
Program
MLflow for LLM curriculum: 3 modules over 3 days
Module 1 : Theme: MLflow for LLM - tracking and registry (MLflow 2.11, experiments, artifacts)
Participants install MLflow and configure a centralized tracking server. They log runs on Llama and Mistral models, manage artifacts and metadata. Practical exercises on a fine-tuning case with prompt and metric comparison. Deliverable: first traceable exported project.
Module 2 : Theme: MLflow for LLM - model serving and deployment (MLflow serving, Docker, Kubernetes)
Build model registry and deploy REST endpoints with MLflow. Integrate containers and perform load tests on LLMs. Reuse of Day 1 artifacts. Real-world case: production deployment of a business assistant with rollback capability. Deliverable: functional endpoint and deployment scripts.
View this trainingTraining Feature Store (Feast) 2026 - Mastering Advanced ML PipelinesModule 3 : Theme: MLflow for LLM - drift monitoring and optimization (Prometheus, Evidently, alerts)
Set up drift monitoring on LLM outputs with quantified thresholds. Create dashboards and alert workflows. Audit an existing pipeline and correct versioning errors. Final deliverable: complete pipeline with active monitoring and audit report.
How MLflow for LLM skills are assessed
- MCQ validating MLOps concepts
- Review of the deployed serving deliverable
- Oral presentation of the final pipeline
How the MLflow for LLM course is taught
- Hands-on workshops on real business cases
- Guided pair work on MLflow
- Continuous corrective feedback from the trainer
- Documentation of deliverables provided
MLflow for LLM training: access and practical arrangements
The Training MLflow for LLM - Model Tracking and Serving 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 MLflow for LLM - Model Tracking and Serving 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 MLflow for LLM - Model Tracking and Serving 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 MLflow for LLM 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.
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.
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.
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.
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
FAQ
MLflow for LLM: frequently asked questions
Which tools are used in MLflow for LLM training?+
Hands-on work runs on MLflow 2.11, experiments, artifacts, MLflow serving, docker and kubernetes. Those tools come from the MLflow for LLM program itself, delivered on site over 3 days, so participants practise on the stack they will use at work.
What can participants do after MLflow for LLM training?+
They can master MLflow for LLM in production pipelines, configure experiment tracking and model registry for LLMs and deploy serving endpoints with MLflow Model Serving. Those are the stated objectives of the MLflow for LLM program at Intermediate level, checked by the end-of-session assessment.
What does the MLflow for LLM program cover, day by day?+
Day 1: Theme: MLflow for LLM - tracking and registry (MLflow 2.11, experiments, artifacts). Day 2: Theme: MLflow for LLM - model serving and deployment (MLflow serving, Docker, Kubernetes). Day 3: Theme: MLflow for LLM - drift monitoring and optimization (Prometheus, Evidently, alerts). The MLflow for LLM program runs over 3 days, delivered on site.
How is MLflow for LLM training assessed?+
Assessment relies on MCQ validating MLOps concepts, review of the deployed serving deliverable and oral presentation of the final pipeline. Learni issues a completion certificate together with the individual assessment report at the end of the MLflow for LLM program, which an L&D team can file as evidence.
How much does MLflow for LLM training cost per participant?+
MLflow for LLM training costs $3,465 per participant. For an in-company team, the flat rate starts at $6,290 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 MLflow for LLM training take?+
3 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 MLflow for LLM 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 MLflow for LLM training?+
Proficiency in Python, basics of MLflow and experience with LLM frameworks such as Hugging Face or LangChain.
Is a certificate issued after MLflow for LLM 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 MLflow for LLM 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.
Your professional training, anywhere
Let's build your MLflow for LLM learning path.
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