Built for US teams
Payment by wire transferEnhanced confidentialityPerfect for companies with 50 to 500 employeesScheduling to fit any time zone

1 seat held for the next session

30:00Held for another

Request a call back and an advisor reaches you within 24 business hours, Monday to Saturday.

Training MLflow - Optimize ML Supply Chain Pipelines

Ref: WRJ933
10 people max.
From $3,675 HT / per person
On-site on request · +$540 with certification exam
3 days
Remote

Share in 2 clicks

Trusted by — schools, companies and industrial groups
Aptar
ArcelorMittal
Equans
EDF
Ubisoft
Microsoft
Aptar
ArcelorMittal
Equans
EDF
Ubisoft
Microsoft
Aptar
ArcelorMittal
Equans
EDF
Ubisoft
Microsoft
Aptar
ArcelorMittal
Equans
EDF
Ubisoft
Microsoft
Aptar
ArcelorMittal
Equans
EDF
Ubisoft
Microsoft
Aptar
ArcelorMittal
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
OpenAI
Anthropic
Mistral AI
NVIDIA
Google
Amazon Web Services
Microsoft Dynamics 365
Salesforce
ServiceNow

Learning objectives

  • Master MLflow for tracking ML experiments in professional logistics
  • Develop reproducible pipelines optimizing enterprise demand forecasting
  • Design scalable ML models for certified supply chain
  • Implement advanced metrics tracking in expert training
  • Optimize MLflow model deployment in production logistics environments
  • Deploy MLOps skills to reduce transport and inventory costs
  • Integrate MLflow into existing supply chain workflows
A child walking to school with a backpack
Our social commitment

A school kit donated to a child for every training

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

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 MLflow, 70% of ML supply chain projects fail on reproducibility, causing delivery delays of up to 25% according to Gartner.

  • Costs explode from manual model recoding, while inventory losses approach 12% of annual revenue in logistics.

  • Careers stagnate as managers risk falling behind data-driven competitors.

  • Master expert-level MLflow to secure pipelines, boost ROI 30%, and advance your professional expertise.

Allan BUSI
Allan BUSI

Learni trainer · AI expert

73%productivity gap
×3cost of inaction

Program

Module 1MLflow Fundamentals: Experiment Tracking and UI (Python, Model Logging)

Discover MLflow through quick installation in a Python virtual environment, configure a tracking server to log hyperparameters and demand forecasting metrics, practice exercises on real supply chain datasets such as seasonal stock optimization, explore the intuitive UI to visualize runs and compare model performances, generate first automated reports, integrate Git for versioning experiments in logistics teams.

Module 2MLflow Pipelines: Advanced Models and Reproducibility (MLflow Projects, Recipes)

Build complete MLflow pipelines with Projects to encapsulate training code on road transport data, apply standardized Recipes optimizing hyperparameters via integrated Optuna, test reproducibility on multi-node Docker clusters simulating distributed supply chain, analyze model artifacts via centralized registry, implement concrete stock outage forecasting case reducing losses by 15%, produce deployable scripts for production teams.

Module 3MLflow Production: Deployment and Monitoring (Model Serving, Custom Metrics)

Deploy MLflow models in scalable REST API serving for logistics ERP integration, configure custom metrics monitoring alerting on forecast drifts in flows, integrate Kubernetes for auto-scaling during seasonal supply chain peaks, simulate A/B testing of optimized routes via MLflow, evaluate ROI via linked Grafana dashboards, finalize capstone project with deliverable end-to-end MLOps architecture, prepare for expert skills certification.

Evaluation method

  • Final MLflow supply chain pipeline project evaluated by experts
  • Advanced MLOps quizzes and logistics practical cases
  • Qualiopi attestation of deployed competencies

Learning method

  • 100% hands-on with real supply chain datasets
  • Hands-on MLflow exercises in interactive remote format
  • Case studies of optimized logistics companies
  • Individual mentor support for professional projects

Methods, materials and delivery

The Training MLflow - Optimize ML Supply Chain Pipelines 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 - Optimize ML Supply Chain Pipelines 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 - Optimize ML Supply Chain Pipelines 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 MLflow - Optimize ML Supply Chain Pipelines training cost?+
The price is $3,675 (USD) per participant. A detailed quote is sent within one business day.
How long is the Training MLflow - Optimize ML Supply Chain Pipelines training?+
The training lasts 3 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 proficiency in Python and ML, experience with supply chain data projects, knowledge of TensorFlow/PyTorch, basics of Git and Docker
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.

Your professional training, anywhere

Let's build
your next
program.

30 minutes with a learning advisor. No commitment. No sales pitch dressed up as a demo.

Reply within 24h · Vetted experts · USD invoicing · W-9 available