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Training Azure Machine Learning - Deploying AI Models in Production

Ref: NPH254
10 people max.
From $1,470 HT / per person
On-site on request · +$540 with certification exam
1 day
Remote

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Equans
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Ubisoft
Microsoft
Aptar
ArcelorMittal
Equans
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Ubisoft
Microsoft
Aptar
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Learning objectives

  • Master Azure Machine Learning for deploying AI models in professional production environments
  • Develop scalable MLOps pipelines with Azure ML Studio
  • Implement secure and high-performance scoring endpoints
  • Configure monitoring and observability for enterprise models
  • Optimize deployments for reduced costs and high availability
  • Integrate certified AI models into critical business applications
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 mastery of deployment on Azure Machine Learning, 70% of AI models remain unusable, wasting months of R&D and up to 500k€ per project in unnecessary costs.

  • Companies without MLOps see production incidents multiplied by 5, along with 25% e-commerce revenue losses from faulty predictions.

  • In 2026, 82% of AI recruiters require cloud deployment skills, ruling out non-operational profiles.

  • Every quarter without advanced skills leaves your company exposed to competitors who scale their AI solutions 3x faster.

Allan BUSI
Allan BUSI

Learni trainer · AI expert

73%productivity gap
×3cost of inaction

Program

Module 1Azure Machine Learning: Deploying AI Models in Production (MLOps pipelines, endpoints, monitoring)

Dive into Azure ML Studio to create and automate end-to-end training and deployment pipelines using real enterprise datasets, configure scalable compute clusters with GPU/CPU, implement models via REST endpoints secured by Azure AD and Key Vault, test in real-world conditions with A/B testing, deploy a complete ongoing project including monitoring with Application Insights and automatic retraining, produce performance reports and optimization plans for immediate production rollout.

Evaluation method

  • Multiple-choice quiz to validate learning outcomes at the end of the training
  • Continuous assessment through practical exercises on Azure ML
  • Presentation of an AI model deployment in production

Learning method

  • Instructor-led sessions by a certified Azure ML expert trainer
  • Hands-on exercises on real enterprise AI cases
  • Ongoing project for progressive MLOps deployment
  • Comprehensive course materials and online Azure resources

Methods, materials and delivery

The Training Azure Machine Learning - Deploying AI Models 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 Azure Machine Learning - Deploying AI Models 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 Azure Machine Learning - Deploying AI Models 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.

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 Azure Machine Learning - Deploying AI Models in Production training cost?+
The price is $1,470 (USD) per participant. A detailed quote is sent within one business day.
How long is the Training Azure Machine Learning - Deploying AI Models in Production training?+
The training lasts 1 journée, 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?+
Experience in Machine Learning, advanced Python, and Azure fundamentals
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.

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