Training Azure Machine Learning - Optimize Your AI Pipelines

Specialist course · Minimum level required

$3,150

  • 2 days
  • Onsite
  • 10 people max.
Ref: EVY375
10 people max.
$3,150
In-company rate: from $5,723 for the whole teamExpertise rate: $1,575 per day, reflecting the difficulty level
On-site and certification exam on quote
2 days
Onsite

Don't let this gap widen

Why this program matters

  • Companies that fail to master Azure Machine Learning lose an average of 35% productivity on their AI projects according to Gartner.

  • Data scientists then spend weeks managing infrastructure instead of innovating, driving costs up 40%.

  • Without these advanced skills, teams risk obsolescence against competitors and see talent leave for better-equipped organizations.

  • Acting now prevents this strategic lag.

Allan BUSI, Learni trainer · AI expert
Allan BUSI

Learni trainer · AI expert

73%productivity gap
×3cost of inaction
Flag of the United StatesBuilt for US teams
Payment by wire transferEnhanced confidentialityPerfect for companies with 50 to 500 employeesScheduling to fit any time zone

Trusted by — schools, companies and industrial groups

41,059 programs · 25 countries

  • Aptar
  • ArcelorMittal
  • Equans
  • EDF
  • Ubisoft
  • Microsoft

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

Companies: Aptar, ArcelorMittal, Equans, EDF, Ubisoft and Microsoft.

Azure Machine Learning training objectives

  • Master Azure Machine Learning for professional use cases
  • Develop advanced MLOps skills within the enterprise
  • Design optimized certified training pipelines
  • Deploy scalable models in production
  • Implement AI monitoring and governance strategies
  • Optimize costs and performance of machine learning workflows

Program

Azure Machine Learning curriculum: 2 modules over 2 days

Module 1 : Theme: Azure ML Studio and Advanced Data Preparation (Azure ML, AutoML, Feature Store, versioned dataset deliverables)

The participants explore Azure Machine Learning Studio to create secure workspaces, configure compute clusters, and use AutoML for rapid benchmarks. They apply the Feature Store to standardize variables, perform practical exercises on real datasets, and deliver a data preparation pipeline ready for production.

Module 2 : Theme: MLOps Deployment and Model Monitoring (Azure ML Pipelines, Kubernetes, Model Monitor, deployed endpoint deliverables)

The day focuses on creating complete MLOps pipelines with Azure ML Pipelines, deploying models on Azure Kubernetes Service, and setting up continuous monitoring. Learners work on real business cases, integrate automated tests, and produce a scalable endpoint with a performance dashboard.

How Azure Machine Learning skills are assessed

  • Final quiz on Azure ML concepts
  • Practical project of a complete pipeline
  • Self-assessment of acquired skills

How the Azure Machine Learning course is taught

  • Access to the Azure platform for 30 days
  • Resources and notebooks provided
  • Post-training technical support
  • Certificate of attendance

Azure Machine Learning training: access and practical arrangements

The Training Azure Machine Learning - Optimize Your AI 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 Azure Machine Learning - Optimize Your AI 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 Azure Machine Learning - Optimize Your AI 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.

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 Azure Machine Learning 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.

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.

A child walking to school with a backpack
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
Enroll and offer a kit
FAQ

Azure Machine Learning: frequently asked questions

Which tools are used in Azure Machine Learning training?+
Hands-on work runs on azure ML, autoML, feature Store, versioned dataset deliverables, azure ML Pipelines and kubernetes. Those tools come from the Azure Machine Learning program itself, delivered on site over 2 days, so participants practise on the stack they will use at work.
What can participants do after Azure Machine Learning training?+
They can master Azure Machine Learning for professional use cases, develop advanced MLOps skills within the enterprise and design optimized certified training pipelines. Those are the stated objectives of the Azure Machine Learning program at Advanced level, checked by the end-of-session assessment.
What does the Azure Machine Learning program cover, day by day?+
Day 1: Theme: Azure ML Studio and Advanced Data Preparation (Azure ML, AutoML, Feature Store, versioned dataset deliverables). Day 2: Theme: MLOps Deployment and Model Monitoring (Azure ML Pipelines, Kubernetes, Model Monitor, deployed endpoint deliverables). The Azure Machine Learning program runs over 2 days, delivered on site.
How is Azure Machine Learning training assessed?+
Assessment relies on final quiz on Azure ML concepts, practical project of a complete pipeline and self-assessment of acquired skills. Learni issues a completion certificate together with the individual assessment report at the end of the Azure Machine Learning program, which an L&D team can file as evidence.
How much does Azure Machine Learning training cost per participant?+
Azure Machine Learning training costs $3,150 per participant. For an in-company team, the flat rate starts at $5,723 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 Azure Machine Learning training take?+
2 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 Azure Machine Learning 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 Azure Machine Learning training?+
Proficiency in Python, experience in machine learning, and basic knowledge of Azure.
Is a certificate issued after Azure Machine Learning 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 Azure Machine Learning 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 Azure Machine Learning learning path.

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
On-site & remote

Azure Machine Learning training in your city

Available on-site and remotely. Pick your city to see the local training center.

Share in 2 clicks