Training Azure Machine Learning - Deploying Cloud AI Models

$2,310

  • 2 days
  • Onsite
  • 10 people max.
Ref: AUX626
10 people max.
$2,310
In-company rate: from $4,190 for the whole team
On-site and certification exam on quote
2 days
Onsite

Don't let this gap widen

Why this program matters

  • Companies that ignore Azure Machine Learning lose an average of 25% productivity on their data projects.

  • According to a recent study, 70% of organizations are already adopting cloud AI to stay competitive.

  • Not mastering these skills leaves you with a lasting technological lag and limits career opportunities.

  • Professionals without certified training see their advancement prospects shrink against rising market demand.

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 the Azure Machine Learning environment for professional projects
  • Develop skills in data preparation and AI model creation
  • Design machine learning workflows tailored to business needs
  • Implement simple and secure cloud model deployments
  • Optimize the use of Prompt Engineering in Azure solutions
  • Integrate certification practices to enhance training outcomes

Program

Azure Machine Learning curriculum: 2 modules over 2 days

Module 1 : Theme: Introduction to Azure Machine Learning and Data Preparation (Azure Portal, datasets, Python notebooks)

Participants explore the Azure Machine Learning Studio interface, import real datasets, and perform practical exercises in cleaning and exploration. They learn to create notebooks, version data, and configure computing environments. The day alternates between demonstrations and hands-on workshops to establish machine learning fundamentals in a business context.

Module 2 : Theme: Training Azure Machine Learning Models and Deployment (AutoML, endpoints, monitoring)

Learners train their first models with AutoML, compare performances, and deploy an accessible prediction endpoint. They integrate Prompt Engineering techniques to refine results and complete a full business use case. The training concludes with best practices for monitoring and governance of models in production.

How Azure Machine Learning skills are assessed

  • Interactive quizzes at the end of each module
  • Practical exercises on a real business case
  • Self-assessment of skills and personal action plan

How the Azure Machine Learning course is taught

  • Hands-on workshops on Azure Portal and notebooks
  • Case studies adapted to professional contexts
  • Collaborative work in small groups of maximum 10 participants
  • Reusable resources and templates after the training

Azure Machine Learning training: access and practical arrangements

The Training Azure Machine Learning - Deploying Cloud AI Models 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 Cloud AI Models 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 Cloud AI Models 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 Portal, datasets, python notebooks, autoML, endpoints and monitoring. 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 the Azure Machine Learning environment for professional projects, develop skills in data preparation and AI model creation and design machine learning workflows tailored to business needs. Those are the stated objectives of the Azure Machine Learning program at Beginner level, checked by the end-of-session assessment.
What does the Azure Machine Learning program cover, day by day?+
Day 1: Theme: Introduction to Azure Machine Learning and Data Preparation (Azure Portal, datasets, Python notebooks). Day 2: Theme: Training Azure Machine Learning Models and Deployment (AutoML, endpoints, monitoring). The Azure Machine Learning program runs over 2 days, delivered on site.
How is Azure Machine Learning training assessed?+
Assessment relies on interactive quizzes at the end of each module, practical exercises on a real business case and self-assessment of skills and personal action plan. 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 $2,310 per participant. For an in-company team, the flat rate starts at $4,190 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?+
Basic computer knowledge, daily use of spreadsheets and familiarity with simple data concepts.
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.
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