Training Azure Machine Learning - Deploying AI Models

$4,620

  • 4 days
  • Onsite
  • 10 people max.
Ref: KKY113
10 people max.
$4,620
In-company rate: from $7,865 for the whole team
On-site and certification exam on quote
4 days
Onsite

Don't let this gap widen

Why this program matters

  • Companies that neglect Azure Machine Learning lose competitiveness to more agile rivals.

  • According to a recent study, 67 % of AI projects fail due to a lack of internal skills.

  • Employees without suitable training see their employability drop rapidly in a rapidly changing market.

  • Failing to invest now exposes the company to costly delays and accelerated technological obsolescence.

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 projects in a company.
  • Develop skills in creating predictive models with cloud tools.
  • Design data pipelines adapted to the needs of certification training.
  • Implement AI solutions to optimize business processes.
  • Optimize machine learning workflows in a business context.
  • Integrate prompt engineering practices to improve AI results.

Program

Azure Machine Learning curriculum: 4 modules over 4 days

Module 1 : Theme: Discovering Azure Machine Learning cloud services (Azure ML Studio, datasets, workspaces)

Participants discover the Azure Machine Learning environment and its key features. They explore Azure ML Studio, create workspaces and import real datasets. Practical exercises guide the initial setup and navigation of the interface. The day ends with the preparation of a first workspace ready for analysis.

Module 2 : Theme: Azure Machine Learning data preparation and first models (Azure Data Prep, AutoML)

This day focuses on cleaning and transforming data with the integrated tools. Learners use AutoML to quickly generate baseline models. Real business cases illustrate the feature selection steps. They deliver a documented notebook with initial prediction results.

Module 3 : Theme: Azure Machine Learning model training and evaluation (Notebooks, metrics, Deep Learning)

Participants train advanced models using Python notebooks. They compare performance using appropriate metrics and incorporate Deep Learning approaches. Practical exercises on real datasets strengthen skills. Each participant produces a complete and actionable evaluation report.

Module 4 : Theme: Azure Machine Learning deployment and optimization (Endpoints, MLOps, Prompt Engineering)

The final day covers deploying models to production via secure endpoints. Learners discover MLOps best practices and integrate prompt engineering to refine results. Business scenarios allow testing of the rollout. They finalize a ready-to-use deliverable for their organization.

How Azure Machine Learning skills are assessed

  • Daily quizzes to validate learning
  • Final group project with presentation
  • Self-assessment of acquired skills

How the Azure Machine Learning course is taught

  • Practical workshops on Azure ML Studio
  • Real-world business case studies
  • Hands-on exercises in pairs
  • Personalized trainer feedback

Azure Machine Learning training: access and practical arrangements

The Training Azure Machine Learning - Deploying 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 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 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 ML Studio, datasets, workspaces, azure Data Prep, autoML and notebooks. Those tools come from the Azure Machine Learning program itself, delivered on site over 4 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 projects in a company, develop skills in creating predictive models with cloud tools and design data pipelines adapted to the needs of certification training. 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: Discovering Azure Machine Learning cloud services (Azure ML Studio, datasets, workspaces). Day 2: Theme: Azure Machine Learning data preparation and first models (Azure Data Prep, AutoML). Day 3: Theme: Azure Machine Learning model training and evaluation (Notebooks, metrics, Deep Learning). Day 4: Theme: Azure Machine Learning deployment and optimization (Endpoints, MLOps, Prompt Engineering). The Azure Machine Learning program runs over 4 days, delivered on site.
How is Azure Machine Learning training assessed?+
Assessment relies on daily quizzes to validate learning, final group project with presentation 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 $4,620 per participant. For an in-company team, the flat rate starts at $7,865 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?+
4 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 knowledge of computer science, regular use of Azure and basic notions of data.
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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