Training Azure OpenAI Service - Mastering AI in Production

$1,155

  • 1 day
  • Onsite
  • 10 people max.
Ref: ZCZ861
10 people max.
$1,155
In-company rate: from $2,195 for the whole team
On-site and certification exam on quote
1 day
Onsite

Don't let this gap widen

Why this program matters

  • Companies that fail to master Azure OpenAI Service lose an average of 25% productivity on cognitive tasks according to a McKinsey 2024 study.

  • Data scientists and architects without these skills see their projects stalled by runaway costs or security breaches.

  • In a market where 60% of competitors are already adopting generative AI, technical lag directly threatens careers and organizational competitiveness.

  • Acting now avoids these concrete risks.

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

40,843 programs · 25 countries

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

Every program built with a dedicated engineer

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

Azure OpenAI Service training objectives

  • Master expert configuration of Azure OpenAI Service for professional projects
  • Develop advanced skills in prompt engineering and fine-tuning
  • Design secure and scalable architectures integrating generative AI
  • Optimize costs and performance of models in enterprise
  • Implement certifying solutions compliant with GDPR standards
  • Deploy concrete use cases with monitoring and governance

Azure OpenAI Service curriculum: 1 module over 1 day

Module 1 : Theme: Expert Mastery of Azure OpenAI Service (Python SDK, fine-tuning, Azure monitoring)

Participants explore in depth the capabilities of Azure OpenAI Service through intensive practical exercises. They configure secure deployments, perform fine-tuning on GPT models, integrate Python SDKs, and set up monitoring with Azure Monitor. Real business cases allow designing advanced RAG flows and optimizing costs. Each learner leaves with a deliverable ready for production deployment including governance and compliance.

How Azure OpenAI Service skills are assessed

  • Final technical quiz on advanced concepts
  • Evaluated practical deployment project
  • Self-assessment of acquired skills

How the Azure OpenAI Service course is taught

  • Detailed course materials provided
  • Access to Azure environments for 30 days
  • Practical exercises and business cases
  • Prompt templates and reusable scripts

Azure OpenAI Service training: access and practical arrangements

The Training Azure OpenAI Service - Mastering AI 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 OpenAI Service - Mastering AI 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 OpenAI Service - Mastering AI 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.

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 OpenAI Service 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 OpenAI Service: frequently asked questions

Which tools are used in Azure OpenAI Service training?+
Hands-on work runs on python SDK, fine-tuning and azure monitoring. Those tools come from the Azure OpenAI Service program itself, delivered on site over 1 day, so participants practise on the stack they will use at work.
What can participants do after Azure OpenAI Service training?+
They can master expert configuration of Azure OpenAI Service for professional projects, develop advanced skills in prompt engineering and fine-tuning and design secure and scalable architectures integrating generative AI. Those are the stated objectives of the Azure OpenAI Service program at Expert level, checked by the end-of-session assessment.
How is Azure OpenAI Service training assessed?+
Assessment relies on final technical quiz on advanced concepts, evaluated practical deployment project and self-assessment of acquired skills. Learni issues a completion certificate together with the individual assessment report at the end of the Azure OpenAI Service program, which an L&D team can file as evidence.
How much does Azure OpenAI Service training cost per participant?+
Azure OpenAI Service training costs $1,155 per participant. For an in-company team, the flat rate starts at $2,195 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 OpenAI Service training take?+
1 day, 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 OpenAI Service 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 OpenAI Service training?+
Confirmed experience with Azure Portal, mastery of REST APIs and advanced machine learning concepts, practice with cloud deployments.
Is a certificate issued after Azure OpenAI Service 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 OpenAI Service 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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