Training: Mastering Azure OpenAI: Deploying Generative Artificial Intelligence in the Enterprise

$3,465

  • 3 days
  • Onsite
  • 8 people max.
Ref: BLB512
8 people max.
$3,465
In-company rate: from $6,290 for the whole team
On-site and certification exam on quote
3 days
Onsite

Don't let this gap widen

Why this program matters

  • Without mastery of Azure OpenAI, enterprise generative AI deployments produce critical configuration errors, exposing organizations to security breaches and massive hallucinations.

  • A poor implementation costs an average of 120 000 € per incident, according to Gartner studies, with 70 % of AI projects failing due to lack of advanced cloud expertise.

  • These failures delay innovation initiatives by 6 months on average, threatening the company's competitiveness and IT leaders' careers against agile competitors.

  • Every quarter without solid skills equates to a loss of 15 % of potential market share.

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

40,842 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 OpenAI training objectives

  • Understand Azure OpenAI's positioning within the Microsoft Azure ecosystem
  • Deploy and configure AI models (GPT, DALL-E, Codex) from the Azure portal
  • Integrate generative AI solutions into business applications or web services
  • Perform secure API calls, manage access, and govern AI data
  • Optimize costs and performance of AI deployments in Azure
  • Implement security, compliance, and ethical measures for AI usage

Azure OpenAI curriculum: 3 modules over 3 days

Module 1 : Introduction and Deployment of Azure OpenAI Services

Presentation of available OpenAI models (GPT, DALL-E, Codex) on Azure; differences with the classic OpenAI offering; subscription, configuration, and authentication via the Azure portal; initial deployments and testing of endpoints on simple scenarios.

Module 2 : Integrating Models into Business Applications

Advanced API calls, token management, access governance; creating automation workflows with Logic Apps; integration into .NET, Python, NodeJS applications; user testing and monitoring; customized scenarios for natural language processing, image generation, and software development assistance.

Module 3 : Optimization, Security, and Scaling

Quota and cost optimization, performance management; logs, metrics, and alerts; security best practices for AI and data sovereignty; GDPR compliance, bias management, and AI ethics; sector-specific case studies (HR, finance, support, industry), deployment audit, and personalized action plan for each participating company.

How Azure OpenAI skills are assessed

  • Case study at the end of each module
  • Final demo: implementation of an Azure OpenAI application meeting business requirements

How the Azure OpenAI course is taught

  • Interactive videoconference courses
  • Guided exercises and collaborative workshops
  • Access to Azure OpenAI labs for hands-on experiments
  • Training materials and implementation guides

Azure OpenAI training: access and practical arrangements

The Training: Mastering Azure OpenAI: Deploying Generative Artificial Intelligence in the Enterprise 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: Mastering Azure OpenAI: Deploying Generative Artificial Intelligence in the Enterprise 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: Mastering Azure OpenAI: Deploying Generative Artificial Intelligence in the Enterprise 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 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: frequently asked questions

What can participants do after Training: Mastering Azure OpenAI: Deploying Generative Artificial Intelligence in the Enterprise training?+
They can understand Azure OpenAI's positioning within the Microsoft Azure ecosystem, deploy and configure AI models (GPT, DALL-E, Codex) from the Azure portal and integrate generative AI solutions into business applications or web services. Those are the stated objectives of the Training: Mastering Azure OpenAI: Deploying Generative Artificial Intelligence in the Enterprise program at Advanced level, checked by the end-of-session assessment.
What does the Training: Mastering Azure OpenAI: Deploying Generative Artificial Intelligence in the Enterprise program cover, day by day?+
Day 1: Introduction and Deployment of Azure OpenAI Services. Day 2: Integrating Models into Business Applications. Day 3: Optimization, Security, and Scaling. The Training: Mastering Azure OpenAI: Deploying Generative Artificial Intelligence in the Enterprise program runs over 3 days, delivered on site.
How is Training: Mastering Azure OpenAI: Deploying Generative Artificial Intelligence in the Enterprise training assessed?+
Assessment relies on case study at the end of each module and final demo: implementation of an Azure OpenAI application meeting business requirements. Learni issues a completion certificate together with the individual assessment report at the end of the Training: Mastering Azure OpenAI: Deploying Generative Artificial Intelligence in the Enterprise program, which an L&D team can file as evidence.
How much does Training: Mastering Azure OpenAI: Deploying Generative Artificial Intelligence in the Enterprise training cost per participant?+
Training: Mastering Azure OpenAI: Deploying Generative Artificial Intelligence in the Enterprise training costs $3,465 per participant. For an in-company team, the flat rate starts at $6,290 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 Training: Mastering Azure OpenAI: Deploying Generative Artificial Intelligence in the Enterprise training take?+
3 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 Training: Mastering Azure OpenAI: Deploying Generative Artificial Intelligence in the Enterprise 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 Training: Mastering Azure OpenAI: Deploying Generative Artificial Intelligence in the Enterprise training?+
Mastery of Azure cloud fundamentals and experience in development or data handling.
Is a certificate issued after Training: Mastering Azure OpenAI: Deploying Generative Artificial Intelligence in the Enterprise 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 Training: Mastering Azure OpenAI: Deploying Generative Artificial Intelligence in the Enterprise 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 OpenAI 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 OpenAI training in your city

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

Share in 2 clicks