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Training Azure OpenAI Service 2026 - Deploying Scalable Generative AI

Ref: JBG745
10 people max.
From $3,465 HT / per person
Group rate: $8,663 (team / on-site)
Pay in 3 installments · On-site on request · +$540 with certification exam
3 days
Remote

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

Learning objectives

  • Master the advanced APIs of Azure OpenAI Service 2026 for scalable professional applications.
  • Develop custom fine-tuning pipelines to enhance certifiable AI skills.
  • Deploy secure and optimized AI solutions in hybrid enterprise environments.
  • Configure advanced embeddings and RAG for high-performance semantic search.
  • Optimize costs and performance with Azure monitoring for maximum ROI.
  • Implement GDPR-compliant AI governance in certified professional training.

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.

Don't let this gap widen

Why this program matters

  • Without this upskilling, your team accumulates a technological gap that translates directly into productivity loss.

  • Organizations that don't train their talents on key topics see their competitiveness drop.

  • Every quarter without training is a gap widening with competitors who invest.

  • The cost of inaction quickly exceeds that of well-targeted training.

Imed BEN AMOR
Imed BEN AMOR

Learni trainer · Development expert

73%productivity gap
×3cost of inaction

Program

Module 1Azure OpenAI Service 2026 Architecture: Scaling and High Availability Deployment (Python SDK, REST APIs, Azure ML Studio)

Discover elastic clusters and multi-region setups for Azure OpenAI Service 2026, configure custom endpoints with AAD authentication, implement dynamic quotas via Azure Monitor, perform practical exercises in automated provisioning with Terraform, test resilience with chaos engineering, produce a production-ready enterprise architecture diagram, consolidate your certifiable professional cloud AI skills.

Module 2Fine-Tuning Azure OpenAI Service 2026: Custom Models and Advanced RAG (LoRA, Proprietary Datasets, Vector Stores)

Dive into efficient fine-tuning with PEFT and LoRA on large enterprise datasets, integrate Retrieval-Augmented Generation with Azure Cognitive Search and Pinecone, optimize chained prompts for autonomous AI agents, conduct comparative benchmarks on GPT-4o and 2026 models, develop a custom virtual assistant through practical workshops, generate automated evaluation metrics, acquire expert skills for certifiable professional AI projects.

Module 3Optimization and Governance for Azure OpenAI Service 2026: Security, Costs, and Monitoring (Azure Sentinel, Cost Management, Guardrails)

Master cost management with predictive budgets and spot instances, deploy guardrails for sensitive content and jailbreak prevention, configure advanced logging with Azure Sentinel for GDPR-compliant audits, simulate attacks and remediations live, integrate with Power BI for real-time KPI dashboards, finalize a comprehensive governance plan as a project deliverable, strengthen your expertise in certified enterprise AI training.

Evaluation method

  • Advanced technical MCQ on APIs and fine-tuning (80% success required).
  • Real case study: deployment of a scalable AI agent in groups.
  • Final individual project: optimized RAG pipeline with report and live demo.

Learning method

  • Practical projects on real business cases with authentic datasets.
  • Hands-on workshops in small groups for immediate feedback.
  • 3-month post-training support via dedicated platform.
  • Unlimited access to Azure labs and certifying resources.

Methods, materials and delivery

The Training Azure OpenAI Service 2026 - Deploying Scalable Generative AI 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 2026 - Deploying Scalable Generative AI 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 2026 - Deploying Scalable Generative AI 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.

Our method

Training quality, guaranteed at every step

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.

FAQ

Frequently asked questions

How much does the Training Azure OpenAI Service 2026 - Deploying Scalable Generative AI training cost?+
The individual price is $3,465, and the team / on-site price is $8,663 (USD). A detailed quote is sent within one business day.
How long is the Training Azure OpenAI Service 2026 - Deploying Scalable Generative AI training?+
The training lasts 3 journées, available live online (US time zones) or on-site at your offices.
How is this training paid for?+
Most US teams pay directly through their company (L&D or training budget). We invoice in US dollars and accept bank transfer (ACH/wire) or card, with volume pricing for teams. A purchase order is welcome.
Are there any prerequisites?+
Advanced mastery of Azure AI, experience in LLM fine-tuning, solid skills in Python, Docker, and Kubernetes for cloud deployments.
Is a certificate delivered at the end?+
Yes. A Learni completion certificate is issued, along with the individual evaluation report.
Does Learni provide the equipment?+
No. A computer and stable internet connection are required for the participant. Learni provides the educational platform, the trainer and all course materials.
On-site & remote

This training across cities

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

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