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.
Describe your need, get a tailored program and a pre-filled quote in 3 min. A 100% free call with an advisor.
1 seat held for the next session
Request a call back and an advisor reaches you within 24 business hours, Monday to Saturday.

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.
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
Companies that fail to master Azure OpenAI Service 2026 lose a major competitive advantage.
According to Gartner, 65 % of organizations that delayed their generative AI adoption see their productivity stagnate.
Teams without these skills struggle to attract talent and risk technological obsolescence.
Failing to invest in this training exposes them to costly delays in innovation projects and to loss of market share against better-prepared competitors.
Participants explore the architecture of Azure OpenAI Service 2026 through concrete demonstrations. They configure Azure resources, test the latest GPT models and analyze enterprise integration scenarios. Practical exercises allow comparison of deployment performance and identification of cost optimization levers.
This day is dedicated to fine-tuning Azure OpenAI Service 2026 models. Learners prepare business datasets, run supervised training sessions and evaluate results with advanced metrics. Practical workshops cover the use of Azure ML and implementation of feedback loops to improve response relevance.
Professionals learn to secure Azure OpenAI Service 2026 deployments in enterprise environments. They implement access controls via Azure AD, configure private endpoints and apply GDPR requirements. Real-world cases illustrate risk management and compliance for sensitive AI projects.
Participants deploy Azure OpenAI Service 2026 solutions within complete CI/CD pipelines. They use Azure DevOps to automate updates, containerize applications and configure auto-scaling. Exercises focus on performance monitoring and model versioning in production.
The final day covers continuous optimization of Azure OpenAI Service 2026 projects. Learners analyze costs, set up monitoring dashboards and define an AI governance strategy. A final project allows presentation of a complete architecture ready for production deployment.
The Training Azure OpenAI Service 2026 - AI Expertise 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.
For the smooth delivery of the Training Azure OpenAI Service 2026 - AI Expertise in Production program, the following equipment is required:
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.
Assessment of skills acquired during the Training Azure OpenAI Service 2026 - AI Expertise in Production program is performed through:
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.
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.
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.
Each trainer is validated on three criteria: hands-on field expertise, proven pedagogy and alignment with your industry.
30-minute video call between you and the selected trainer to validate the fit, adjust content and clear any final doubts.
No recycled slides. The syllabus is reworked from your real cases: tools, constraints, vocabulary, ongoing projects.
Live evaluations, 30/90/180-day check-ins and a consolidation plan. If the impact misses the mark, we rework it.
A simple promise: you don't pay to discover the trainer on day one. Everything is validated upfront, by you.
Generative AI & LLMsIndustry-certified
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Data visualisationIndustry-certified
Generative AI & LLMsIndustry-certified
Generative AI & LLMsIndustry-certified
Generative AI & LLMsIndustry-certified
Web developmentIndustry-certified
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Web developmentIndustry-certified
Microsoft AzureIndustry-certified
Microsoft AzureIndustry-certified
Microsoft AzureIndustry-certified
Google CloudIndustry-certified
Google CloudIndustry-certified
Google CloudIndustry-certifiedAvailable on-site and remotely. Pick your city to see the local training center.
30 minutes with a learning advisor. No commitment. No sales pitch dressed up as a demo.