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.
Trusted by — schools, companies and industrial groups
Learning objectives
- Master the advanced APIs of Azure OpenAI Service 2026 for seamless professional integrations.
- Configure scalable and secure deployments tailored to enterprise needs.
- Optimize performance and costs of generative AI models in production.
- Develop certifying applications leveraging embeddings and expert fine-tuning.
- Implement monitoring and RAG strategies to enhance Azure skills.
- Integrate Azure OpenAI Service 2026 with the cloud ecosystem for innovative enterprise solutions.
- Acquire certifying skills validating professional AI expertise.
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.
Program
Module 1Azure OpenAI Service 2026: Advanced APIs and Expert Configuration (GPT-5 models, vector embeddings, secure API keys)
Discover the new features of Azure OpenAI Service 2026 through practical workshops on configuring GPT-5 models and advanced embeddings, set up secure endpoints with Azure Key Vault, implement expert prompting workflows for text and code generation, test real enterprise cases like AI report automation, generate production-ready functional deliverables, while integrating Azure tools like Cognitive Search for enhanced skills in professional certifying training.
Module 2Azure OpenAI Service 2026: Production Deployment and Optimization (fine-tuning, RAG, auto-scaling, Azure monitoring)
Dive into scalable deployment of Azure OpenAI Service 2026 with custom fine-tuning on enterprise datasets, integrate RAG for precise contextual responses via Azure Vector Search, optimize costs and latency with auto-scaling and intelligent quotas, simulate real cases like secure B2B client AI chatbots, deploy advanced monitoring with Azure Application Insights, produce certifying deliverable architectures, consolidate professional skills for total mastery in AI cloud computing.
Evaluation method
- Technical quizzes on APIs and Azure OpenAI Service 2026 optimization.
- Practical project for complete deployment with fine-tuning and RAG.
- Peer evaluation and Qualiopi certifying attestation validating expertise.
Learning method
- Real hands-on projects on dedicated Azure environments.
- Enterprise case studies with expert feedback.
- Agile methods for rapid iterations and continuous feedback.
- Personalized pedagogical support in small groups of max 10.
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.
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.
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.
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.
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FAQ
Frequently asked questions
How much does the Training Azure OpenAI Service 2026 - Deploying Scalable Generative AI training cost?+
The individual price is $2,310, and the team / on-site price is $5,775 (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 2 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 services, experience in Python development and machine learning, in-depth knowledge of large language models (LLMs) and OpenAI APIs.
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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