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.
1 seat held for the next session
30:00Held for another
Request a call back and an advisor reaches you within 24 business hours, Monday to Saturday.
Training Azure OpenAI Service - Deploying Scalable Generative AIs
Trusted by — schools, companies and industrial groups
Every program built with a dedicated engineer
Learning objectives
- Master Azure OpenAI Service for professional, certifiable AI applications
- Develop scalable generative solutions in enterprise settings
- Implement fine-tuning and RAG for customized models
- Configure security and governance for sensitive data
- Optimize performance and costs in production deployments
- Integrate Azure OpenAI with cloud ecosystems for expert skills
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
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 mastery of Azure OpenAI Service, companies waste 50% of their time on custom AI development while unnecessary token costs surge to 30% of the cloud budget.
68% of AI projects fail due to lack of governance, triggering sensitive data leaks and GDPR fines up to 4% of revenue.
Untrained data scientists see their employability drop 40% in 2024.
Every quarter without advanced skills exposes your organization to competitors delivering impactful generative solutions 3x faster.
Program
Module 1Azure OpenAI Service: advanced configuration and GPT models (API, embeddings, playground)
Dive into the configuration of Azure OpenAI Service via the Azure portal, deploy GPT-4 model deployments and embeddings, test in playground with advanced prompts, perform practical exercises on text generation and semantic search, produce your first AI prototypes integrated with enterprise data, with quota optimization and initial monitoring for rapid and efficient implementation.
Module 2Azure OpenAI Service: fine-tuning, RAG and integrations (LangChain, Semantic Kernel)
Customize your models via fine-tuning on proprietary datasets, implement Retrieval-Augmented Generation with Azure Cognitive Search and vector stores, integrate LangChain or Semantic Kernel for complex reasoning chains, develop concrete cases like intelligent chatbots or document analysis, test in pairs with code review, generate enterprise-ready deliverables boosting productivity and innovation.
Module 3Azure OpenAI Service: security, deployment and optimization (Azure AI Studio, costs)
Secure your solutions with Content Safety, RBAC and Private Endpoints, deploy to production via Azure AI Studio and Kubernetes, optimize costs with intelligent provisioning and caching, simulate real enterprise scenarios like scalable virtual assistants, measure performance with Azure Monitor, finalize a certifying red thread project with governance plan, ready to transform your business processes upon return to work.
Evaluation method
- Advanced MCQ on Azure OpenAI and its integrations
- Practical case study with deployment of an AI solution
- Presentation of the red thread project and security audit
Learning method
- Sessions led by certified Qualiopi Azure OpenAI experts
- Hands-on exercises on real Azure environments
- Customized red thread project for your business context
- Complete resources: source codes, templates, and docs
Methods, materials and delivery
The Training Azure OpenAI Service - Deploying Scalable Generative AIs 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 - Deploying Scalable Generative AIs 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 - Deploying Scalable Generative AIs 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
Which tools are used in Azure OpenAI Service training?+
Hands-on work runs on API, embeddings, playground, langChain, semantic Kernel and azure AI Studio. Those tools come from the Azure OpenAI Service program itself, delivered on site over 3 days, so participants practise on the stack they will use at work.
What can participants do after Azure OpenAI Service training?+
They can master Azure OpenAI Service for professional, certifiable AI applications, develop scalable generative solutions in enterprise settings and implement fine-tuning and RAG for customized models. Those are the stated objectives of the Azure OpenAI Service program at Advanced level, checked by the end-of-session assessment.
What does the Azure OpenAI Service program cover, day by day?+
Day 1: Azure OpenAI Service: advanced configuration and GPT models (API, embeddings, playground). Day 2: Azure OpenAI Service: fine-tuning, RAG and integrations (LangChain, Semantic Kernel). Day 3: Azure OpenAI Service: security, deployment and optimization (Azure AI Studio, costs). The Azure OpenAI Service program runs over 3 days, delivered on site.
How is Azure OpenAI Service training assessed?+
Assessment relies on advanced MCQ on Azure OpenAI and its integrations, practical case study with deployment of an AI solution and presentation of the red thread project and security audit. 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?+
$3,465 (USD) per participant. A detailed quote is sent within one business day, and team pricing applies from the second participant.
How long does Azure OpenAI Service 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 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?+
Mastery of Azure, advanced Python, REST APIs, and basics in machine learning.
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.
On-site & remote
This training across cities
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