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 fundamentals of Azure OpenAI Service for professional certifying projects
- Develop skills in text and image generation with GPT and DALL-E
- Design effective prompts to optimize AI responses in a business context
- Implement secure API integrations with Azure OpenAI in real-world applications
- Configure scalable deployments and monitor usage for professional adoption
- Evaluate ethical and security limitations in using Azure OpenAI Service
Our social commitment
A school kit donated to a child for every training
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 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 Fundamentals: Configuration and First API Calls (Azure Portal, Keys, Playground)
Complete discovery of Azure OpenAI Service via the Azure portal, creation of resources and generation of secure API keys, exploration of the playground to test GPT-3.5 and GPT-4 models in real-time, practical exercises on simple prompts to generate professional text, setup of a Python development environment with Azure SDK, creation of a first script calling the API and analysis of responses for concrete business cases.
Module 2Azure OpenAI Service Models and Prompting: Optimizing AI Interactions (GPT, Embeddings, Fine-tuning)
In-depth exploration of available models such as GPT for text, DALL-E for images, and embeddings for semantic search, advanced prompting techniques with few-shot and chain-of-thought for precise results, practical workshops on optimizing prompts for business tasks like automated writing or data analysis, experimentation with fine-tuning on custom datasets, production of testable deliverables and qualitative evaluation of AI outputs tailored to professional needs.
Module 3Azure OpenAI Service Integrations: Developing Hybrid Applications (Python/JS SDK, REST API)
Development of applications connected to Azure OpenAI Service via Python and JavaScript SDKs, REST API integration into existing workflows with Azure AD authentication, practical cases on intelligent chatbots and virtual assistants for the enterprise, management of embeddings for high-performance vector search, collaborative exercises to combine generative AI with Azure Cosmos DB databases, creation of a functional prototype with a simple user interface and endurance testing on real scenarios.
Module 4Azure OpenAI Service Deployment and Security: Production and Monitoring (Azure AI Studio, Quotas, Compliance)
Production deployment of Azure OpenAI Service applications via Azure AI Studio and Functions, configuration of quotas, monitoring with Azure Monitor and Application Insights for traceability, workshops on data security with encryption and RBAC, cost management and token optimization for enterprise scalability, case study on GDPR compliance and AI ethics, finalization of the ongoing project with security audit and implementation plan, delivery of annotated source code ready for deployment.
Evaluation method
- Multiple-choice quiz to validate knowledge at the end of the training
- Continuous evaluation through practical exercises and optimized prompts
- Presentation of the ongoing Azure OpenAI Service project to the trainer
Learning method
- Courses led by an active Azure expert trainer
- Practical exercises on real business cases with generative AI
- Ongoing project progressing throughout the training
- Complete course materials provided to each participant
Methods, materials and delivery
The Training Azure OpenAI Service - Deploying Generative AI 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 Azure OpenAI Service - Deploying Generative AI 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 Azure OpenAI Service - Deploying Generative AI 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.
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 - Deploying Generative AI in the Enterprise training cost?+
The individual price is $4,620, and the team / on-site price is $8,085 (USD). A detailed quote is sent within one business day.
How long is the Training Azure OpenAI Service - Deploying Generative AI in the Enterprise training?+
The training lasts 4 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?+
Basic knowledge of Python programming and familiarity with the Azure portal
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.
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