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 in a professional certifying training.
- Develop skills to configure GPT models in a secure cloud environment.
- Design generative AI applications tailored to professional business needs.
- Implement chatbots and virtual assistants via the Azure OpenAI API.
- Optimize deployments for enhanced scalability and performance in production.
- Acquire certifying skills that enhance your cloud AI profile.
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 1Fundamentals: Introduction to Azure OpenAI Service (Azure accounts, API keys, playground)
Discover the basics of Azure OpenAI Service through the creation of dedicated Azure accounts, the generation of secure API keys, and the exploration of the interactive playground to test GPT-3.5 and GPT-4 models in real-time, with practical exercises on simple prompts, analysis of generated responses, and initial professional use cases like automated text generation. Deliverables: ready-to-use Jupyter notebook and initial evaluation report.
Module 2Configuration: Models and Fine-Tuning in Azure OpenAI Service (parameters, embeddings, security)
Dive into advanced configuration of Azure OpenAI Service models by adjusting temperature, top-p, and frequency penalty parameters for optimized outputs, explore embeddings for semantic search, and integrate security guardrails via content filters, through practical workshops on real enterprise datasets, supervised fine-tuning exercises, and completion tests. Deliverables: configured Python script and personalized security playbook.
Module 3Applications: Integration of Azure OpenAI Service (chatbots, assistants, REST API)
Build concrete applications with Azure OpenAI Service by developing chatbots via the Chat Completions API, integrating virtual assistants into business workflows, and deploying secure REST endpoints with Azure Functions, through practical cases like customer service automation, report generation, and intelligent Q&A, with live debugging and token optimization. Deliverables: functional web application prototype and API documentation.
Module 4Deployment: Scalability and Monitoring of Azure OpenAI Service (quotas, costs, observability)
Master production deployment of Azure OpenAI Service by managing quotas and costs via Azure Cost Management, and monitoring with Application Insights for full observability, simulate load spikes, optimize API calls to reduce latencies, and implement retry strategies, through final projects on real enterprise scenarios like AI for e-commerce. Deliverables: deployed monitoring dashboard and certified scalability plan.
Evaluation method
- Interactive quizzes and daily practical exercises to validate immediate learning outcomes.
- Final generative AI application project evaluated by certified experts.
- Qualiopi training certificate with validated competencies in Azure OpenAI Service.
Learning method
- Practical methods with 70% hands-on exercises on a dedicated Azure platform.
- Real-world case studies from leading companies in generative AI.
- Live remote support with screen sharing and collaborative chat.
- Post-training resources: videos, source codes, and alumni community.
Methods, materials and delivery
The Training Azure OpenAI Service - Mastering Generative AI on Azure 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 - Mastering Generative AI on Azure 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 - Mastering Generative AI on Azure 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 - Mastering Generative AI on Azure training cost?+
The individual price is $4,620, and the team / on-site price is $11,550 (USD). A detailed quote is sent within one business day.
How long is the Training Azure OpenAI Service - Mastering Generative AI on Azure 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, elementary understanding of cloud computing and AI, no prior experience with Azure OpenAI Service required.
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
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