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 Azure Cognitive Services APIs for professional AI solutions
- Develop scalable computer vision applications in the enterprise
- Implement speech recognition and NLP with performance optimization
- Design custom models via Custom Vision and Language Understanding
- Deploy secure and monitored AI pipelines on Azure
- Optimize costs and scalability of certified cognitive services
- Integrate Cognitive Services into modern microservices architectures
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 Cognitive Services Architecture: Exploring Advanced Services and APIs (Vision, Speech, Decision)
Immersion in the Azure Cognitive Services ecosystem, configuration of an expert subscription with API keys and secure endpoints, in-depth exploration of Vision, Speech, and Language services via Azure portal and Python/.NET SDK, first API calls on real enterprise cases such as batch image analysis, practical exercises to integrate Azure AD authentication, creation of a red thread project with initial monitoring of quotas and costs.
Module 2Azure Cognitive Services Vision and Decision: Implementing Object Detection and Content Moderation (Custom Vision, Content Moderator)
Advanced development of vision solutions, training Custom Vision models on enterprise-customized datasets with automatic tagging and ONNX export, integration of Face API for secure biometric recognition, content moderation via Text and Image Moderator with custom rules, exercises on real-time video streams with Azure Functions, latency optimization via Redis caching, production of deployed and tested deliverables under simulated production conditions.
Module 3Azure Cognitive Services Speech and Language: Deploying Speech Recognition and NLP (Speech-to-Text, LUIS)
Mastery of audio services with custom Speech-to-Text models for multiple accents and ambient noise, implementation of neural Text-to-Speech for personalized voices in multiple languages, design of intelligent bots via LUIS v3 with predictive entities and dispatchers, integration of QnA Maker for enterprise knowledge bases, practical workshops on real-time transcription with WebSockets, sentiment analysis and key extraction via Text Analytics, serverless deployment with Application Insights monitoring.
Module 4Deployment and Optimization of Azure Cognitive Services: Scaling AI Pipelines in Production (Anomaly Detector, Personalizer)
Full orchestration of pipelines with Logic Apps and Azure ML for model hybridization, implementation of Anomaly Detector on critical business time series, user experience personalization via Personalizer multi-arm bandit, securing with Private Link and advanced RBAC, cost optimization via reservations and auto-scaling, final exercises on red thread project with CI/CD GitHub Actions, GDPR compliance audit, delivery of monitoring dashboard and certified AI governance plan.
Evaluation method
- Expert quiz on APIs and Cognitive Services architectures
- Evaluation of practical projects with trainer code review
- Defense of deployed and scaled AI pipeline under real conditions
Learning method
- Sessions led by active Microsoft Certified experts
- Hands-on exercises on real enterprise Azure cases
- Red thread cognitive AI project from day 1 to final deployment
- Detailed course materials, code templates, and cloud labs access
Methods, materials and delivery
The Training Azure Cognitive Services - Deploying Cognitive AI 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.
Equipment required
For the smooth delivery of the Training Azure Cognitive Services - Deploying Cognitive AI in Production 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 Cognitive Services - Deploying Cognitive AI in Production 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 Cognitive Services - Deploying Cognitive AI in Production training cost?+
The individual price is $5,880, and the team / on-site price is $14,700 (USD). A detailed quote is sent within one business day.
How long is the Training Azure Cognitive Services - Deploying Cognitive AI in Production 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?+
Advanced mastery of Azure, REST/GraphQL API development, Python/C#, ML basics and cloud deployment
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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