🎁Azure · AWS · Google — 1 free certification per learner, up to $400.Get the offer →
← Back

Training Azure Machine Learning 2026 - Deploying Scalable AIs in the Enterprise

Ref: SPU780
10 people max.
4400€ HT / per person
−15% from 2 people−30% from 3 people−50% from 5 people
Pay in 3 installments · +$170/day onsite · +$500 with certification exam
4 journées
distanciel

Share in 2 clicks

EquansAptarArcelorMittalUbisoftINSEECLa PlateformeCESIEFREIEPSIINGETISMy Digital SchoolYnovEquansAptarArcelorMittalUbisoftINSEECLa PlateformeCESIEFREIEPSIINGETISMy Digital SchoolYnov

Learning objectives

  • Master the new automated pipelines in Azure Machine Learning 2026 to accelerate AI developments in the enterprise.
  • Develop certifiable skills in hyperparameter optimization and distributed scaling on Azure.
  • Design advanced MLOps solutions integrating Azure ML Studio and Kubernetes for professional production.
  • Implement multimodal models with 2026 features, boosting AI team efficiency.
  • Optimize costs and performance of large-scale AI workloads in a Qualiopi-certified context.
  • Deploy autonomous AI agents via Azure ML, enhancing professional competitiveness.

The Learni story

Founded by passionate learning and innovation experts, Learni's mission is to make professional training accessible to everyone, anywhere in the world. Our team operates in major hubs — London, New York, Boston — and internationally, to support talents and organizations in upskilling.

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.

Fouzi Benzidane
Fouzi Benzidane

Learni Trainer · Expert

73%productivity gap
×3cost of inaction

Program

Module 1Azure Machine Learning 2026 Architectures: Advanced Pipelines and Hybrid Workspaces (Azure ML Studio, CLI v2)

Discover the 2026 evolutions of Azure Machine Learning with configuration of hybrid multi-cloud workspaces, creation of automated pipelines via designer and Python SDK, hands-on exercises on massive datasets to train distributed models, real-time log analysis for advanced debugging, deliverables include a production-ready functional pipeline, enhancing your professional skills in scalable AI.

Module 2Hyperparameter Optimization in Azure Machine Learning 2026: Distributed Tuning and AutoML Pro (Ray Tune, Optuna Integrated)

Dive into 2026 optimization algorithms with distributed Bayesian tuning on Azure GPU clusters, comparison of AutoML Pro vs. manual sweeps via Jupyter notebooks, real-world cases on vision and NLP with custom metrics, hands-on exercises to reduce training time by 70%, automated report generation, obtain optimal hyperparameters applicable in certifiable enterprise settings.

Module 3Advanced MLOps in Azure Machine Learning 2026: Serverless Deployment and Monitoring (ACI, AKS, Responsible AI Dashboard)

Master 2026 deployments with serverless endpoints on Azure Container Instances, Kubernetes integration for auto-scaling, monitoring setup via Azure ML Metrics and drift detection, hands-on workshops on automated rollbacks and A/B model testing, enterprise use cases with data governance, deliverables include a complete deployed MLOps pipeline, boosting your expertise in reliable AI.

Module 4AI Agents and Innovative Features in Azure Machine Learning 2026: Multimodal and Edge Inference (Phi-3, Custom Agents)

Explore 2026 autonomous agents with Phi-3 fine-tuning and tool chaining via LangChain on Azure, edge deployment on IoT Edge, exercises on vision-language multimodal models, cost optimization with spot instances, real industrial case simulations, finalize with a deliverable capstone project, certifying your advanced skills to transform your AI practice in the enterprise.

Evaluation method

  • Daily interactive technical quizzes on Azure ML 2026 with immediate feedback.
  • Final MLOps project deployed live, graded by Qualiopi experts.
  • Recognized certifying attestation validating expert skills in professional AI.

Learning method

  • 80% hands-on method: real-time coding workshops on dedicated Azure playgrounds.
  • Fortune 500 enterprise case studies migrated to Azure ML 2026.
  • Unlimited post-training resources access: labs, templates, alumni community.
  • 1-to-1 mentorship support during and after the certifying training.

Methods, materials and delivery

The Training Azure Machine Learning 2026 - Deploying Scalable AIs in the Enterprise program is delivered onsite or remote (blended-learning, e-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 Machine Learning 2026 - Deploying Scalable AIs 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 Machine Learning 2026 - Deploying Scalable AIs 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

Learni programs are available inter-company and intra-company, onsite or remote. Enrollments are possible up to 48 business hours before the program starts. Our programs are eligible for corporate funding paths. Contact us to discuss your training project and funding options.

Verified reviews

What our learners

4.9 · +100 verified reviews
★★★★★

« cool, j'ai appris des trucs »

TomFormation AWS — Cloud Practitioner
★★★★★

« j'etais perdu au debut mais Ramy Saharaoui m'a pas laché, il a pris le temps. merci vraiment »

Eva CarpentierFormation LLM en Entreprise — Claude, ChatGPT, Mistral
★★★★★

« la formation dev etait intense mais grave bien. merci Anthony Khelil »

NolanDWWM - Développeur Web et Web Mobile
★★★★★

« 😊👍 »

AmbreDWWM - Développement Web & Mobile React
★★★★★

« bien 👍 »

Léo BlanchardFormation AWS — DevOps Engineer Professional
★★★★★

« Allan Busi t'es au top, continue comme ça. formation géniale »

MargotFormation Claude & ChatGPT — Comparatif et Cas d'Usage
★★★★★

« cool, j'ai appris des trucs »

TomFormation AWS — Cloud Practitioner
★★★★★

« j'etais perdu au debut mais Ramy Saharaoui m'a pas laché, il a pris le temps. merci vraiment »

Eva CarpentierFormation LLM en Entreprise — Claude, ChatGPT, Mistral
★★★★★

« la formation dev etait intense mais grave bien. merci Anthony Khelil »

NolanDWWM - Développeur Web et Web Mobile
★★★★★

« 😊👍 »

AmbreDWWM - Développement Web & Mobile React
★★★★★

« bien 👍 »

Léo BlanchardFormation AWS — DevOps Engineer Professional
★★★★★

« Allan Busi t'es au top, continue comme ça. formation géniale »

MargotFormation Claude & ChatGPT — Comparatif et Cas d'Usage
★★★★★

« cool, j'ai appris des trucs »

TomFormation AWS — Cloud Practitioner
★★★★★

« j'etais perdu au debut mais Ramy Saharaoui m'a pas laché, il a pris le temps. merci vraiment »

Eva CarpentierFormation LLM en Entreprise — Claude, ChatGPT, Mistral
★★★★★

« la formation dev etait intense mais grave bien. merci Anthony Khelil »

NolanDWWM - Développeur Web et Web Mobile
★★★★★

« 😊👍 »

AmbreDWWM - Développement Web & Mobile React
★★★★★

« bien 👍 »

Léo BlanchardFormation AWS — DevOps Engineer Professional
★★★★★

« Allan Busi t'es au top, continue comme ça. formation géniale »

MargotFormation Claude & ChatGPT — Comparatif et Cas d'Usage
Read all reviews
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.

Step 1

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.
Step 2

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.
Step 3

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.
Step 4

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.

Your professional training, anywhere

Let's build
your next
program.

30 minutes with a learning advisor. No commitment. No sales pitch dressed up as a demo.

Reply within 24 h · Industry-certified · Corporate funding
WhatsApp