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 Machine Learning 2026 - Deploying Advanced AIs in Production
Trusted by — schools, companies and industrial groups
Every program built with a dedicated engineer
Learning objectives
- Master Azure Machine Learning 2026 workspaces for professional, certifiable pipelines
- Develop advanced AI models in enterprise training with AutoML and Designer
- Design optimized experiments to boost deep learning skills
- Implement secure, scalable MLOps deployments in production
- Optimize costs and performance of AI endpoints in a professional context
- Integrate Azure ML into hybrid stacks for enterprise-grade certifiable solutions
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 mastery of Azure Machine Learning 2026, 75% of enterprise ML projects fail in the deployment phase according to Gartner, resulting in annual losses of 2,5M€ per non-scaled model.
Data scientists risk obsolescence against cloud-native competition, with 40% of AI positions requiring Azure certification by 2025.
Your company loses competitive agility, exposes security vulnerabilities, and misses x10 ROI gains on automated AI.
Invest now to secure your technological edge and career.
Program
Module 1Setting up Azure Machine Learning 2026: workspaces and advanced environments (CLI, SDK, security)
Discover the new features of Azure Machine Learning 2026 through practical labs on creating secure workspaces, configuring custom conda environments with GPU, integrating Azure AD for controlled access, exercises on resource monitoring, setting up scalable compute clusters, and generating initial reports to validate professional setups, while exploring REST APIs for automation.
Module 2Pipelines and AutoML in Azure Machine Learning 2026: automated modeling (feature engineering, hyperparameters)
Dive into Azure Machine Learning 2026's native CI/CD pipelines, build data prep workflows with Azure Data Factory, test AutoML for classification and regression on real datasets, optimize the feature store for reuse, perform advanced hyperparameter sweeps, generate explainable models with SHAP, and deploy prototypes via Python SDK to accelerate enterprise projects.
Module 3Experiments and Designer in Azure Machine Learning 2026: custom deep learning (ONNX, TensorFlow)
Master the no-code/low-code Designer in Azure Machine Learning 2026 for rapid prototyping, train custom deep learning models on compute instances, integrate ONNX for interoperability, analyze MLflow logs for tracking, collaborate via Git integration, test A/B on endpoints, and produce Model Monitor dashboards to detect drifts in real-time during hands-on exercises.
Module 4MLOps and Deployment in Azure Machine Learning 2026: scalable endpoints (Kubernetes, production monitoring)
Conclude with Azure Machine Learning 2026 MLOps best practices, deploy on AKS clusters, configure real-time inference with KServe, implement RBAC and quotas, monitor with Application Insights and Prometheus, automate retraining via triggers, generate GDPR compliance certificates, and simulate high-availability production scenarios to validate professional skills.
Evaluation method
- Daily interactive quizzes and coding challenges to validate learning
- Capstone project: end-to-end ML pipeline deployed in simulated production
- Final certification exam with personalized feedback and Qualiopi certificate
Learning method
- 70% hands-on labs on dedicated Azure playground
- Real-world case studies from Fortune 500 companies
- Individual mentoring by Microsoft Certified experts
- Post-training resources: videos, GitHub templates, Slack community
Methods, materials and delivery
The Training Azure Machine Learning 2026 - Deploying Advanced AIs 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 Machine Learning 2026 - Deploying Advanced AIs 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 Machine Learning 2026 - Deploying Advanced AIs 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 Machine Learning 2026 - Deploying Advanced AIs in Production training cost?+
The price is $4,620 (USD) per participant. A detailed quote is sent within one business day.
How long is the Training Azure Machine Learning 2026 - Deploying Advanced AIs 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 Python mastery, Azure Fundamentals certification, Machine Learning experience with scikit-learn and TensorFlow, cloud DevOps fundamentals
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
Available on-site and remotely. Pick your city to see the local training center.
Your professional training, anywhere
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