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 Scalable ML Pipelines
Trusted by — schools, companies and industrial groups
Every program built with a dedicated engineer
Learning objectives
- Master the design of automated pipelines in Azure Machine Learning for professional projects
- Develop and train advanced ML models with enterprise-certifiable skills
- Implement scalable and secure deployments to optimize AI performance
- Configure monitoring and optimization of models in real production
- Design MLOps workflows tailored to data-driven team needs
- Acquire practical skills in managing massive datasets on Azure
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, 80% of enterprise ML projects fail in the deployment phase according to Gartner, resulting in losses of 1.5 million euros per delayed project.
Untrained teams struggle to scale models, exposing the company to competitors 30% more agile in AI.
Your career stagnates amid rising demand for cloud ML skills, with 70% of junior data scientists excluded from senior roles.
Invest now to secure your expertise and boost competitiveness.
Program
Module 1Azure Machine Learning 2026 Fundamentals: Configuring Workspaces and Datasets (Studio, CLI Tools)
Discover the new features of Azure Machine Learning 2026 through practical exercises on creating secure workspaces, importing large datasets, and preparing data with AutoML. Explore the Studio and CLI interfaces for quick configuration, run your first experiments with integrated logging, produce actionable visual reports for teams, and consolidate your skills with a real business case for immediate implementation.
Module 2Azure Machine Learning 2026 Pipelines: Automation and Model Training (SDK, Designer)
Dive into building end-to-end pipelines with the Python SDK and Designer, automate model training on cloud GPUs, test hyperparameters via intelligent sweeps, integrate custom components for hybrid workflows, analyze metrics in real-time, deploy a pilot pipeline on a real enterprise dataset, and obtain production-ready deliverables with Azure cost optimization.
Module 3Azure Machine Learning 2026 Deployment: MLOps and Scaling (Endpoints, ACI/AKS)
Master model deployment via managed endpoints, configure batch and real-time inferences on ACI or AKS, implement CI/CD with GitHub Actions, secure access via RBAC and Key Vault, test resilience under high load, migrate to serverless deployments, and produce a complete MLOps blueprint with integrated monitoring for enterprise scalability.
Module 4Azure Machine Learning 2026 Optimization: Monitoring and Advanced Cases (Drift Detection, Tuning)
Optimize production models with drift detection and explainability, fine-tune performance via automated ML and ONNX, integrate feedback loops for continuous learning, analyze costs and eco-responsibility, solve complex cases like federated learning, finalize with a deliverable capstone project, and strengthen certifiable skills for professional AI challenges.
Evaluation method
- Interactive quizzes and daily practical challenges
- Final project of ML pipeline deployed on Azure
- Qualiopi certificate with assessment of acquired skills
Learning method
- Real projects on dedicated Azure environments
- Hands-on exercises with enterprise datasets
- Live support by Microsoft certified experts
- Post-training resources for continuous practice
Methods, materials and delivery
The Training Azure Machine Learning 2026 - Deploying Scalable ML Pipelines 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 Scalable ML Pipelines 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 ML Pipelines 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 Scalable ML Pipelines 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 Scalable ML Pipelines 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?+
Solid foundations in Python and machine learning, Azure Fundamentals basics, experience in data modeling
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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