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.
Training Azure Machine Learning - Deploying Advanced AI Solutions
Specialist course · Minimum level required
Trusted by — schools, companies and industrial groups
41,059 programs · 25 countries
Every program built with a dedicated engineer
Companies: Aptar, ArcelorMittal, Equans, EDF, Ubisoft and Microsoft.
Azure Machine Learning training objectives
- Master Azure Machine Learning for advanced professional projects.
- Develop skills in Deep Learning with Azure tools.
- Design robust MLOps pipelines for the enterprise.
- Implement Prompt Engineering in certifiable AI workflows.
- Optimize production models with continuous monitoring.
- Deploy scalable solutions tailored to business needs.
Program
Azure Machine Learning curriculum: 3 modules over 3 days
Module 1 : Theme: Advanced Azure Machine Learning with Azure ML Studio (tools, methods, deliverables)
Participants explore Azure ML Studio to create workspaces, manage datasets and train complex models. They use compute clusters, experiment with AutoML and produce reusable notebooks. Real-world business cases illustrate model versioning and team collaboration.
Module 2 : Theme: Deep Learning and pipelines with Azure Machine Learning (tools, methods, deliverables)
The day covers designing MLOps pipelines with Azure ML Pipelines. Learners integrate TensorFlow and PyTorch, configure endpoints and apply advanced monitoring. Practical exercises include deploying Deep Learning models and managing dependencies for professional projects.
Module 3 : Theme: Prompt Engineering and optimization in Azure Machine Learning (tools, methods, deliverables)
Trainees optimize prompts for Azure OpenAI integrated with Azure ML. They deploy production solutions, configure A/B tests and deliver a complete project. Focus on governance, scalability and integration in certifiable enterprise environments.
How Azure Machine Learning skills are assessed
- Final quiz on key Azure Machine Learning concepts
- Evaluated practical project with pipeline deployment
- Self-assessment of acquired skills and personal action plan
How the Azure Machine Learning course is taught
- Access to Azure resources during the training
- Materials and notebooks provided in advance
- Practical exercises on real business cases
- Post-training follow-up by email for 30 days
Azure Machine Learning training: access and practical arrangements
The Training Azure Machine Learning - Deploying Advanced AI Solutions 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 - Deploying Advanced AI Solutions 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 - Deploying Advanced AI Solutions 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.
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.
Our method
How Learni guarantees the quality of your Azure Machine Learning training
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.
Our social commitment
A school kit donated to a child for every training booked
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
FAQ
Azure Machine Learning: frequently asked questions
Which tools are used in Azure Machine Learning training?+
Hands-on work runs on tools, methods and deliverables. Those tools come from the Azure Machine Learning program itself, delivered on site over 3 days, so participants practise on the stack they will use at work.
What can participants do after Azure Machine Learning training?+
They can master Azure Machine Learning for advanced professional projects, develop skills in Deep Learning with Azure tools and design robust MLOps pipelines for the enterprise. Those are the stated objectives of the Azure Machine Learning program at Advanced level, checked by the end-of-session assessment.
What does the Azure Machine Learning program cover, day by day?+
Day 1: Theme: Advanced Azure Machine Learning with Azure ML Studio (tools, methods, deliverables). Day 2: Theme: Deep Learning and pipelines with Azure Machine Learning (tools, methods, deliverables). Day 3: Theme: Prompt Engineering and optimization in Azure Machine Learning (tools, methods, deliverables). The Azure Machine Learning program runs over 3 days, delivered on site.
How is Azure Machine Learning training assessed?+
Assessment relies on final quiz on key Azure Machine Learning concepts, evaluated practical project with pipeline deployment and self-assessment of acquired skills and personal action plan. Learni issues a completion certificate together with the individual assessment report at the end of the Azure Machine Learning program, which an L&D team can file as evidence.
How much does Azure Machine Learning training cost per participant?+
Azure Machine Learning training costs $4,725 per participant. For an in-company team, the flat rate starts at $8,558 for the whole group, up to 8 people. The detailed quote, sent within one business day, adjusts the amount to the format and how far the syllabus is tailored to your team.
How long does Azure Machine Learning training take?+
3 days, available live online (US time zones) or on-site at your offices. Half-day tracks spread over several weeks are possible so the team stays operational.
Who pays for Azure Machine Learning training?+
Most US teams pay directly through their company L&D or training budget. Learni invoices in US dollars and accepts bank transfer (ACH/wire) or card, with volume pricing for teams. A purchase order is welcome.
What do participants need to know before Azure Machine Learning training?+
Proficiency in Python, experience in machine learning, knowledge of Azure and practice with notebooks for real projects.
Is a certificate issued after Azure Machine Learning training?+
Yes. A Learni completion certificate is issued, along with the individual evaluation report. Learni is a certified training provider and prepares for third-party certifications, but does not award them itself.
Does Learni provide the equipment for Azure Machine Learning training?+
No. A computer and a stable internet connection are required for each participant. Learni provides the learning platform, the trainer and all course materials.
Your professional training, anywhere
Let's build your Azure Machine Learning learning path.
30 minutes with a learning advisor. No commitment. No sales pitch dressed up as a demo.
Reply within 24h · Vetted experts · USD invoicing · W-9 available
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On-site & remote
Azure Machine Learning training in your city
Available on-site and remotely. Pick your city to see the local training center.