Technical scoping
Clarify the business need, available data and evaluation criteria for an AI solution.
From prototype to production: let’s discuss applied AI, technical support and MLOps training.
These are possible engagements to discuss, not standardised packages: scope, deliverables and availability will be agreed together.
Clarify the business need, available data and evaluation criteria for an AI solution.
Discuss architecture, APIs, pipelines and monitoring around your team’s constraints.
Shape a practical learning path around MLOps, computer vision or generative AI.
As an Alphorm instructor and OpenClassrooms mentor, I connect concepts, practical projects and production deployment. Over 100 learners have taken my MLOps courses.
Complete training on deploying artificial intelligence models in production, covering MLOps best practices, containerization, monitoring and orchestration.
Discover the basics of MLOps and key concepts for deploying AI models in production.
View the course on AlphormPut MLOps concepts into practice with a complete customer churn prediction project.
View the course on AlphormTell me about your context, objectives and key constraints.
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