Azure Machine Learning
Bring AI to everyone with an end-to-end, scalable, trusted platform with experimentation and model management
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Pros
- Code and designer experience
- Large range of compute options
- Good range of built-in Python frameworks
- Flexible model hosting options
- Automated machine learning (AutoML)
- Support for ONNX
- ML.NET
- MLOps features
- Azure Synapse Pipelines integration
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Cons
- No serverless SKUs
Read our blog posts about Azure Machine Learning
From Prompt Engineering to AI Programming: Building Enterprise-Ready Generative AI Solutions
Shift from prompt engineering to AI programming by applying rigorous software engineering principles to your LLM integrations.
Exposing legacy batch processing code online using Azure Durable Functions, API Management and Kubernetes
Discover how Kubernetes, Azure Durable Functions, and Azure API Management transform legacy batch processing code into a RESTful API.
NDC London Day 1
In this post, Ian describes some of the highlights from the NDC London conference