Introduction to Azure Machine Learning

What if you could build, train, and deploy machine learning models without ever setting up a local environment? Azure ML offers three distinct paths to accelerate your workflow.

#1about 4 minutes

A quick refresher on AI, ML, and deep learning concepts

Learn the fundamental differences between AI, machine learning, and deep learning, along with the three main algorithm categories: supervised, unsupervised, and reinforcement.

#2about 4 minutes

Introducing the Azure Machine Learning platform and workspace

Get an overview of the Azure Machine Learning platform, its core components like the workspace backend, and its integration with other Azure services.

#3about 7 minutes

Setting up your Azure ML Studio and compute resources

Follow a step-by-step guide to creating an Azure ML workspace in the portal and configuring compute instances and clusters for model training.

#4about 6 minutes

Building models visually with the drag-and-drop designer

Discover how to create a complete machine learning pipeline using the visual designer to clean data, train a linear regression model, and evaluate its performance.

#5about 9 minutes

Using AutoML for automated model creation and selection

Explore how Automated ML (AutoML) automatically selects features, chooses the best algorithm, and tunes hyperparameters to build a high-performing classification model.

#6about 10 minutes

Developing models with a code-first approach using notebooks

Learn how to use the integrated Jupyter Notebook experience to prepare data, configure an AutoML run, and train a regression model using the Python SDK.

#7about 2 minutes

Understanding the ONNX format for model interoperability

Discover ONNX (Open Neural Network Exchange), a standard format that enables model portability and optimized performance across different platforms and devices.

#8about 9 minutes

Key takeaways and recommended learning resources

Review the main capabilities of Azure Machine Learning and find recommended links to Microsoft Learn tutorials and certifications to continue your journey.

From learning to earning

Jobs that call for the skills explored in this talk.