Designing and Implementing a Data Science Solution on Azure

DP-100: Designing and Implementing a Data Science Solution on Azure

4 Days

Intermediate

Kuala Lumpur, Johor Bharu

Program Overview

Learn how to operate machine learning solutions at cloud scale using Azure Machine Learning. This course teaches you to leverage your existing knowledge of Python and machine learning to manage data ingestion and preparation, model training and deployment, and machine learning solution monitoring in Microsoft Azure.

Programme Module

Getting Started with Azure Machine Learning

No-Code Machine Learning

Running Experiments and Training Models

Working with Data

Working with Compute

Orchestrating Operations with Pipelines

Deploying and Consuming Models

Training Optimal Models

Responsible Machine Learning

Programme Objectives

At course completion, participants will be able to:

Provision and manage Azure Machine Learning workspaces and resources.
Develop, train, validate, and register machine learning models using Azure Machine Learning.
Prepare, manage, and utilize datasets and datastores for machine learning projects.
Configure and optimize compute resources and environments for scalable model training.
Build, publish, and manage machine learning pipelines to automate ML workflows (MLOps).
Deploy machine learning models as real-time and batch inference services on Azure.
Monitor deployed models and detect data drift using Azure monitoring tools.
Optimize model performance through hyperparameter tuning and Automated Machine Learning (AutoML).
Apply responsible AI practices, including fairness, model interpretability, and differential privacy.
Implement continuous integration and continuous deployment (CI/CD) for machine learning solutions in Azure.
Use Python and Azure Machine Learning SDK to develop and operationalize end-to-end machine learning solutions in the Microsoft Azure cloud.

Who Should Attend

This course is designed for:

Data scientists with foundational knowledge of Python programming.
Professionals familiar with machine learning frameworks such as Scikit-Learn, PyTorch, and TensorFlow.
AI and machine learning practitioners looking to deploy ML solutions on Microsoft Azure.
Data professionals who want to build, train, deploy, and manage machine learning models in the cloud.
Individuals preparing for the Microsoft DP-100: Designing and Implementing a Data Science Solution on Azure certification.

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