Master the fundamentals of machine learning with Azure in this comprehensive course designed to help you build, train, and deploy machine learning models using Azure’s powerful cloud services. From understanding the basics of machine learning to creating fully optimized models, you will gain hands-on experience working with Azure Machine Learning, data preparation, feature engineering, and model tuning, making this course ideal for anyone looking to elevate their ML skills in a cloud environment.

What You Will Learn:

• Azure Machine Learning: Get an introduction to Azure Machine Learning (Azure ML), its capabilities, and how it simplifies machine learning workflows, from data preparation to model deployment.
• Basics of Machine Learning on Azure: Understand core machine learning concepts and how Azure provides tools to build and deploy models at scale using Azure ML Studio, SDKs, and automation features.
• Building and Deploying Models with Azure ML: Learn the step-by-step process of building machine learning models in Azure, followed by deployment to cloud environments, enabling them to be consumed as web services or integrated into applications.
• ML Workflows with Azure: Explore the complete machine learning lifecycle on Azure, including data ingestion, model training, validation, and deployment, leveraging Azure’s integrated services for seamless automation.
• Data Preparation and Feature Engineering in Azure: Dive deep into data preparation techniques and feature engineering practices using Azure’s data services, including transforming raw data into formats optimized for machine learning models.
• Training and Tuning Models in Azure: Gain practical experience in training models on Azure, tuning hyperparameters for optimal performance, and using tools like AutoML for model optimization.

Key Features:

• Comprehensive overview of Azure Machine Learning and its services for end-to-end machine learning workflows.
• Practical demonstrations of building, training, and deploying machine learning models in the cloud.
• Hands-on experience with data preparation and feature engineering using Azure’s data tools.
• In-depth coverage of model tuning and performance optimization techniques with Azure ML.

Who Should Take This Course:

• Data scientists and machine learning engineers looking to develop and deploy models using Azure’s scalable machine learning tools.
• Developers and AI professionals who want to integrate machine learning capabilities into cloud-based applications.
• IT professionals aiming to automate machine learning workflows and manage the lifecycle of machine learning projects in Azure.

Prerequisites:

Basic knowledge of machine learning concepts is recommended, but no prior experience with Azure Machine Learning is required.

Course Format:

• Duration: 1.5 hours
• Level: Intermediate
• Delivery: Self-paced course with hands-on labs, demos, and step-by-step guidance.

Enroll in this course to learn how to leverage Azure’s cutting-edge machine learning services to streamline the development, training, and deployment of your machine learning models in the cloud.