Build Data Science Solutions with Azure

The demand for data professionals skilled in cloud platforms is rapidly growing. This course provides a clear path to understanding and applying data science principles within the Azure ecosystem. By completing this course, you will acquire the foundational knowledge and practical skills necessary to design, build, and deploy machine learning solutions using Azure Machine Learning and related services, enabling you to contribute to data-driven projects in the cloud. What you'll learn: * Learn the fundamental concepts of data science and machine learning * Understand the key services within Azure for data science workflows * Apply data preparation, feature engineering, and model training techniques * Build and deploy machine learning models using Azure Machine Learning * Configure MLOps practices for managing the lifecycle of ML solutions on Azure * Understand responsible AI principles and tools available in Azure for ethical model development * Practice evaluating and optimizing model performance for real-world scenarios The course begins with essential data science concepts and progressively introduces Azure services for data handling, model development, and deployment. You will then explore advanced topics like MLOps and responsible AI, culminating in practical application. This course is designed for absolute beginners interested in data science, machine learning, and cloud computing, with no prior experience in Azure or data science required. Begin your journey into cloud-based data science today.