This specialization features Coursera Coach! A smarter way to learn with interactive, real-time conversations that help you test your knowledge, challenge assumptions, and deepen your understanding as you progress through the specialization.
Learners will gain hands-on experience with Azure Machine Learning (Azure ML), a powerful platform for building, training, and deploying machine learning models. The course starts with foundational concepts such as supervised and unsupervised learning, model evaluation, and applications in industries like healthcare, finance, and retail. You will build the skills to effectively use Azure ML Studio and gain confidence in deploying machine learning models.
As the course progresses, you'll dive deeper into the Azure ML ecosystem, covering essential topics like data handling, preprocessing, and advanced deployment strategies using MLOps. Practical demos throughout the specialization will allow you to explore Azure’s tools, including model building with pre-built modules, hyperparameter tuning, and integrating Azure services. You’ll also tackle real-world challenges like data quality issues, model drift, and version control.
This specialization is perfect for those interested in machine learning and cloud technologies, ideal for beginners or those with a technical background. A basic understanding of programming or data science is helpful but not required.
Applied Learning Project
In this specialization, learners will engage in practical, hands-on projects where they’ll apply their knowledge to real-world datasets using Azure ML Studio. These projects will challenge learners to import datasets from various sources, preprocess data, and build machine learning models. They will also explore model evaluation techniques and deployment strategies, preparing learners to tackle authentic problems such as optimizing models for performance and scalability.
