Microsoft Certified: Azure Data Scientist Associate

The Microsoft Certified: Azure Data Scientist Associate course is designed for data professionals who want to enhance their skills in building, training, and deploying machine learning models on Microsoft Azure. Participants will learn how to analyze data, develop predictive models, and leverage cloud-based AI solutions to solve real-world business problems.

This course covers key topics such as data exploration, feature engineering, model training, evaluation, and deployment using Azure Machine Learning services. Learners will gain hands-on experience with data preprocessing, supervised and unsupervised learning, automated machine learning (AutoML), and model monitoring to ensure high-quality, accurate predictions.

Participants will also understand data strategy, Azure AI integration, and best practices for data science workflows, enabling them to design scalable and efficient machine learning pipelines. The program emphasizes practical applications, empowering data scientists to make data-driven decisions that support organizational goals.

This training is ideal for data scientists, machine learning engineers, AI developers, and IT professionals who want to certify their expertise with the Microsoft Azure platform. By completing the course, participants will be prepared to earn the Microsoft Certified: Azure Data Scientist Associate certification and apply their knowledge to advanced data science projects in the cloud

• Understand the Azure Machine Learning environment and its components.
• Prepare and transform data for machine learning applications.
• Build, evaluate, and optimize machine learning models using Azure ML.
• Deploy machine learning models as web services and integrate them into applications.
• Manage and govern machine learning models throughout their lifecycle.
• Apply best practices for ethical AI and data science.