Azure Data Scientist

This training helps you design, build, and deploy machine learning models and AI-empowered solutions at a professional level. The program follows the official Microsoft curriculum and covers the following core technical domains: Machine Learning Solutions, Run AI Experiments, Train AI Models and Optimize AI Models.

You will learn how to use Azure Machine Learning workspaces, compute resources, and datastores to manage the end-to-end machine learning lifecycle. The training covers designing automated machine learning (AutoML) solutions, building models using Python frameworks such as Scikit-learn and TensorFlow/PyTorch, and implementing hyperparameter tuning for model optimization. You will also explore deploying models as endpoint services in production environments, implementing monitoring, and applying responsible AI principles including fairness, explainability, privacy, and security to ensure ethical and compliant AI solutions.

By completing this program, you will develop the subject matter expertise required to participate in all phases of machine learning solution development, from data preparation and model training through deployment and ongoing monitoring. The certification demonstrates to employers that you can handle the end-to-end responsibilities of an Azure data scientist and AI engineer.