By the end of the programme, participants will be able to:

• Design and manage end-to-end machine learning workflows using Azure Machine Learning
• Prepare, manage, and process data for machine learning model development
• Build, train, evaluate, and optimize machine learning models using Python and Azure Machine Learning tools
• Utilize automated machine learning and no-code tools to accelerate model development
• Configure cloud-based compute resources and environments for scalable model training
• Develop and automate machine learning pipelines using MLOps best practices
• Deploy machine learning models for real-time and batch inference in production environments
• Monitor deployed models, detect data drift, and maintain model performance over time
• Apply responsible AI principles, including fairness, model interpretability, and privacy, in machine learning solutions