The complete Azure Machine learning course - 2025 Edition
Master Machine Learning with Azure ML Studio – Build, Train & Deploy AI Models Using No-Code & Python.What you'll learn
- Learn about supervised, unsupervised, and reinforcement learning, key concepts like training data, models, predictions, and real-world applications.
- Navigate and utilize Azure ML Studio's tools, including Designer, Notebooks, Automated ML, and Model Management.
- Load, clean, transform, and engineer features using Azure ML Studio to optimize model performance.
- Use Azure ML Studio’s visual interface and custom Python scripts to create, train, and evaluate machine learning models.
- Apply hyperparameter tuning, cross-validation, and automated ML techniques to enhance model accuracy and efficiency.
- Learn different model deployment strategies, including real-time inference, batch inference, and Edge deployments using Azure Kubernetes Service (AKS) and Azure
- Create reusable machine learning workflows using Azure ML Pipelines for training, evaluation, and deployment automation.
- Set up CI/CD pipelines, automate model retraining, monitor model drift, and ensure security and compliance with Azure DevOps.
- Work with GPT, DALL·E, Stable Diffusion, and Codex, fine-tune AI models, and apply responsible AI principles for fairness and transparency.
- Work through multiple demos, labs, and real-world projects to gain practical experience in Azure Machine Learning.
