Key Components
- AutoML: Discover automated machine learning capabilities that simplify model selection and training.
- Pipelines: Learn to design and manage end-to-end machine learning workflows effectively.
- Data Drift: Understand how to monitor and address data drift to maintain model performance.
- ML Ops: Explore best practices for deploying and managing machine learning models in production.
- Responsible ML: Gain insights into fairness and interpretability in machine learning applications.
Your Benefits
- Expert Services: Get first-hand insights and guidance from the experts.
- Enhanced Understanding: Build a solid foundation in Azure Machine Learning Services and their features.
- Practical Experience: Participate in hands-on sessions that provide real-world scenarios and applications.
- Strategic Insights: Learn to effectively implement machine learning solutions tailored to your organizational goals.
- Networking Opportunities: Connect with like-minded professionals and expand your industry connections.
