This onsite and fee-based workshop is for individual participants from different companies.
The WorkshopPLUS – Machine Learning in a Day is an engaging session aimed at providing a comprehensive overview of Azure Machine Learning Service. In this workshop and participants will discover various features and capabilities and including AutoML and Pipelines and Data Drift monitoring and and ML Ops practices. The session will also address Responsible ML and emphasizing fairness and interpretability in machine learning models. With expert guidance and attendees will build a solid foundation in machine learning and enabling them to effectively utilize Azure’s powerful tools for their projects. This workshop is designed to enhance understanding and application in just one day.
Key Components
– Azure Machine Learning Service Overview: Gain a comprehensive understanding of the features and capabilities of Azure Machine Learning Service.
– AutoML: Learn how to automate model selection and tuning with Azure’s AutoML feature for optimized results.
– Pipelines: Discover how to create and manage end-to-end machine learning workflows using Azure Pipelines.
– Data Drift: Understand the importance of monitoring data drift and learn techniques to mitigate its impact on model performance.
– ML Ops: Explore best practices for implementing machine learning operations for continuous integration and deployment.
Your Benefits
– Expert Services: Get first-hand insights and guidance from the experts.
– Accelerated Learning: Acquire essential machine learning skills in just one day and enhancing your team’s capabilities.
– Practical Application: Engage in hands-on exercises that prepare you for real-world machine learning challenges.
– Network Opportunities: Connect with like-minded professionals and expand your network within the machine learning community.
– Future-Ready Solutions: Equip yourself with knowledge on responsible ML practices and ensuring ethical and interpretable AI deployment.
Contact us to book this workshop for your required number of participants. We will gladly provide you with more details.
