Machine Learning Workshop with Amazon Sagemaker (Virtual)

​This hands-on workshop introduces participants to Amazon SageMaker, a fully managed machine learning service that simplifies the process of building and deploying ML models. Participants will learn how to overcome common challenges in ML development, including data preparation, model training and model deployment through practical exercises using SageMaker's comprehensive toolset.Who Should Attend: This workshop is ideal for developers, data scientists, and technical professionals who want to learn practical machine learning implementation. Participants will gain hands-on experience with real-world data, learning how to take ML models from concept to production efficiently.Speakers:
Marco Muttoni, Kait Healy, Nicolas de Place, Yash SinghAgenda ( All times in CEST )

1. ​Introduction to the workshop ( 10:00 am - 10:20 am )

2. ​Explore various Feature Engineering methods that are available from SageMaker Studio ( 10:20 - 11:20 am )

3. ​Coffee break ( 11:20 am - 11:30 am )

4. ​Train, Tune and Deploy an XGBoost model using Amazon SageMaker built-in algorithm ( 11:30 am - 12:15 pm )

5. ​Conclusion and Clean up ( 12:15 pm - 12:30 pm )