AutoML with SageMaker (AWS)
Automate Machine Learning with Amazone's SageMaker
Service Description
AutoML with SageMaker (AWS) – Course Overview Unlock the potential of AutoML with Amazon SageMaker to streamline machine learning workflows in the oil and gas industry. This hands-on course is designed to help professionals configure AWS, set up SageMaker, and automate the training, evaluation, and deployment of machine learning models. Using a rock facies dataset, participants will learn to efficiently solve complex geoscience challenges with minimal coding, leveraging the full potential of AutoML in a cloud environment. Course Structure This course combines practical lectures and hands-on labs, providing a structured pathway for mastering AutoML with SageMaker: Getting Started with AWS SageMaker Learn the basics of SageMaker and AutoML. Set up your AWS account, configure SageMaker instances, and explore the platform’s features. Exploring the Rock Facies Dataset Understand the structure and importance of the rock facies dataset. Prepare it for machine learning workflows in SageMaker. Data Preparation and Preprocessing Use SageMaker Data Wrangler to clean, transform, and preprocess data for optimal model performance. Setting Up AutoML Jobs Configure and execute AutoML jobs to automate model training and evaluation. Define objectives like classification or regression tailored to geoscience. Model Evaluation and Selection Explore SageMaker’s automatic model selection process to choose the best-performing model with detailed performance metrics. Deploying Models Learn to deploy trained models to production using SageMaker endpoints. Manage and monitor deployed models effectively. Advanced Applications in Geoscience Apply AutoML outputs to geological workflows such as facies classification and predictive modeling. What You’ll Learn Configure AWS and SageMaker for AutoML workflows. Prepare geoscience datasets for machine learning using Data Wrangler. Automate model training, evaluation, and selection with AutoML. Deploy machine learning models for real-world applications. Use AutoML to classify facies and generate geological insights. Who Should Enroll This course is ideal for geoscientists, engineers, and data professionals seeking to automate and enhance their machine learning workflows. Join "AutoML with SageMaker (AWS)" today to master AutoML workflows and transform your geoscience analytics.
Upcoming Sessions
Contact Details
+14033972876
ryan.mardani@dataenergy.ca
Calgary, AB T2P 0J8, Canada