Build ML Apps 10x Faster with Amazon Sagemaker

Amazon SageMaker helps data scientists and developers to prepare, build, train, and deploy high-quality machine learning (ML) models quickly by bringing together a broad set of capabilities purpose-built for ML.

Date & Time: 15 October 2021 | 2pm-5pm

Mode: Teams Live Event 

Speaker: Miguel Saavedra 

Target Audience: ML experts, technology leaders, and those who are just getting started in ML 

Module 1: Introduction to machine learning 

• Types of ML 
• Job Roles in ML 
• Steps in the ML pipeline 

Module 2: Introduction to data prep and SageMaker  

• Training and test dataset defined 
• Introduction to SageMaker 
• Demonstration: SageMaker console 
• Demonstration: Launching a Jupyter notebook 

Module 3: Training and evaluating a model  

• Types of algorithms 
• XGBoost and SageMaker 
• Demonstration: Training the data 
• Demonstration: hyper parameter tuning with SageMaker 
• Demonstration: Evaluating model performance 

Module 4: Automatically tune a model 

• Automatic hyper parameter tuning with SageMaker 

Module 5: Deployment / production readiness 

• Deploying a model to an endpoint 
• Demonstration: Configure an ML Endpoint