In this hands-on workshop, we will build an end-to-end AI/ML pipeline for natural language processing with Amazon SageMaker.
Attendees will learn how to:
Ingest data into S3 using Amazon Athena & the Parquet data format
Visualize data with pandas, matplotlib on SageMaker notebooks
Run data bias analysis with SageMaker Clarify
Perform feature engineering on a raw dataset using Scikit-Learn & SageMaker Processing Jobs
Store & share features using SageMaker Feature Store
Train & evaluate a custom BERT model using TensorFlow, Keras, & SageMaker Training Jobs
Evaluate the model using SageMaker Processing Jobs
Track model artifacts using Amazon SageMaker ML Lineage Tracking
Run model bias & explainability analysis with SageMaker Clarify
Register & version models using SageMaker Model Registry
Deploy a model to a REST Inference Endpoint using SageMaker Endpoints
Automate ML workflow steps by building end-to-end model pipelines using SageMaker Pipelines
Principal Developer Advocate, AI & Machine Learning, AWS
Chris is a Developer Advocate for AI & Machine Learning at Amazon Web Services (AWS) based in San Francisco, California. He is co-author of the O'Reilly Book, "Data Science on AWS". Chris is also the founder of many AI-focused global meetups including the global "Data Science on AWS" Meetup. He regularly speaks at AI & Machine Learning conferences across the world including O'Reilly AI, Open Data Science Conference (ODSC), & Nvidia GPU Technology Conference (GTC).
Previously, Chris was Founder at PipelineAI where he worked with many AI-first startups & enterprises to continuously deploy ML/AI Pipelines using Spark ML, Kubernetes, TensorFlow, Kubeflow, Amazon EKS, & Amazon SageMaker.
Senior Developer Advocate, AI & Machine Learning, AWS
Antje is a Developer Advocate for AI & Machine Learning at Amazon Web Services (AWS) based in Dsseldorf, Germany. She is co-author of the O'Reilly Book, "Data Science on AWS".
Antje is also co-founder of the Dsseldorf chapter of Women in Big Data. She frequently speaks at AI & Machine Learning conferences & meetups around the world, including the O'Reilly AI & Strata conferences. Besides ML/AI, Antje is passionate about helping developers leverage Big Data, container & Kubernetes platforms in the context of AI & Machine Learning.
Previously, Antje worked in technical evangelism & solutions engineering at MapR & Cisco where she worked with many companies to build & deploy cloud-based AI solutions using AWS & Kubernetes.