Lesson 1
Introduction to Developing ML Workflows
This lesson gives an introduction to the course, including prerequisites, final project, stakeholders, and tools & environment.
Developing your First ML Workflow
Course
This course discusses how to use AWS services to train a model, deploy a model, and how to use AWS Lambda Functions, Step Functions to compose your model and services into an event-driven application.
This course discusses how to use AWS services to train a model, deploy a model, and how to use AWS Lambda Functions, Step Functions to compose your model and services into an event-driven application.
Built in collaboration with
AWS
Intermediate
4 weeks
Real-world Projects
Completion Certificate
Last Updated February 26, 2024
AWS lambda • Sagemaker processing • Sagemaker batch transform jobs • Sagemaker training jobs
Machine learning fluency • AWS familiarity • API proficiency
Course Lessons
Lesson 2
SageMaker Essentials
This lesson will go over SageMaker essential services such as training jobs, endpoints, batch transforms, and processing jobs.
Lesson 3
Designing Your First Workflow
This lesson will discuss machine learning workflows and AWS tools such as Lambda, Step Function for building a workflow.
Lesson 4
Monitoring a ML Workflow
This lesson will go over monitoring a machine learning workflow and some useful services within AWS to help you monitoring the healthy of data and machine learning models.
Lesson 5 • Project
Project: Build a ML Workflow For Scones Unlimited On Amazon SageMaker
In the project, you will build and ship an image classification model with AWS SageMaker for Scones Unlimited, a scone-delivery-focused logistic company.
Taught By The Best
Charles Landau
Technical Lead, AI/ML - Guidehouse
Charles holds a MPA from George Washington University, where he focused on econometrics and regulatory policy, and holds a BA from Boston University. At Guidehouse, he supports data scientists and developers working on internal and client-facing ML platforms.
Joseph Nicolls
Senior Machine Learning Engineer - Blue Hexagon
Joseph Nicolls is a senior machine learning scientist at Blue Hexagon. With a major in Biomedical Computation from Stanford University, he currently utilizes machine learning to build malware-detecting solutions at Blue Hexagon.
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Get Started Today
Developing your First ML Workflow
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4 weeks
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4 weeks
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(87)
4 months
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(41)
5 months
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(67)
3 months
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3 weeks
, Intermediate
4 weeks
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4 weeks
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4 months
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