Developing your First ML Workflow

Offered byUDACITY

Developing your First ML Workflow
at
UDACITY
Overview

Duration	4 weeks
Total fee	₹20,500
Mode of learning	Online
Difficulty level	Intermediate
Official Website	Go to Website
Credential	Certificate

Developing your First ML Workflow
at
UDACITY
Highlights

Flexible learning program
Technical mentor support
Practical tips and industry best practices
Unlimited submissions and feedback loops
Additional suggested resources to improve

Developing your First ML Workflow
at
UDACITY
Course details

What are the course deliverables?

AWS lambda
Sagemaker processing
Sagemaker batch transform jobs
Sagemaker training jobs
Sagemaker clarify
Machine learning pipeline creation

More about this course

Enhance your skills in Machine Learning Workflows with our comprehensive course. Gain expertise in how to create general machine learning workflows on AWS.

Developing your First ML Workflow
at
UDACITY
Curriculum

Introduction to Developing ML Workflows

SageMaker Essentials

Designing Your First Workflow

Monitoring a ML Workflow

Project: Build a ML Workflow For Scones Unlimited On Amazon SageMaker

Developing your First ML Workflow
at
UDACITY
Faculty details

Charles Landau

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

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.