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MLOps1 (Azure): Deploying AI & ML Models in Production using Microsoft Azure Machine Learning

4.66 ratings

Most data science projects fail. There are various reasons why, but one of the primary reasons is the challenge of deployment. One piece to the deployment puzzle is understanding how data engineers can effectively work with data scientists to monitor and iterate on model performance, which is why w…

edX
4 weeks, 5 - 7 hours per week
Self-paced
Free to audit
Paid certificate
Intermediate

Statistics.com

MLOps2 (Azure): Data Pipeline Automation & Optimization using Microsoft Azure Machine Learning

Most data science projects fail. There are various reasons why, but one of the primary reasons is the challenge of deployment. One piece to the deployment puzzle is understanding how to automate your pipeline’s functions and continuously optimize its performance, which is why we developed this cour…

edX
4 weeks, 5 - 7 hours per week
Self-paced
Free to audit
Paid certificate
Intermediate

Statistics.com

MLOps1 (AWS): Deploying AI & ML Models in Production using Amazon Web Services

Most data science projects fail. There are various reasons why, but one of the primary reasons is the challenge of deployment. One piece to the deployment puzzle is understanding how data engineers can effectively work with data scientists to monitor and iterate on model performance, which is why w…

edX
4 weeks, 5 - 7 hours per week
Self-paced
Free to audit
Paid certificate
Intermediate

Statistics.com

Predictive Analytics: Basic Modeling Techniques

What is Predictive Analytics? These methods lie behind the most transformative technologies of the last decade, that go under the more general name Artificial Intelligence or AI. In this course, the focus is on the skills that will allow you to fit a model to data, and measure how well it performs.…

edX
4 weeks, 5 - 7 hours per week
Self-paced
Free to audit
Paid certificate
Intermediate

Statistics.com

MLOps1 (GCP): Deploying AI & ML Models in Production using Google Cloud Platform

Most data science projects fail. There are various reasons why, but one of the primary reasons is the challenge of deployment. One piece to the deployment puzzle is understanding how data engineers can effectively work with data scientists to monitor and iterate on model performance, which is why w…

edX
4 weeks, 5 - 7 hours per week
Self-paced
Free to audit
Paid certificate
Intermediate

Statistics.com

MLOps2 (AWS): Data Pipeline Automation & Optimization using Amazon Web Services

Most data science projects fail. There are various reasons why, but one of the primary reasons is the challenge of deployment. One piece to the deployment puzzle is understanding how to automate your pipeline’s functions and continuously optimize its performance, which is why we developed this cour…

edX
4 weeks, 5 - 7 hours per week
Self-paced
Free to audit
Paid certificate
Intermediate

Statistics.com

MLOps2 (GCP): Data Pipeline Automation & Optimization using Google Cloud Platform

Most data science projects fail. There are various reasons why, but one of the primary reasons is the challenge of deployment. One piece to the deployment puzzle is understanding how to automate your pipeline’s functions and continuously optimize its performance, which is why we developed this cour…

edX
4 weeks, 5 - 7 hours per week
Self-paced
Free to audit
Paid certificate
Intermediate

Statistics.com

Principles of Data Science Ethics

Concern about the harmful effects of machine learning algorithms and AI models (bias and more) has resulted in greater attention to the fundamentals of data ethics. This data science ethics course for both practitioners and managers provides guidance and practical tools to build better models and a…

edX
4 weeks, 4 - 5 hours per week
Self-paced
Free to audit
Paid certificate
Intermediate

Statistics.com

Applied Data Science Ethics

AI’s popularity has resulted in numerous well-publicized cases of bias, injustice, and discrimination. Often these harms occur in machine learning projects that have the best of goals, developed by data scientists with good intentions. This course, the second in the data science ethics program for…

edX
4 weeks, 4 - 5 hours per week
Self-paced
Free to audit
Paid certificate
Intermediate