Microsoft - Microsoft Azure Machine Learning for Data Scientists
4.0 /5- Offered byCoursera
- Public/Government Institute
Microsoft Azure Machine Learning for Data Scientists at Coursera Overview
Duration | 11 hours |
Total fee | Free |
Mode of learning | Online |
Difficulty level | Intermediate |
Official Website | Explore Free Course  |
Credential | Certificate |
- Overview
- Highlights
- Course Details
- Curriculum
- Student Reviews
Microsoft Azure Machine Learning for Data Scientists at Coursera Highlights
- Flexible deadlines Reset deadlines in accordance to the schedule
- Earn a certificate upon completion from Coursera
Microsoft Azure Machine Learning for Data Scientists at Coursera Course details
- Machine learning is at the core of artificial intelligence, and many modern applications and services depend on predictive machine learning models Training a machine learning model is an iterative process that requires time and compute resources
- Automated machine learning can help make it easier
- In this course, learn how to use Azure Machine Learning to create and publish models without writing code
- This is the second course in a five-course program that prepares you to take the DP-100: Designing and Implementing a Data Science Solution on Azurecertification exam
Microsoft Azure Machine Learning for Data Scientists at Coursera Curriculum
Use Automated Machine Learning in Azure Machine Learning
Introduction to Create No-code Predictive Models with Azure Machine Learning
Azure Machine Learning to Train and Deploy a Predictive Model
Weekly Summary
Course Syllabus
How to be successful in this course
Exercise Part 1: Create a Microsoft Azure Machine Learning Workspace
Exercise Part 2: Create Compute Resources?
Exercise Part 3: Explore Data
Exercise Part 4: Train a Machine Learning Model
Exercise Part 5: Deploy a Model as a Service
Exercise Part 6: Clean-up
Exercise Quiz
Knowledge Check
Test Prep
Create a Regression Model with Azure Machine Learning Designer
What is Regression?
Weekly Summary
Exercise Part 1: Create a Microsoft Azure Machine Learning Workspace
Exercise Part 2: Create Compute Resources
Exercise Part 3: Explore Data
Exercise Part 4: Create and Run a Training Pipeline
Exercise Part 5: Evaluate a Regression Model
Exercise Part 6: Create an Inference Pipeline
Exercise Part 7: Deploy a Predictive Service
Exercise Part 8: Clean-up
Exercise Quiz
Knowledge Check
Test Prep
Create a Classification Model with Azure AI
What is Classification?
Weekly Summary
Exercise Part 1: Create an Azure Machine Learning Workspace
Exercise Part 2: Create Compute Resources
Exercise Part 3: Explore Data
Exercise Part 4: Create and Run a Training Pipeline
Exercise Part 5: Evaluate a Classification Model
Exercise Part 6: Create an Inference Pipeline
Exercise Part 7: Deploy a predictive service
Exercise Part 8: Clean-up
Exercise Quiz
Knowledge Check
Test Prep
Create a Clustering Model with Azure AI
What is Clustering?
Weekly Summary
Course wrap-up
Exercise: Create a Microsoft Azure Machine Learning workspace
Exercise Part 1: Create Compute Resources
Exercise Part 2: Explore Data
Exercise Part 3: Create and Run a Training Pipeline
Exercise Part 4: Evaluate a Classification Model
Exercise Part 5: Create an Inference Pipeline
Exercise Part 6: Deploy a Predictive Service
Exercise Part 7: Clean-up
What to expect next
Exercise Quiz
Knowledge Check
Test Prep
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Microsoft Azure Machine Learning for Data Scientists at Coursera Students Ratings & Reviews
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