Course Summary
Learn how to use Microsoft Azure Machine Learning to build, train and deploy machine learning models on the cloud.Key Learning Points
- Understand the core concepts of machine learning and how it can be applied to real-world problems
- Learn how to use Azure Machine Learning Studio to build and train models
- Deploy and manage models on the cloud using Azure Machine Learning
Job Positions & Salaries of people who have taken this course might have
- USA: $120,000
- India: ₹1,000,000
- Spain: €45,000
- USA: $120,000
- India: ₹1,000,000
- Spain: €45,000
- USA: $140,000
- India: ₹1,200,000
- Spain: €50,000
- USA: $120,000
- India: ₹1,000,000
- Spain: €45,000
- USA: $140,000
- India: ₹1,200,000
- Spain: €50,000
- USA: $150,000
- India: ₹1,500,000
- Spain: €60,000
Related Topics for further study
Learning Outcomes
- Build and train machine learning models using Azure Machine Learning
- Deploy and manage models on the cloud
- Apply machine learning to real-world problems
Prerequisites or good to have knowledge before taking this course
- Basic knowledge of programming and statistics
- Access to Azure Machine Learning Studio
Course Difficulty Level
IntermediateCourse Format
- Online course
- Self-paced
- Video lectures
- Hands-on exercises
Similar Courses
- IBM Data Science Professional Certificate
- Google Cloud Platform Fundamentals: Core Infrastructure
Related Education Paths
Notable People in This Field
- Andrew Ng
- Fei-Fei Li
Related Books
Description
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, you will learn how to use Azure Machine Learning to create and publish models without writing code.
Outline
- 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 WorkspaceÂ
- 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 ServiceÂ
- 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 PipelineÂ
- Exercise Part 5: Evaluate a Regression ModelÂ
- Exercise Part 6: Create an Inference PipelineÂ
- Exercise Part 7: Deploy a Predictive Service
- Exercise Part 8: Clean-upÂ
- 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
- Exercise: Create a Microsoft Azure Machine Learning workspace
- Exercise Part 1: Create Compute Resources
- Exercise Part 2: Explore DataÂ
- Exercise Part 3: Create and Run a Training PipelineÂ
- Exercise Part 4: Evaluate a Classification ModelÂ
- Exercise Part 5: Create an Inference PipelineÂ
- Exercise Part 6: Deploy a Predictive ServiceÂ
- Exercise Part 7: Clean-upÂ
- What to expect next
- Exercise Quiz
- Knowledge Check
- Test Prep
Summary of User Reviews
Discover the power of machine learning with Microsoft Azure. This course offers a comprehensive introduction to Azure and its capabilities. Students praise its practical approach and the instructor's expertise. Overall, it is highly recommended for beginners looking to learn about machine learning with Azure.Key Aspect Users Liked About This Course
Practical approach to learning Azure and machine learningPros from User Reviews
- Instructor is knowledgeable and engaging
- Hands-on exercises and real-world examples
- Clear explanations of complex concepts
- Well-structured course content
- Great for beginners
Cons from User Reviews
- Some sections may be too basic for experienced users
- Limited focus on advanced topics
- Not all topics are covered in-depth
- Some technical issues with the platform
- Could benefit from more interactive elements
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