20774: Perform Cloud Data Science with Azure Machine Learning Training & Certification Course

 Module 1: Introduction to Machine Learning

This module introduces machine learning and discussed how algorithms and languages are used.

Lessons

•  What is machine learning?
•  Introduction to machine learning algorithms
•  Introduction to machine learning languages

Lab : Introduction to Machine Learning

 Sign up for Azure machine learning studio account

 View a simple experiment from the gallery

 Evaluate an experiment

Module 2: Introduction to Azure Machine Learning

Describe the purpose of Azure Machine Learning, and list the main features of Azure Machine Learning Studio.

Lessons

•  Azure machine learning overview
•  Introduction to Azure machine learning studio
•  Developing and hosting Azure machine learning applications

Lab : Introduction to Azure machine learning

•  Explore the Azure machine learning studio workspace
•  Clone and run a simple experiment
•  Clone an experiment, make some simple changes, and run the experiment

Module 3: Managing Datasets

At the end of this module, the student will be able to upload and explore various types of data in Azure machine learning.

Lessons

•  Categorizing your data
•  Importing data to Azure machine learning
•  Exploring and transforming data in Azure machine learning

Lab: Managing Datasets

•  Prepare Azure SQL database
•  Import data
•  Visualize data
•  Summarize data

Module 4: Preparing Data for use with Azure Machine Learning

This module provides techniques to prepare datasets for use with Azure machine learning.

Lessons

•  Data pre-processing
•  Handling incomplete datasets

Lab : Preparing data for use with Azure machine learning

•  Explore some data using Power BI
•  Clean the data

Module 5: Using Feature Engineering and Selection

This module describes how to explore and use feature engineering and selection techniques on datasets that are to be used with Azure machine learning.

Lessons

•  Using feature engineering
•  Using feature selection

Lab : Using feature engineering and selection

•  Prepare datasets
•  Use Join to Merge data

Module 6: Building Azure Machine Learning Models

This module describes how to use regression algorithms and neural networks with Azure machine learning.

Lessons

•  Azure machine learning workflows
•  Scoring and evaluating models
•  Using regression algorithms
•  Using neural networks

Lab : Building Azure machine learning models

•  Using Azure machine learning studio modules for regression
•  Create and run a neural-network-based application

Module 7: Using Classification and Clustering with Azure machine learning models

This module describes how to use classification and clustering algorithms with Azure machine learning.

Lessons

•  Using classification algorithms
•  Clustering techniques
•  Selecting algorithms

Lab: Using classification and clustering with Azure machine learning models

•  Using Azure machine learning studio modules for classification.
•  Add k-means section to an experiment
•  Add PCA for anomaly detection.
•  Evaluate the models

Module 8: Using R and Python with Azure Machine Learning

This module describes how to use R and Python with azure machine learning and choose when to use a particular language.

Lessons

•  Using R
•  Using Python
•  Incorporating R and Python into Machine Learning experiments

Lab : Using R and Python with Azure machine learning

•  Exploring data using R
•  Analyzing data using Python

Module 9: Initializing and Optimizing Machine Learning Models

This module describes how to use hyper-parameters and multiple algorithms and models, and be able to score and evaluate models.

Lessons

•  Using hyper-parameters
•  Using multiple algorithms and models
•  Scoring and evaluating Models

Lab: Initializing and optimizing machine learning models

•  Using hyper-parameters

Module 10: Using Azure Machine Learning Models

This module explores how to provide end-users with Azure machine learning services, and how to share data generated from Azure machine learning models.

Lessons

 Deploying and publishing models

 Consuming Experiments

Lab: Using Azure machine learning models

 Deploy machine learning models

 Consume a published model

Module 11: Using Cognitive Services

This module introduces the cognitive services APIs for text and image processing to create a recommendation application and describes the use of neural networks with Azure machine learning.

Lessons

•  Cognitive services overview
•  Processing language
•  Processing images and video
•  Recommending products

Lab : Using Cognitive Services

•  Build a language application
•  Build a face detection application
•  Build a recommendation application

Module 12: Using Machine Learning with HDInsight

This module describes how to use HDInsight with Azure machine learning.

Lessons

•  Introduction to HDInsight
•  HDInsight cluster types
•  HDInsight and machine learning models

Lab: Machine Learning with HDInsight

•  Provision an HDInsight cluster
•  Use the HDInsight cluster with MapReduce and Spark

Module 13: Using R Services with Machine Learning

This module describes how to use R and R server with Azure machine learning, and explain how to deploy and configure SQL Server and support R services.

Lessons

•  R and R server overview
•  Using R server with machine learning
•  Using R with SQL Server