DP-100: Microsoft Azure Data Scientist
In this 4-day training, you will learn how to design and implement Data Science Solutions and operate machine learning workloads at cloud scale using Azure Machine Learning.
The course will teach you how to manage Azure resources for machine learning, upload and prepare datasets for training, run experiments, train predictive models, manage and deploy machine learning models in production, and monitor cloud resource usage. Everything you need to become a Microsoft Azure Data Scientist!
This training prepares you for the Azure Data Scientist exam and certification.
Here’s What You’ll Get
Training Details
This training will provide you the knowledge and skills to design and implement Data Science Solutions for the Microsoft Azure environment.
You will learn how to manage Azure resources for machine learning, upload and prepare datasets for training, run experiments and train models. In addition, I’ll teach you to deploy and operationalize machine learning solutions in production, implement responsible AI… and much more!
The training combines lectures with lab exercises to help you understand the contents. As part of this training, you´ll receive an Azure Pass with credits to spend on your own cloud services. The pass is valid for 30 days.
Name: DP-100 Microsoft Azure Data Scientist.
Format: Classroom.
Content: training manual, case studies, lab exercises, Azure cloud credit, practice exam, and an exam voucher.
Requirements: a laptop with a web browser installed. Chrome or Edge is recommended. Students must have knowledge and experience in data science and machine learning.
Support: Live classroom support.
Associated certification: Microsoft Azure Data Scientist.
Training Curriculum
Introduction
Course Intro: About this course
Getting Started with Azure Machine Learning
Introduction
Working with Azure Machine Learning
Knowledge Check
Lab Exercises
Create an Azure Machine Learning Workspace
Visual Tools for Machine Learning
Introduction
Automated Machine Learning
Azure Machine Learning Designer
Knowledge Check
Lab Exercises
Use Automated Machine Learning
Use Azure Machine Learning Designer
Running Experiments and Training Models
Introduction
Training and Registering Models
Knowledge Check
Lab Exercises
Run Experiments
Train Models
Working with Data
Introduction
Working with Datastores
Working with Datasets
Knowledge Check
Lab Exercises
Work with Data
Working with Compute
Introduction
Environments
Compute Targets
Knowledge Check
Lab Exercises
Work with Compute
Orchestrating Machine Learning Workflows
Introduction to Pipelines
Publishing and Running Pipelines
Knowledge Check
Lab Exercises
Create a Pipeline
Deploying and Consuming Models
Introduction
Real-Time Inferencing
Batch Inferencing
Continuous Integration and Delivery
Knowledge Check
Lab Exercises
Create a Real-Time Inference Service
Create a Batch Inference Service
Training Optimal Models
Introduction
Hyperparameter Tuning
Automated Machine Learning
Knowledge Check
Lab Exercises
Tune Hyperparameters
Use Automated Machine Learning from the SDK
Responsible Machine Learning
Introduction
Differential Privacy
Model Interpretability
Fairness
Knowledge Check
Lab Exercises
Explore Differential Privacy
Interpret Models
Detect and Mitigate Unfairness
Monitoring Models
Introduction
Monitoring Models with Application Insights
Monitoring Data Drift
Knowledge Check
Lab Exercises
Monitor a Model
Monitor Data Drift
Book a Classroom Training
Please use the form below to book a call with me to set up your classroom training. We’ll discuss your business requirements, team size, and preferred location of the training (online or on-site) and make sure you get what you need. A typical classroom training can usually be scheduled within 30 days and can accomodate up to 15 people on-site and 30 people online.
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“Finally finished this course. Would totally recommend. Thanks Mark!’