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
Live Training Days
Lab Assignments
Azure Sandbox
Practice Exam
Exam Voucher
Day Lab Access
Training Details
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.
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
Getting Started with Azure Machine Learning
Working with Azure Machine Learning
Knowledge Check
Lab Exercises
Visual Tools for Machine Learning
Automated Machine Learning
Azure Machine Learning Designer
Knowledge Check
Lab Exercises
Use Azure Machine Learning Designer
Running Experiments and Training Models
Training and Registering Models
Knowledge Check
Lab Exercises
Train Models
Working with Data
Working with Datastores
Working with Datasets
Knowledge Check
Lab Exercises
Working with Compute
Environments
Compute Targets
Knowledge Check
Lab Exercises
Orchestrating Machine Learning Workflows
Publishing and Running Pipelines
Knowledge Check
Lab Exercises
Deploying and Consuming Models
Real-Time Inferencing
Batch Inferencing
Continuous Integration and Delivery
Knowledge Check
Lab Exercises
Create a Batch Inference Service
Training Optimal Models
Hyperparameter Tuning
Automated Machine Learning
Knowledge Check
Lab Exercises
Use Automated Machine Learning from the SDK
Responsible Machine Learning
Differential Privacy
Model Interpretability
Fairness
Knowledge Check
Lab Exercises
Interpret Models
Detect and Mitigate Unfairness
Monitoring Models
Monitoring Models with Application Insights
Monitoring Data Drift
Knowledge Check
Lab Exercises
Monitor Data Drift
Request A Classroom Training
Feel free to request a classroom training with me by filling in this contact form. I will contact you asap to discuss your business requirements, team size and preferred location of the training to make sure your team members get what they need.
A typical classroom training can usually be scheduled within 30 days and can accommodate up to 15 people on-site or online.
Looking For Something Else?
Related Online Training
Would you rather train in your own time and at your own pace? Then please check out my Online AI training courses.
Chibuike Kenneth, online student
Frequently Asked Questions
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