Testimonials

NIST Cybersecurity Framework Bootcamp — The in-depth look into not only what the standards are, but how to apply them, was extremely helpful. I very much appreciate the practical examples that were given.

MSPL-900T00: Microsoft Power Platform Fundamentals — Instructor did an awesome job tying the material we were learning to real world scenarios and giving examples of how he has used in the real world.

Microsoft Excel 2019: Part 1 — The shortcuts that I learned; they will save me so much time in the future. I plan to apply this content to future spreadsheets I will create and/or modify.

CompTIA CySA+ Cybersecurity Analyst — Everything I learned had real-life examples of what I experience in my work field on a day-to-day basis.

AZ-040T00: Automating Administration with Windows PowerShell — Instructor took personal interest in what we were there for and kept an upbeat tone for each lesson. He was able to expound upon any question we asked.

Microsoft Office 365 Online (with Teams for the Desktop) — I knew nothing about 365. That has changed. Thank you!

Implementing and Configuring Cisco Identity Services Engine (SISE) — The class was great at teaching all the different parts of Cisco ISE and the labs were very helpful with setting up a new server and configuring.

NIST Cybersecurity Framework Foundation — Thanks to the Cybersecurity Foundation course, I feel confident in my ability to help assess the state of our current profile and to help implement changes to make our website safer.

MS-DP-100T01 - Designing and Implementing a Data Science Solution on Azure

Learn how to operate machine learning solutions at cloud scale using Azure Machine Learning. This course teaches you to leverage your existing knowledge of Python and machine learning to manage data ingestion and preparation, model training and deployment, and machine learning solution monitoring in Microsoft Azure.

****This course is not Microsoft Software Assurance Training Voucher (SATV) eligible.****

****This course is not Microsoft Software Assurance Training Voucher (SATV) eligible.****
Audience profile
This course is designed for data scientists with existing knowledge of Python and machine learning frameworks like Scikit-Learn, PyTorch, and Tensorflow, who want to build and operate machine learning solutions in the cloud.

Instructor did a great job, from experience this subject can be a bit dry to teach but he was able to keep it very engaging and made it much easier to focus. Student

Excellent presentation skills, subject matter knowledge, and command of the environment. Student

Instructor was outstanding. Knowledgeable, presented well, and class timing was perfect. Student

This Course Uses Only Digital Curriculum »

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Prerequisites

Before attending this course, students must have:
A fundamental knowledge of Microsoft Azure
Experience of writing Python code to work with data, using libraries such as Numpy, Pandas, and Matplotlib.
Understanding of data science; including how to prepare data, and train machine learning models using common machine learning libraries such as Scikit-Learn, PyTorch, or Tensorflow.

Detailed Class Syllabus

Module 1: Doing Data Science on Azure

Introduce the Data Science Process
Overview of Azure Data Science Options
Introduce Azure Notebooks

Module 2: Doing Data Science with Azure Machine Learning service

Introduce Azure Machine Learning (AML) service
Register and deploy ML models with AML service

Module 3: Automate Machine Learning with Azure Machine Learning service

Automate Machine Learning Model Selection
Automate Hyperparameter Tuning with HyperDrive

Module 4: Manage and Monitor Machine Learning Models with the Azure Machine Learning service

Manage and Monitor Machine Learning Models