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.

AWS-MLPDSS - Practical Data Science with Amazon SageMaker

In this course, learn how to solve a real-world use case with machine learning and produce actionable results using Amazon SageMaker. This course teaches you how to use Amazon SageMaker to cover the different stages of the typical data science process, from analyzing and visualizing a data set, to preparing the data and feature engineering, down to the practical aspects of model building, training, tuning and deployment.

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

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Prerequisites

We recommend that attendees of this course have the following prerequisites:
Working knowledge of a programming language

Detailed Class Syllabus

Course Outline

* Business problem: Churn prediction
* Load and display the dataset
* Assess features and determine which Amazon SageMaker algorithm to use
* Use Amazon Sagemaker to train, evaluate, and automatically tune the model
* Deploy the model
* Assess relative cost of errors

AWS-MLPDSS - Practical Data Science with Amazon SageMaker

Student Testimonials

Prerequisites

Detailed Class Syllabus

Course Outline