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Designing and Implementing a Data Science Solution on Azure (DP-100.1)

This course provides professionals with the conceptual knowledge of Microsoft Azure Support Services and Data Science Solution and Processes.

Self-Paced

Learning Style

Microsoft

Provider

Intermediate

Difficulty

16 Hours

Course Duration

Course Info

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This course provides professionals with the conceptual knowledge of Microsoft Azure Support Services and Data Science Solution and Processes.

Course Information

About this Course:

This course provides professionals with the conceptual knowledge of Microsoft Azure Support Services and Data Science Solution and Processes. Through this course, professionals gain a high-level of Azure Data Science understanding and get to know about the leading data science solutions. Furthermore, professionals also learn the essentials of Azure Machine Learning Models Deployment & Training, and other Machine Learning Features & Services. They also learn the art of supporting automation in machine learning models and streamlining cognitive services.

This is an intermediate-level course and presents professionals with an opportunity to learn advanced-level skills. Professionals and candidates enrolling in this course need to have basic knowledge of Microsoft Azure in order to gain maximum advantage from the learning material of this course.

Course Objectives:

The core objective of this course is to help professionals gain a better understanding and conceptual knowledge of the following key elements:

  • Accounts Configuration of Microsoft Azure Cognitive Services
  • Fundamental Knowledge of Building Basic Chat Bots
  • Understanding Cognitive Services Consumption in Applications
  • The Fundamentals of LUIS and Bot Integration

Audience:

This course is specifically tailored for the following group of professionals and interested candidates:

  • Data Scientists
  • IT Professionals
  • Professionals Responsible for Deploying and Training Machine Learning Models
  • Azure App Developers

Prerequisite:

Professionals planning to enroll in the Designing and Implementing a Data Science Solution on Azure (DP-100.1) course must comply with the following prerequisites:

  • Fundamental Knowledge and Conceptual Understanding of Microsoft Azure
  • Familiarity with Key Concepts of Data Science, Data Preparation & Model Training
  • Basic Skills of Evaluating and Identifying Data Models
  • Programming and Coding Skills in Python Language
  • Know-how of Python Libraries such as Scikit-Learn, Seaborn, Matplotlib and Pandas

Outline

Course Endorsed By:

Author

Robert Utterback

Data Science Instructor

Robert Utterback is an assistant professor of computer science in the Department of Mathematics, Statistics, and Computer Science at Monmouth College in Monmouth, Illinois. His research specialty is parallel computing, with an emphasis on utilizing efficient run-time systems to detect bugs in parallel programs..

More Information

More Information
BrandMicrosoft
SubjectsCloud Computing
Lab AccessNo
TechnologyMicrosoft
Learning StyleSelf-Paced Learning
Learning TypeCourse
DifficultyIntermediate
Course Duration16 Hours
LanguageEnglish

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