DP-100T01: Designing and Implementing a Data Science Solution on Azure | IT Training & Certification | Info Trek
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DP-100T01: Designing and Implementing a Data Science Solution on Azure

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  1. 3 Days
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DP-100T01: Designing and Implementing a Data Science Solution on Azure

WHAT YOU WILL LEARN

Gain the necessary knowledge about how to use Azure services to develop, train, and deploy, machine learning solutions. The course starts with an overview of Azure services that support data science. From there, it focuses on using Azure's premier data science service, Azure Machine Learning service, to automate the data science pipeline. This course is focused on Azure and does not teach the student how to do data science. It is assumed students already know that.

AUDIENCE

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.

This course prepares the student for the Microsoft Certified Azure Data Scientist Associate certification. To achieve the certification, students are required to pass the DP-100 Designing and Implementing a Data Science Solution on Azure examination. Candidates for this exam are Azure Data Scientists that applies their knowledge of data science and machine learning to implement and run machine learning workloads on Azure; in particular, using Azure Machine Learning Service. This entails planning and creating a suitable working environment for data science workloads on Azure, running data experiments and training predictive models, managing and optimizing models, and deploying machine learning models into production.

PREREQUISITES

Before attending this course, students must have:

• Azure Fundamentals

• Understanding of data science including how to prepare data, train models, and evaluate competing models to select the best one.

• How to program in the Python programming language and use the Python libraries: pandas, scikit-learn, matplotlib, and seaborn.


METHODOLOGY

This program will be conducted with interactive lectures, PowerPoint presentation, discussions and practical exercise. This course can be conducted as instructor-led (ILT) or virtual instructor-led training (VILT).

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Modules

Module 1: Doing Data Science on Azure

The student will learn about the data science process and the role of the data scientist. This is then applied to understand how Azure services can support and augment the data science process.


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

Module 2: Doing Data Science with Azure Machine Learning service

The student will learn how to use Azure Machine Learning service to automate the data science process end to end.


Lessons

• Introduce Azure Machine Learning (AML) service

• Register and deploy ML models with AML service


Module 3: Automate Machine Learning with Azure Machine Learning service

In this module, the student will learn about the machine learning pipeline and how the Azure Machine Learning service's AutoML and HyperDrive can automate some of the laborious parts of it.


Lessons

• Automate Machine Learning Model Selection

• Automate Hyperparameter Tuning with HyperDrive


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

In this module, the student will learn how to automatically manage and monitor machine learning models in the Azure Machine Learning service.


Lessons

• Manage and Monitor Machine Learning Models


Gerald Hoong Seng Kah

Gerald Hoong Seng Kah

Gerald has 19 years of information technology experience and on community service and event experiences, he excels impressively. He was invited as a speaker for 3 break-out sessions for Microsoft TechED SEA 2008 on SQL Server 2008 at Kuala Lumpur Convention Center.

He even participated at the “Ask-The-Expert" booth for Microsoft Visual Studio 2008 and Microsoft SQL Server 2008 at the Heroes Launch 2008 and conducted a Microsoft Visual Studio Team System 2008, formerly code-named “Orcas" Metro workshop for Microsoft Certified Partners and independent software vendors (ISVs).

He was invited as a speaker on various occasions such as during the 2 break-out sessions and 3 instructor-led sessions at Microsoft TechED SEA 2007 on SQL Server 2008 and Office SharePoint Server 2007 respectively at Kuala Lumpur Convention Center. He was also a speaker for an instructor-led session at Microsoft TechEd SEA 2006 on development of web parts using Windows SharePoint Services Version 3.0 at Kuala Lumpur Convention Center.

He conducted a few Microsoft Office 2007 Touchdown workshops for Microsoft Certified Partners and independent software vendors and Microsoft Windows Vista Beta 1 Touchdown workshop and Microsoft Windows Vista Beta 1 Touchdown workshop for Microsoft Certified Partners and ISVs. He also conducted a Microsoft Windows Server code-named “Longhorn" Touchdown workshop and Microsoft Visual Studio Team System workshop for Microsoft Certfied Partners and ISVs.

He was invited as a guest speaker on Microsoft Office 2007 development for the MIND community, which is an active IT community under the helm of Microsoft. He is a committee member of SQL Practitioners Alliance Network (SPAN).

He was the co- speaker and tag team presenter at the recently concluded World SharePoint Conference 2014 at Las Vegas, USA. He was the only Malaysian presenter among the other presenters from Asia.

In March 2014, he participated as co-speaker and tag team presenter at the World SharePoint Conference 2014 at Venetian Hotel and Resorts, Las Vegas, USA.

Recently, he conducted a specialized Microsoft SharePoint training and consultancy for a team of 17 people from Carlsberg Group at Carlsberg & Jacobsen Brewhouse in Copenhagen, Denmark.

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James Hong Chii Guan

James Hong Chii Guan

James has trained more than thousands of people in conducting in-house / public training and private tutoring. With his previous vast experiences, he is allowed to provide training for Microsoft Office 2002, 2003, and Microsoft Office 2007, Programming with Microsoft Visual Basic.net, Querying Microsoft SQL Server 2000 with Transact-SQL, Developing Microsoft .Net Applications for Windows (VB.Net), Developing Microsoft ASP. Net Web Applications Using Visual Studio.Net.


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