Course Information

  • Sessions 2 days
  • Duration 15 hrs
  • Level Intermediate
  • Assessment NA

Venue

12 Woodlands Square #07-85/86/87 Woods Square Tower 1, Singapore 737715. 5 mins walk from Woodlands (NS9) MRT station.

The venue is disabled-friendly.

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Certification

  • Certificate of Completion from Tertiary Courses - Upon meeting at least 75% attendance and passing the assessment(s), participants will receive a Certificate of Completion from Tertiary Courses.

Free Certificate Practice Exams

Take Free Certificate Practice Exams at exams.tertiaryinfotech.com.

You can also purchase Certificate exam vouchers at exams.tertiaryinfotech.com.

DP-100 Azure Data Scientist Associate Training

Course Code: C840

What's This Course About

Our DP-100 Azure Data Scientist Associate Exam Prep course is meticulously crafted to provide you with a comprehensive understanding of the key concepts and skills necessary to succeed as a data scientist in the Azure ecosystem. By enrolling in this course, you will delve deep into the world of data science, learning how to process, analyze, and interpret complex data sets using Azure's powerful tools and services.

Throughout the course, you will engage with real-world scenarios and case studies that will challenge you to apply your knowledge in practical settings. You will master the art of utilizing Azure Machine Learning, Azure Databricks, and other Azure services to build, train, and deploy machine learning models that deliver actionable insights. By the end of this course, you will be well-equipped to confidently take the DP-100 exam and step into the role of a Microsoft Certified Azure Data Scientist Associate, ready to make a significant impact in the field of data science.

Microsoft Learning Partner

We are Authorised Microsoft Learning Partner (Org ID:  5238476). To get the official Microsoft certification, please register your certification exam at Pearson Vue Test Center.

Certification Exam at Pearson Vue

We are Authorised Pearson Vue Testing Center. Once you have prepared for the exam, you can register for the certification here. The course fee does not include the certification exam fee.

You can purchase the exam voucher (one of the lowest prices in Singapore) at Microsoft Role-Based Certification Exam Voucher.

Funding Options

No funding is available for this course

For WSQ funding, please checkout the details at WSQ - Microsoft Azure Data Scientist Associate (DP-100)

Course Fee

$1,200.00 (GST-exclusive)
$1,308.00 (GST-inclusive)

Course Date

Course Time

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Additional Note

Please bring your own laptop for hands-on training. If you don't have laptop, we can provide spare laptop for training use.

Post-Course Support

  • We provide free consultation related to the subject matter after the course.
  • Please email your queries to enquiry@tertiaryinfotech.com and we will forward your queries to the subject matter experts.

Cancellation & Reschedule Policy

  • You can register your interest without upfront payment. There is no penalty for withdrawal of the course before the class commences.
  • We reserve the right to cancel or re-schedule the course due to unforeseen circumstances. If the course is cancelled, we will refund 100% for any paid amount.
  • Note the venue of the training is subject to changes due to availability of the classroom.

Course Details

Course Details

What You'll Learn

Topic 1 Explore the Azure Machine Learning workspace

Explore Azure Machine Learning workspace resources and assets

Explore developer tools for workspace interaction

Topic 2 Work with data in Azure Machine Learning

Make data available in Azure Machine Learning

Topic 3 Automate machine learning model selection with Azure Machine Learning

Find the best classification model with Automated Machine Learning

Topic 4 Train models with scripts in Azure Machine Learning

Run a training script as a command job in Azure Machine Learning

Track model training with MLflow in jobs

Topic 5 Optimize model training in Azure Machine Learning

Run pipelines in Azure Machine Learning

Perform hyperparameter tuning with Azure Machine Learning

Topic 6 Deploy and consume models with Azure Machine Learning

Deploy a model to a managed online endpoint

Deploy a model to a batch endpoint

Course Info

Prerequisite

This is a intermediate course. The following knowledge is asumed:

Software Requirement

Please install the following software prior to the class

1. Pycharm : - Install Pycharm (https://www.jetbrains.com/pycharm/download/)

2 . Install Pytorch 

Please follow this guide to install Pytorch https://pytorch.org/get-started/locally/

Job Roles

Job Roles

  • Data Scientist
  • Azure Data Engineer
  • Azure Solution Architect
  • Machine Learning Engineer
  • Cloud Data Scientist
  • Data Analytics Manager
  • Cloud Solution Consultant
  • Azure DevOps Engineer
  • AI Developer on Azure
  • Data Science Consultant
  • Cloud Infrastructure Specialist
  • Big Data Engineer on Azure
  • Data Platform Specialist
  • Machine Learning Operations (MLOps) Engineer
  • Cloud Application Developer

Trainers

Trainers

Sanjiv Venkatram

Sanjiv i is an ACTA certified experienced leader with a proven track record in business / finance consulting and in developing i) business intelligence (BI) solutions ii) data analytics/analysis solutions and iii) IOT lead BI solutions. Sanjiv's goal through Prudentia Consulting, is to promote the simple joy and excitement of actively using the Microsoft Platform. He believes that the agility afforded by the Microsoft platform helps businesses get time back for deeper business thinking and to spend more time with their end customers

Sanjiv has rich experiences in diverse/complex high-tech businesses, turn around environments and strategic transformations. His functional expertise is in sales analytics, financial planning and analysis, engineering and program management. He has worked across discrete manufacturing, professional services and higher education verticals. He also has a working knowledge of equities portfolio management within the financial services domain.Sanjiv is the CEO of Prudentia Consulting, an organization committed to promoting the active usage of the Microsoft Platform. Prior to this, he has worked at Microsoft (US & APAC: 9.2 years), Cognizant Tech Solutions (3.3 years), Yazaki North America (8 years) and until recently at Oracle. Here are a few of his BI/analytics projects driven at scale: Built APAC wide BI dashboard using the Power BI umbrella tool set (Power BI online, Power BI desktop and Power Pivot) and a KPI lake (SQL DB), Helped develop key KPIs – identified key KPIs and helped land this in the DB, Developed a budget audit tool that captured budget inputs from a host of countries across the globe, Developed a business unit P&L reporting tool (functional architecture) in Business Objects for the world-wide financial planning and analysis team.

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