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Get to Know Your Mentors

Learn from highly skilled Trainers who have real-world, hands-on work experience

Curriculum

Ali Masri

Lead Data Engineer at Ford Motor Company

Overview

Start Your Learning Journey Today

Enrol Now

This program is for you, if?

  • you want to add a professional certification to your profile in the data domain to open up new career opportunities in the intersection of data science and cloud technologies

  • you are a data scientist and want to build a wide technical knowledge of how to use Micosoft Azure Cloud Services for building data science solutions

  • you are a business owner or a leader who works on azure and want to learn all the possibilities of using Micorsfot Azure Cloud Services for building a data-driven ecosystem for your organization







Program Fee: 

USD 1100

Data Scientist at Intact

Hassan Saidinejad

Sam Rahbar

Senior AI Scientist at Global Relay

Week-1: Explore the Machine Learning Workspace

The outcome of this week is to learn Microsoft Azure Machine Learning workspace resources, assets and developer tools for workspace interaction. Below are the topics covered in this week:

  • Azure Machine Learning workspace resources and assets
  • Developer tools for workspace interaction
  • Hands on quiz and case study

Week-2: Work with data in Microsoft Azure Machine Learning

The outcome of this week is to learn working with compute resources, and environments in Azure Machine Learning and train a model with the Azure Machine Learning Designer. Below are the topics covered in this week:

  • Explore data by using data assets and data stores.
  • Create models by using the Azure Machine Learning designer
  • Hands on quiz and case study 

Week-3: Automate machine learning model selection with Microsoft Azure Machine Learning

The outcome of this week is to learn how to figure out the best models with Automated Machine Learning. Below are the topics covered in this week:

  • Find the best models with Automated Machine Learning
  • Track model training in notebooks with MLflow
  • Hands on quiz and case study

Week-4: Train models with scripts in Microsoft Azure Machine Learning


The outcome of this week is to learn how to run a training script, track model training, and perform hyperparameter tuning with Azure Machine Learning. Below are the topics covered in this week:

  • Training jobs in Azure Machine Learning
  • Hyperparameter tuning with Azure Machine Learning
  • Hands on quiz and case study

Week-5: Optimize model training with pipelines in Microsoft Azure Machine Learning

The outcome of this week is to learn running pipelines in Azure Machine Learning along with Comparing and evaluating models. Below are the topics covered in this week:

  • Pipelines in Azure Machine Learning
  • Compare and evaluate models
  • Log and register models
  • Hands on quiz and case study

The outcome of this week is to learn deploying a model to a managed and batch endpoints. Below are the topics covered in this week::

  • Managed and batch deployment
  • Hands on quiz, exam preparation materials and case study 

Week-6: Deploy and consume models with Microsoft Azure Machine Learning

The outcome of this week is to review key concepts and skills, and prepare for the DP100 certification exam, through practice questions and Mock exams. Below are the topics covered in this week:

  • Review of key concepts and skills for the DP100 certification exam
  • Practice exam questions and discussion of strategies for success
  • Practice project to prepare for certification
  • Tips for preparing and taking the exam

Week-7&8: Project + Exam Preparation

DP-100 - Microsoft Azure Data Scientist Associate Certification Training Program

Reach us at: +1 814 980 5236/ learningforlife@mygreatlearning.com

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Mentored Learning with MCT (Microsoft Certified Trainer)

Microsoft Azure Data Scientist Associate: DP-100 Certification Voucher

Learning and Academic Support by dedicated pool of experts 

Hands-on Microsoft Azure Labs

Exam preparation guide + Mock Exams

Dedicated Program Manager for your learning journey

DP-100 - Microsoft Azure Data Scientist Associate Certification

Curriculum

This curriculum is optimally designed with the outcome to prepare you for the Designing and Implementing a Data Science Solution on Microsoft Azure DP100 certification exam

Week-1: Explore the Machine Learning Workspace

The outcome of this week is to learn Microsoft Azure Machine Learning workspace resources, assets and developer tools for workspace interaction. Below are the topics covered in this week:

  • Azure Machine Learning workspace resources and assets
  • Developer tools for workspace interaction
  • Hands on quiz and case study

Week-3: Automate machine learning model selection with Microsoft Azure Machine Learning

The outcome of this week is to learn how to figure out the best models with Automated Machine Learning. Below are the topics covered in this week:

  • Find the best models with Automated Machine Learning
  • Track model training in notebooks with MLflow
  • Hands on quiz and case study

Week-2: Work with data in Microsoft Azure Machine Learning

The outcome of this week is to learn working with compute resources, and environments in Azure Machine Learning and train a model with the Azure Machine Learning Designer. Below are the topics covered in this week:

  • Explore data by using data assets and data stores.
  • Create models by using the Azure Machine Learning designer
  • Hands on quiz and case study 

Week-4: Train models with scripts in Microsoft Azure Machine Learning


The outcome of this week is to learn how to run a training script, track model training, and perform hyperparameter tuning with Azure Machine Learning. Below are the topics covered in this week:

  • Training jobs in Azure Machine Learning
  • Hyperparameter tuning with Azure Machine Learning
  • Hands on quiz and case study

Week-5: Optimize model training with pipelines in Microsoft Azure Machine Learning

The outcome of this week is to learn running pipelines in Azure Machine Learning along with Comparing and evaluating models. Below are the topics covered in this week:

  • Pipelines in Azure Machine Learning
  • Compare and evaluate models
  • Log and register models
  • Hands on quiz and case study

The outcome of this week is to learn deploying a model to a managed and batch endpoints. Below are the topics covered in this week::

  • Managed and batch deployment
  • Hands on quiz, exam preparation materials and case study 

Week-6: Deploy and consume models with Microsoft Azure Machine Learning

The outcome of this week is to review key concepts and skills, and prepare for the DP100 certification exam, through practice questions and Mock exams. Below are the topics covered in this week:

  • Review of key concepts and skills for the DP100 certification exam
  • Practice exam questions and discussion of strategies for success
  • Practice project to prepare for certification
  • Tips for preparing and taking the exam

Week-7&8: Project + Exam Preparation

$1350

Why should you do the  DP-100 Microsoft Azure Data Scientist Associate certification?

  • The DP100 certification teaches advanced data science skills for creating solutions on Microsoft Azure. It covers data exploration, preparation, modeling, evaluation, and deployment using Azure Machine Learning tools.

  • The DP100 certification aligns you with Microsoft's cloud platform, Azure. By pursuing this certification, you showcase your proficiency in utilizing Azure for data science solutions. You gain access to a wealth of resources from Microsoft, including documentation, support, and community forums.

Great Learning’s Certificate Accelerator Program for DP100 is a specially designed course with the objective of helping you master Data Science and Machine Learning and get Microsoft Azure Certified. In this program, you will have the opportunity to get mentored by Microsoft Certified Trainers, through a structured curriculum that will provide you the necessary skills and techniques required to crack the certification. You will be provided with access to interactive learning material, practice labs, question papers from previous exams and learning support to prepare you for Azure DP-100 certification.

Finally, this program is built around the fundamental learning principle of ‘learning by doing’ and aims to build a meaningfully practical skill set with hands-on case studies, and prepare you for the Microsoft Azure DP-100 Certification.

  • Azure Machine Learning SDK

  • Azure Data Store, Azure Compute

  • Azure ML Designer

  • Automated ML

  • Azure ML Studio

  • Azure Functions

  • Azure Blob Storage

  • Azure Data Lake

  • Azure Kubernetes Service

  • Apache Spark

  • Azure DevOps

Key Microsoft Azure Services Taught

Meet Your Faculty

Dr. Abhinanda Sarkar

Faculty Director: Great Learning

Dr. Pavankumar Gurazada

Faculty: Great Learning

Connor Hagen

Azure OpenAI & AI Co-Innovation Labs, Lead Architect: Microsoft

By the end of this program you will be able to:

  • Understand the core concepts and functionalities of Machine Learning for model building
  • Acquire knowledge of data modeling, transformation, and data cleansing techniques
  • Develop skills in data analysis, model building, evaluate, interpret and maintain models 
  • Prepare effectively for the DP-100: Microsoft Azure Data Scientist Associate certification exam

Great Learning - Certificate Accelerator Program

Program Partner

Program Partner

Overview

Great Learning’s Certificate Accelerator Program for DP100 is a specially designed course with the objective of helping you master Data Science and Machine Learning and get Microsoft Azure Certified. In this program, you will have the opportunity to get mentored by Microsoft Certified Trainers, through a structured curriculum that will provide you the necessary skills and techniques required to crack the certification. You will be provided with access to interactive learning material, practice labs, question papers from previous exams and learning support to prepare you for Azure DP-100 certification.
Finally, this program is built around the fundamental learning principle of ‘learning by doing’ and aims to build a meaningfully practical skill set with hands-on case studies, and prepare you for the Microsoft Azure DP-100 Certification.

  • Azure Machine Learning SDK

  • Azure Data Store, Azure Compute

  • Azure ML Designer

  • Automated ML

  • Azure ML Studio

  • Azure Functions

  • Azure Blob Storage

  • Azure Data Lake

  • Azure Kubernetes Service

  • Apache Spark

  • Azure DevOps

Key Microsoft Azure Services Taught

This curriculum is optimally designed with the outcome to prepare you for the Designing and Implementing a Data Science Solution on Microsoft Azure DP100 certification exam

Meet Your Faculty

Dr. Abhinanda Sarkar

Faculty Director: Great Learning

Connor Hagen

Azure OpenAI & AI Co-Innovation Labs, Lead Architect: Microsoft

Dr. Pavankumar Gurazada

Faculty: Great Learning

Get to Know Your Mentors

Learn from highly skilled Trainers who have real-world, hands-on work experience

Ali Masri

Lead Data Engineer at Ford Motor Company

Senior AI Scientist at Global Relay

Sam Rahbar

Data Scientist at Intact

Hassan Saidinejad

By the end of this program you will be able to:

  • Understand the core concepts and functionalities of Machine Learning for model building
  • Acquire knowledge of data modeling, transformation, and data cleansing techniques
  • Develop skills in data analysis, model building, evaluate, interpret and maintain models 
  • Prepare effectively for the DP-100: Microsoft Azure Data Scientist Associate certification exam

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