Microsoft Azure Data Scientist Associate (DP-100) Professional Certificate

Master the Art of Data Science with DP-100! Dive into the world of Azure and equip yourself with the skills to design and implement data science solutions. Whether you’re a data enthusiast or a seasoned professional, this course is your gateway to harnessing the full potential of data on Azure. Get ready to embark on a journey of innovation and intelligence!

MICROSOFT AZURE DP-100 COURSE HIGHLIGHTS

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Course Description

Overview

Welcome to DP-100: Design & Implement Data Science Solution on Azure! This immersive course delves deep into the world of data science on Azure, equipping you with the skills and insights necessary to design, implement, and optimize data science solutions. Explore the extensive capabilities of Microsoft Azure’s data services, master the construction and deployment of machine learning models, and uncover the intricacies of data solution integration. Whether you’re a data science enthusiast eager to explore the cloud or an experienced professional looking to enhance your expertise, this program caters to your aspirations. Taught by industry experts, this course combines theoretical knowledge with practical experience through hands-on data projects, all designed to prepare you for success in the world of data science and Azure.

Why DP-100: Design & Implement Data Science Solution on Azure?

– Empowerment through Azure Data Services: Azure data services enable you to create intelligent data solutions at scale.
– Career Advancement with Data Science Certification: Microsoft Azure data science certification opens doors to career opportunities.
– Learning from Experts: Learn from industry experts and gain hands-on experience.
– Proficiency in Design and Implementation: Attain proficiency in designing and implementing data science solutions.
– Skill Enhancement in Data Science: Enhance your skills and expertise in data science on Azure.

Target Audience

Modified for clarity: Catering to data enthusiasts, data scientists, developers, and professionals eager to refine their skills in data science and Azure, this course is suitable for participants at all levels of expertise, whether they're beginners or seasoned individuals.

Pre-Requisites

A basic understanding of data science concepts is recommended but not mandatory.

Course Content

Module (1)- Module (3)

Module 1: Getting Started With Azure Machine Learning

  • Introduction to Azure Machine Learning
  • Working with Azure Machine Learning

Module 2: Visual Tools For Machine Learning

  • Automated Machine Learning
  • Azure Machine Learning Designer

Module 3: Running Experiments and Training Models

  • Introduction to Experiments
  • Training and Registering Models
Module (4)- Module (7)

Module 4: Working with Data

  • Working with Datastores
  • Working with Datasets

Module 5: Working with Compute 

  • Environments
  • Compute Targets

Module 6: Orchestrating Machine Learning Workflows

  • Introduction to Pipelines
  • Publishing and Running Pipelines

Module 7: Deploying and Consuming Models

  • Real-time Inferencing
  • Batch Inferencing
  • Continuous Integration and Delivery
Module (8)- Module (10)

Module 8: Training Optimal Models 

  • Hyperparameter Tuning
  • Automated Machine Learning

Module 9: Responsible Machine Learning

  • Differential Privacy 
  • Model Interpretability 
  • Fairness

Module 10: Monitoring Models

  • Monitoring Models with Application Insights
  • Monitoring Data Drift

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