Certified Microsoft Azure Data Scientist Analyst badge achieved after attending the DP-100 Course and Exam
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Microsoft Azure Data Scientist (DP-100) Course

Unlock data-driven insights as a Microsoft Azure Data Scientist and learn how to build and deploy machine learning models for impactful business solutions.

course: Microsoft Certified Azure Data Scientist (DP-100)

Duration: 4 days

Format: Virtual or Classroom

prepare-exam Prepares for Exam: Designing and Implementing a Data Science Solution on Azure DP-100

certification-icon Prepares for Certification: Microsoft Certified: Azure Data Scientist Associate

ktk-icon Attend this and 60+ other Microsoft courses for FREE with Unlimited Microsoft Training

Overview

The Microsoft Certified Azure Data Scientist (DP-100) course teaches you to build, train, and deploy machine learning models on Azure. You will learn to use Azure Machine Learning for data preparation, experimentation, and model management. This instructor-led training prepares you for the DP-100 exam and the Microsoft Certified: Azure Data Scientist Associate certification.

This course includes
  • intructor-icon Instructor-led training
  • intructor-icon Practice test
  • intructor-icon Pre-reading
  • intructor-icon Personal Learning Path
  • intructor-icon Certification Guarantee
  • intructor-icon Email, chat and phone support

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Who is this course for?

Who is the Microsoft Certified Azure Data Scientist (DP-100) training course for?

The Microsoft Certified Azure Data Scientist (DP-100) certification is intended for those who wish to demonstrate their proficiency in creating and deploying machine learning models on Azure. This certification is ideal for data scientists, data engineers, and other technical professionals interested in using Azure services to develop, train, and deploy machine learning models. The DP-100 certification exam covers topics such as the machine learning process and data science, data preparation for machine learning, machine learning model development, training, and optimization, as well as machine learning model deployment on Azure.

Curriculum

What you will learn during our Azure Data Scientist course.

  • Getting Started with Azure Machine Learning
  • Azure Machine Learning Tools
  • Lab : Creating an Azure Machine Learning Workspace
  • Working with Azure Machine Learning Tools
  • Training Models with Designer
  • Publishing Models with Designer
  • Lab : Creating a Training Pipeline with the Azure ML Designer
  • Lab : Deploying a Service with the Azure ML Designer
  • Introduction to Experiments
  • Training and Registering Models
  • Lab : Running Experiments
  • Lab : Training and Registering Models
  • Working with Datastores
  • Working with Datasets
  • Lab : Working with Datastores
  • Lab : Working with Datasets
  • Working with Environments
  • Working with Compute Targets
  • Lab : Working with Environments
  • Lab : Working with Compute Targets
  • Introduction to Pipelines
  • Publishing and Running Pipelines
  • Lab : Creating a Pipeline
  • Lab : Publishing a Pipeline
  • Realtime Inferencing
  • Batch Inferencing
  • Lab : Creating a Realtime Inferencing Service
  • Lab : Creating a Batch Inferencing Service
  • Hyperparameter Tuning
  • Automated Machine Learning
  • Lab : Tuning Hyperparameters
  • Lab : Using Automated Machine Learning
  • Introduction to Model Interpretation
  • using Model Explainers
  • Lab : Reviewing Automated Machine Learning Explanations
  • Lab : Interpreting Models
  • Monitoring Models with Application Insights
  • Monitoring Data Drift
  • Lab : Monitoring a Model with Application Insights
  • Lab : Monitoring Data Drift

Preparation

How to best be prepared for our Azure Data Scientist course.

  • Orange-check A fundamental knowledge of Microsoft Azure
  • Orange-check Experience of writing Python code to work with data, using libraries such as Numpy, Pandas, and Matplotlib.
  • Orange-check Understanding of data science; including how to prepare data, and train machine learning models using common machine learning libraries such as Scikit-Learn, PyTorch, or Tensorflow.

Meet our instructors

Meet some of the Readynez Instructors you can meet on your course. They are experts, passionate about what they do, and dedicated to give back to their industry, their field, and those who want to learn, explore, and advance in their careers.

Tiago Costa

With a long-standing reputation as a Microsoft MVP and MCT, Tiago Costa delivers LIVE training that blends expert knowledge with real-world application. His courses help professionals build hands-on cloud skills and prepare effectively for Microsoft certifications.

Meet the Instructor: Tiago Costa

At Readynez, we believe world-class training starts with world-class instructors - and Tiago Costa is a prime example.

With over 20 years of experience delivering Microsoft Cloud & AI solutions (including to Fortune 500 companies), Tiago brings a rare combination of deep technical expertise and real-world perspective to every course.

  • 50+ Microsoft certifications.
  • Microsoft MVP since 2016 & Microsoft Certified Trainer since 2006.

  • Speaker, architect, and trusted advisor to global enterprises.

As a dedicated community leader, an independent contractor and founder of the Azure & AI Portugal User Group, Tiago is passionate about helping others grow their careers through knowledge sharing and practical skills.

When you train with Tiago, you’re not just learning from certified professionals...
You’re learning from a global leader.

Find your next Microsoft course with Tiago Costa here: https://www.readynez.com/en/training/courses/all/ 

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Michel Aguilera

Michel excels with a vast expertise in the fields of consulting, training and project management.

Michel excels with a vast expertise in the fields of consulting, training and project management. During his 20 year IT career he has acquired a wide range of skills, both technical and management wise.  He is a keen lover of challenges and keeps up to date with market expectations. Having a multi-cultural approach, he can even train in 5 different languages ​​with ease.

In addition to this, he is very experienced as a hands-on consultant and has worked with various integrations and migrations including Windows migrations, Datacenter consolidations, multiple solution integrations, ITSM implementations. He is also an expert on Cloud environments and in virtualization techniques as well (Operating systems and applications).

 

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Expert

Marc Michault

Marc is a dedicated trainer at heart and has been training clients in Microsoft enterprise technologies for about twenty years.

Marc has been training clients in Microsoft enterprise technologies for about twenty years, and has vast experience with demonstrating and implementing Microsoft's latest enterprise technologies for both small and large enterprises.

Marc is a dedicated trainer at heart and thrives with ensuring the technical readiness of Microsoft Partners on upcoming solutions, in collaboration with different Microsoft subsidiaries.

He refers to himself as a perfect example of the “Alpine Geek” (Nerdus Alpinus), having delivered courses in two languages and multiple countries for over twenty years, but living in a three-hundred year old chalet in the Swiss Alps that only got broadband Internet in 2009.

He often works with Microsoft subsidiaries, particularly around Partner Readiness, and has presented at various Microsoft events (TechED, TechDays, MCT Summits). He currently serves the Microsoft Certified Trainer community as the MCT Regional Lead for Switzerland.

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FAQ

FAQs for the Azure Data Scientist (DP-100) course.

DP-100 Azure Data Scientist certification validates expertise in designing and implementing machine learning models and solutions using Azure Machine Learning. It covers various aspects of data science, including data preparation, feature engineering, model training and evaluation, and deployment, preparing professionals for roles in data science and machine learning engineering.

Our DP-100 Azure Data Scientist course prepares you to excel in data science roles on Azure. Prepare for the exam and gain certification as an Azure Data Scientist with our expert-led training program. Learn to build and deploy machine learning models, and extract valuable insights from data. Join us and become a skilled data scientist in the cloud.

While there are no strict prerequisites for DP-100 Azure Data Scientist certification, candidates should have a strong understanding of data science concepts, experience working with machine learning algorithms and frameworks, and proficiency in programming languages such as Python. Familiarity with Azure services and cloud computing is beneficial for exam preparation.

The cost of the DP-100 exam is around €142.

The DP-100 exam covers topics such as data preparation, feature engineering, model training and evaluation, and model deployment using Azure Machine Learning. It assesses candidates' abilities to design and implement machine learning solutions effectively using Azure services.

Yes, DP-100 Azure Data Scientist certification is highly valuable for professionals pursuing careers in data science, machine learning, and artificial intelligence using Azure technologies. It demonstrates expertise in designing and implementing machine learning models and solutions, enhancing career opportunities and earning potential in the field.

The time it takes to become DP-100 Azure Data Scientist certified varies depending on individual experience, study habits, and preparation methods. Candidates typically spend several weeks to a few months preparing for the exam through self-study, training courses, and hands-on practice to build the necessary knowledge and skills.

Yes, Microsoft offers online proctored options for the DP-100 exam, allowing candidates to take the exam remotely from their home or office. Ensure your computer meets the technical requirements for online proctoring and follow the exam registration process outlined by Microsoft for online exam delivery.

The difficulty of passing the DP-100 exam depends on individual knowledge, experience, and preparation. Candidates with a solid understanding of data science principles, hands-on experience with Azure Machine Learning, and thorough exam preparation are more likely to succeed in passing the exam.

The passing score for the DP-100 exam is typically around 700 out of 1000.

To maintain DP-100 Azure Data Scientist certification, certified professionals must renew their certification periodically by passing a renewal exam or completing relevant continuing education activities. Stay updated with the latest developments in data science and machine learning, participate in advanced training courses, and engage in ongoing learning to maintain your certification status.

Salary potential for DP-100 Azure Data Scientist certified professionals varies based on factors such as location, experience, industry, and job role. Data scientists and machine learning engineers with expertise in Azure Machine Learning and data science techniques typically command competitive salaries, with earning potential increasing with additional experience and specialization in the field.

Reviews

Feedback from our Azure Data Scientist delegates.

Stephen Ridgway

Readynez is the best training provider I've used for many years. Their customer service is first class, prices are very competitive and instruction excellent.

Johan Andersson

Johan Andersson

Easy to attend over Teams and an excellent instructor gave me great value for the time I invested.

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