Microsoft Certified: Azure Data Scientist Associate (DP100)
In the rapidly evolving realm of data science, professionals seek validated expertise to thrive in harnessing insights from vast data sets. One such accolade that holds a paramount position is the DP-100 certification on Microsoft Azure.
In this Microsoft certified course, students will learn how to operate machine learning solutions at cloud scale using Azure Machine Learning. This course teaches you to leverage your existing knowledge of Python and machine learning to manage data ingestion and preparation, model training and deployment, and machine learning solution monitoring in Microsoft Azure.
This training is a comprehensive preparation for the DP-100: Designing and Implementing a Data Science Solution on Azure exam to earn the Microsoft Certified: Azure Data Scientist Associate certification.
Public class
1895$
Duration:
4 days / 28 hours
Private class
Virtual classroom
Minimum no. of participants: 5
4 days / 28 hours
Price on request
English or French
Training plan:
Designing and Implementing a Data Science Solution on Azure (DP-100T01)
Module 1: Introduction to the Azure Machine Learning SDK
- Azure Machine Learning workspaces
- Azure Machine Learning tools and interfaces
- Azure Machine Learning experiments
Module 2: Use Automated Machine Learning in Azure Machine Learning
- What is machine learning?
- What is Azure Machine Learning studio?
- What is Azure Automated Machine Learning?
- Understand the AutoML process
Module 3: Create a classification model with Azure Machine Learning designer
- Identify classification machine learning scenarios
- What is Azure Machine Learning?
- What is Azure Machine Learning designer?
- Understand steps for classification
Module 4: Train a machine learning model with Azure Machine Learning
- Run a training script
- Using script parameters
- Registering models
Module 5: Work with Data in Azure Machine Learning
- Introduction to datastores
- Use datastores
- Introduction to datasets
- Use datasets
Module 6: Work with Compute in Azure Machine Learning
- Introduction to environments
- Introduction to compute targets
- Create compute targets
- Use compute targets
Module 7: Orchestrate machine learning with pipelines
- Introduction to pipelines
- Pass data between pipeline steps
- Reuse pipeline steps
- Publish pipelines
- Use pipeline parameters
- Schedule pipelines
Module 8: Deploy real-time machine learning services with Azure Machine Learning
- Deploy a model as a real-time service
- Consume a real-time inferencing service
- Troubleshoot service deployment
Module 9: Deploy batch inference pipelines with Azure Machine Learning
- Creating a batch inference pipeline
- Publishing a batch inference pipeline
Module 10: Tune hyperparameters with Azure Machine Learning
- Defining a search space
- Configuring sampling
- Configuring early termination
- Running a hyperparameter tuning experiment
Module 11: Automate machine learning model selection with Azure Machine Learning
- Automated machine learning tasks and algorithms
- Preprocessing and featurization
- Running automated machine learning experiments
Module 12: Explore differential privacy
- Understand differential privacy
- Configure data privacy parameters
Module 13: Explain machine learning models with Azure Machine Learning
- Feature importance
- Using explainers
- Creating explanations
- Visualizing explanations
Module 14: Detect and mitigate unfairness in models with Azure Machine Learning
- Consider model fairness
- Analyze model fairness with Fairlearn
- Mitigate unfairness with Fairlearn
Module 15: Monitor data drift with Azure Machine Learning
- Creating a data drift monitor
- Scheduling alerts
Module 16: Monitor models with Azure Machine Learning
- Enable Application Insights
- Capture and view telemetry
Exclusives:
- One FREE attendance to the Microsoft 365 Certified: Fundamentals (MS900) training - $695 value!
- One voucher to take the exam - $225 value!
- One year access to the class recording
- 180 days access to the lab environment after class
- Up to date courseware with Microsoft Learn
- Microsoft course achievement badge
Prerequisites:
Prior to attending this training, students should have:
- earned the Microsoft Certified: Azure Data Fundamentals (DP900) certification or equivalent knowledge.
- an understanding of data science, including data preparation, model training, and evaluating competing models to choose the best one.
- an understanding of data science with Python; including how to prepare data, and train machine learning models using common machine learning libraries such as Scikit-Learn, PyTorch, or Tensorflow.
Credentials information:
Exam Characteristics
- Exam code: DP-100
- Exam Title: Designing and Implementing a Data Science Solution on Azure
- Exam Duration: 120 minutes
- Number of Questions: 40 to 60
- Questions Format: Multiple-choice, multiple-answer, scenario-based
- Passing Score: 700 out of 1000
- Cost: $0 (included in your training)
Exam Topics
- Design and prepare a machine learning solution
- Explore data and train models
- Prepare a model for deployment
- Deploy and retrain a model
- All details...
Follow-on trainings:
Audiences:
Eccentrix Corner writing/whitepaper:
Understanding DP-100: What Sets It Apart?
DP-100, often referred to as the Azure Data Scientist Associate certification exam, serves as a benchmark for individuals aspiring to validate their proficiency in designing and implementing data science solutions on Azure. It's structured to evaluate a candidate's capability to leverage Azure tools and services to develop, train, and deploy machine learning models.
DP-100 Exam Details and Preparation
The DP-100 exam encompasses a range of topics, including the exploration of data science solutions, data ingestion, transformation, and preparation, as well as model deployment and monitoring. To prepare effectively, candidates can leverage various resources such as official Microsoft courses, study guides, practice tests, and hands-on experience with Azure's data science tools.
For those seeking free practice tests or exam questions, several online platforms offer resources to aid in exam preparation. However, it's essential to validate the credibility of these resources to ensure they align with the DP-100 curriculum.
DP-100: The Azure Advantage
The DP-100 course not only focuses on theoretical knowledge but also emphasizes practical application. Candidates delve into Azure's suite of tools for data science, learning to utilize Azure Machine Learning, Azure Databricks, and other services essential for developing robust data solutions on the cloud.
DP-100 vs. DP-203: Differentiating the Certifications
Aspirants often compare DP-100 with DP-203, the Azure Data Engineer Associate certification. While DP-100 focuses on designing and implementing data science solutions, DP-203 concentrates on designing and implementing data engineering solutions on Azure. Both certifications cater to distinct roles within the Azure ecosystem.
The Value of DP-100 Certification
Earning the DP-100 certification showcases a professional's proficiency in leveraging Azure services for data science solutions. This accreditation opens doors to diverse career opportunities in data science roles, affirming the ability to design, implement, and maintain data solutions effectively.
Renewal and Career Growth
Maintaining a DP-100 certification involves staying updated with advancements in Azure's data science tools. Microsoft periodically updates its certifications, and continuous learning through Microsoft Learn, or official trainings that are recommended for renewal.
Conclusion
The DP-100 Microsoft Azure Data Scientist certification is a testament to one's expertise in utilizing Azure tools for data science solutions. By attending official trainings such as the ones provided by Eccentrix and by leveraging free practice tests to comprehensive study guides, candidates can effectively prepare for the exam, positioning themselves as proficient Azure data scientists in the competitive landscape of data science careers.
Embark on your DP-100 journey today, embrace the challenges, and unlock a world of opportunities in the dynamic realm of Azure data science!
Common Questions about DP-100 Certification (FAQ)
What is DP 100 certification?
DP-100 certification, also known as the Microsoft Azure Data Scientist Associate certification, validates an individual's ability to design and implement data science solutions on the Azure platform. It assesses skills related to data exploration, data transformation, model deployment, and monitoring using Azure tools and services.
Is the DP 100 exam difficult?
The difficulty of the DP-100 exam varies depending on an individual's level of preparation and experience with Azure data science tools. Adequate preparation through studying the exam topics, hands-on practice with Azure services, and familiarity with data science concepts can significantly help in tackling the exam effectively.
Is Azure DP 100 worth it?
Earning the Azure DP-100 certification can be highly beneficial for individuals pursuing a career in data science, particularly within the Azure ecosystem. It showcases proficiency in utilizing Azure services for data science solutions, enhancing career prospects, and potentially leading to better job opportunities and career advancement in the field of data science.
What is the salary of DP 100 certified?
The salary of a DP-100 certified professional can vary based on factors such as location, years of experience, specific job role, and the organization. Generally, individuals with DP-100 certification can command competitive salaries due to their specialized skills in designing and implementing data science solutions on the Azure platform. Salaries for DP-100 certified professionals often align with or exceed industry standards for data science roles.
Contact us for more information on pricing::
Eccentrix
Office: 1-888-718-9732
E-mail: info@eccentrix.ca
130, King Street West, Suite 1800
Toronto, Ontario M5X 1E3
www.eccentrix.ca