Course Overview
The Designing and Implementing a Data Science Solution on Azure (DP-100T01-A) course at Counseltrain Technologies is a 4-days course. Learn how to operate machine learning solutions at a 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 with Azure Machine Learning and MLflow.
Schedule Dates
DP-100T01-A: Designing And Implementing A Data Science Solution On Azure
DP-100T01-A: Designing And Implementing A Data Science Solution On Azure
DP-100T01-A: Designing And Implementing A Data Science Solution On Azure
DP-100T01-A: Designing And Implementing A Data Science Solution On Azure
Course Content
- Introduction to Azure Machine Learning
- Working with Azure Machine Learning
- Automated Machine Learning
- Azure Machine Learning Designer
- Introduction to Experiments
- Training and Registering Models
- Working with Datastores
- Working with Datasets
- Environments
- Compute Targets
- Introduction to Pipelines
- Publishing and Running Pipelines
- Real-time Inferencing
- Batch Inferencing
- Continuous Integration and Delivery
- Hyperparameter Tuning
- Automated Machine Learning
- Automated Machine Learning
- Differential Privacy
- Model Interpretability
- Fairness
- Module 10: Monitoring Models
- Monitoring Data Drift
FAQs
There are no specific conditions for attending the Designing and Implementing a Data Science Solution on Azure (DP-100T01-A) course. However, Microsoft recommends that you have the following knowledge and experience before attending the course: – Basic understanding of data science and machine learning concepts – Familiarity with Python programming language – Familiarity with SQL language for querying and manipulating data – Basic understanding of Azure services such as Azure Storage, Azure Functions, and Azure App Service. Further, having experience with programming in any language, statistical analysis, and familiarity with basic concepts of Azure Cloud Computing can be helpful.
Participants are recommended to have a fundamental understanding of Azure services, data science concepts, and machine learning fundamentals. Practical experience with data analysis or related roles is beneficial.
Yes, the Designing and Implementing a Data Science Solution on Azure (DP-100T01-A) course are in high demand as more and more organizations are adopting cloud computing and data science to drive business value. As the amount of data generated by organizations continues to grow, the need for data scientists who can extract insights from this data has also increased. The course offers a comprehensive understanding of Azure data science services and tools, which can help individuals develop the skills needed to design and implement data science solutions that can drive business value.
Yes, after completing the Designing and Implementing a Data Science Solution on Azure (DP-100T01-A) course, you will receive a certificate of completion. This certificate verifies that you have successfully completed the course and is a valuable asset to add to your resume or professional portfolio.
Yes, DP-100T01-A is aligned with the Microsoft Certified: Azure Data Scientist Associate certification. Successfully completing the course and passing the related exams contribute to earning this valuable certification.