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 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.
Learning Options
Target audiences
- This course is designed for data scientists with existing knowledge of Python and machine learning frameworks like Scikit-Learn, PyTorch, and Tensorflow, who want to build and operate machine learning solutions in the cloud.
Schedule Dates
Cloud-computing, Microsoft
DP-100T01-A: Designing and Implementing a Data Science Solution on Azure
14/08/2023
Cloud-computing, Microsoft
DP-100T01-A: Designing and Implementing a Data Science Solution on Azure
13/11/2023
Cloud-computing, Microsoft
DP-100T01-A: Designing and Implementing a Data Science Solution on Azure
12/02/2024
Cloud-computing, Microsoft
DP-100T01-A: Designing and Implementing a Data Science Solution on Azure
13/05/2024
Curriculum
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Module 1: Getting started with Azure Machine Learning
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Module 2: Visual Tools for Machine Learning
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Module 3: Running Experiments and Training Models
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Module 4: Working with Data
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Module 5: Working with Compute
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Module 6: Orchestrating Machine Learning Workflows
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Module 7: Deploying and Consuming Models
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Module 8: Training Optimal Models
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Module 9: Responsible Machine Learning
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Module 10: Monitoring Models
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.
Definitely yes, the Designing and Implementing a Data Science Solution on Azure (DP-100T01-A) course is designed for individuals who want to learn how to design and implement data science solutions on Azure. The course is suitable for:
1. Data scientists who want to learn how to use Azure for building and deploying machine learning models.
2. Developers who want to learn how to build intelligent applications that can understand natural language, recognize images, and more using Azure Cognitive Services.
3. IT professionals who want to learn how to process real-time data from various sources using Azure Stream Analytics.
4. Anyone who is interested in learning about data science and machine learning on Azure.
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.
