DP-100T01: Designing and implementing a data science solution on Azure

The DP-100T01: Designing and Implementing a Data Science Solution on Azure course equips learners with the skills to harness machine learning capabilities in Azure for data science projects. The course includes hands-on experience and reviews the data science lifecycle from data preparation through deployment and management of models. Learners will have practical experiences using the Azure Machine Learning Service and Studio.

While learning in the course, participants will have experience preparing datasets, managing models, and applying machine learning workflows using Azure tools so that the models can support real-time or batch inferencing. The course covers essential elements such as hyperparameter tuning, automated machine learning, and responsible AI practices so you will build ethical and high-performing AI models. You will learn best practices for managing and monitoring models over time using monitoring tools, Application Insights and data drift monitoring.

This course is best for individuals who want to become data scientists, or want to build on existing skills in machine learning on Azure. Successful completion of this course will provide you with the capabilities to design and implement data science solutions successfully. Join the best corporate training company to learn everything you need to prepare for your future. 


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Learning Options for You

  • Live Training (Duration : 32 Hours)
  • Per Participant

Fee: On Request

Course Prerequisites

  • Basic understanding of data science concepts and machine learning algorithms.
  • Familiarity with Python programming and data manipulation libraries (e.g., Pandas, NumPy).
  • Knowledge of Azure fundamentals (optional but recommended).
  • Experience with data storage and SQL queries.
  • Understanding of model evaluation and deployment concepts.

Learning Objectives

This course equips learners with the skills to design, build, and deploy data science solutions using Azure. Participants will learn to process and analyze data, build predictive models, and operationalize machine learning workflows using Azure Machine Learning and related services. Emphasis is placed on scalable, secure, and efficient solutions, empowering data professionals to turn insights into actionable business outcomes while leveraging the full capabilities of the Azure ecosystem.

Target Audience

  • Data professionals aiming to design and implement data science solutions on Azure.
  • Data Scientists who want to leverage Azure Machine Learning and other Azure services for predictive modeling.
  • AI/ML Engineers seeking to deploy scalable machine learning models in cloud environments.
  • Business Analysts and Developers involved in integrating machine learning solutions into applications.
  • IT professionals looking to enhance data science skills using Azure infrastructure.

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