DP-100 Designing and Implementing a Data Science Solution on Azure
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Course Code:
Open
Duration:
4 Days
Delivery Mode:
Classroom
Start Date:
07-10-24
End Date:
10-10-24
Fees:
$3052.00

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.

Course dates and course fee may be subjected to changes.

Course Outline

Lesson 1: Design a data ingestion strategy for machine learning projects

Lesson 2: Design a machine learning model training solution

 Lesson 3: Design a model deployment solution

Lesson 4: Explore Azure Machine Learning workspace resources and assets

Lesson 5: Explore developer tools for workspace interaction

 Lesson 6: Make data available in Azure Machine Learning

 Lesson 7: Work with compute targets in Azure Machine Learning

 Lesson 8: Work with environments in Azure Machine Learning

 Lesson 9: Find the best classification model with Automated Machine Learning

 Lesson 10: Track model training in Jupyter notebooks with MLflow

 Lesson 11: Run a training script as a command job in Azure Machine Learning

Lesson 12: Track model training with MLflow in jobs

Lesson 13: Run pipelines in Azure Machine Learning

 Lesson 14: Perform hyperparameter tuning with Azure Machine Learning

Lesson 15: Deploy a model to a managed online endpoint

 Lesson 16: Deploy a model to a batch endpoint

Course Fee (inclusive of 9% GST)

$3052.00 *Funding not available
Course Prerequisite
Successful Azure Data Scientists start this role with a fundamental knowledge of cloud computing concepts, and experience in general data science and machine learning tools and techniques. Specifically:
  • Creating cloud resources in Microsoft Azure.
  • Using Python to explore and visualize data.
  • Training and validating machine learning models using common frameworks like Scikit-Learn, PyTorch, and TensorFlow.
  • Working with containers.
  • Explore Microsoft cloud concepts
  • Create machine learning models
  • Administer containers in Azure. If you are completely new to data science and machine learning, please complete Microsoft Azure AI Fundamentals first
Important Notes
To be Updated
Who Should Attend?
To be updated

Why ITEL?

  • Diverse Range of IT Courses

    We offer a diverse range of IT courses tailored to student needs. Our curriculum covers foundational to advanced topics, ensuring comprehensive learning. We stay updated with industry trends to deliver relevant courses.

  • Skilled & Experienced Instructors

    We are proud to have a team of highly skilled and experienced instructors. Our instructors are industry professionals with in-depth knowledge and expertise across various IT domains.

  • Practical & Hands-on Exercises

    Our courses feature hands-on exercises, projects, and simulations to build practical skills. Students gain confidence by applying knowledge to real-world scenarios.

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Validity Period: 24 Apr 2024 to 23 Apr 2026

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