DP-100T01 : Designing and Implementing a Data Science Solution on Azure

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.

• MODULE Design a data ingestion strategy for machine learning projects
• MODULE Design a machine learning model training solution
• MODULE Design a model deployment solution
• MODULE Explore Azure Machine Learning workspace resources and assets
• MODULE Explore developer tools for workspace interaction
• MODULE Make data available in Azure Machine Learning
• MODULE Work with compute targets in Azure Machine Learning
• MODULE Work with environments in Azure Machine Learning
• MODULE Find the best classification model with Automated Machine Learning
• MODULE Track model training in Jupyter notebooks with MLflow
• MODULE Run a training script as a command job in Azure Machine Learning
• MODULE Track model training with MLflow in jobs
• MODULE Run pipelines in Azure Machine Learning
• MODULE Perform hyperparameter tuning with Azure Machine Learning
• MODULE Deploy a model to a managed online endpoint
• MODULE Deploy a model to a batch endpoint

Microsoft Certified: Azure Data Scientist Associate

Azure Data Scientists apply Azure’s machine learning techniques to train, evaluate, and deploy models that solve business problems

Required Exam : DP-100

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. / Working with containers

·          Training and validating machine learning models using common frameworks like Scikit-Learn, PyTorch, and TensorFlow.

To gain these prerequisite skills, take the following free online training before attending the course:

·          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 first :

AI-900 Microsoft Azure AI Fundamentals