Wsq-Ms Designing and Implementing a Data Science Solution on Azure (dp-100)

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 in Microsoft Azure.

What You'll Learn

LO1: Interpret data patterns to extract business insights for organization benefits and growth.

LO2: Manage data science projects and customize data models.

LO3: Manage the capacity to run complex data mining models for exploring data sets.

LO4: Communicate data science results, making recommendations using data modelling methods.

Minimum Entry Requirement

Fundamental knowledge of cloud computing concepts, and experience in general data science and machine learning tools and techniques.

• 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.
• Minimum Diploma required.
• Trainocate will assess the learner's suitability if they are unable to meet the minimum entry requirements.