Key Features of the course

What are the prerequisites of the DP-100 Exam?

You require a basic understanding of machine learning, artificial intelligence, and data science and existing knowledge of Python and machine learning, with at least 3-6 months of practical experience.
A Familiarity with Azure data fundamentals (DP-900 certification is recommended but not mandatory)

Proficiency in Python programming and familiarity with libraries such as Pandas and Scikit-Learn.
Understanding of data science concepts, including supervised and unsupervised learning techniques.
Experience with Azure Machine Learning, including model creation and deployment.
Knowledge of data wrangling, exploration, and visualization using tools like Azure Databricks.

The DP-100 certified professional takes over the roles and responsibilities of a Microsoft Certified Azure Data Scientist Associate. The Azure Data Scientist Associate has to utilize machine learning techniques for training, evaluation, and deployment of models for the development of AI solutions to address business objectives.
In addition, DP-100 certified professionals can utilize applications involving computer vision, natural language processing, predictive analytics, and speech capabilities.

Data Scientists
Data engineers
AI professionals: individuals aiming to build and optimize AI applications using Azure AI.