Microsoft Azure DP-100 Data Scientist Associate Professional
 
This Professional Certificate program is designed for data scientists with a background in Python and machine learning frameworks, such as Scikit-Learn, PyTorch, and TensorFlow, who want to enhance their skills in cloud-based machine learning solutions. The program focuses on creating end-to-end solutions in Microsoft Azure, managing Azure resources for machine learning, conducting experiments, training models, deploying and operationalizing machine learning solutions, and upholding principles of responsible machine learning. Additionally, participants will learn to utilize Azure Databricks for data exploration, preparation, and modeling and how to integrate these processes with Azure Machine Learning.
 
Consisting of five comprehensive courses, this program prepares you to ace the Exam DP-100: Designing and Implementing a Data Science Solution on Azure. This certification exam validates your ability to implement scalable machine learning solutions using Azure Machine Learning. The curriculum is strategically designed to leverage your existing Python and machine learning knowledge to master data ingestion and preparation, model training and deployment, and monitor machine learning solutions in Azure. Each course is aligned with the exam’s objectives, ensuring thorough preparation.
 
Applied Learning Project
Throughout the program, you will engage in interactive exercises that provide opportunities to apply your learning practically. These activities occur in the Azure Portal using the Microsoft Learn Sandbox. This controlled, free-to-use environment allows you to experiment with natural Azure resources without cost or risk. For instance, when learning about training deep neural networks, you will operate within this Sandbox, giving you the real-world experience to understand the technology in a practical, manageable setting.
 
You will need a Microsoft account to access the Sandbox. If you don't already have one, you can create one for free. The Learn Sandbox offers limited-time, risk-free access to a cloud subscription, ensuring that you can explore and manage Azure resources without financial commitment or the danger of disrupting production environments.
 
What You’ll Learn:
Manage Azure resources effectively for machine learning projects.
Conducted experiments and trained machine learning models in Azure.
Deploy and ensure the operational integrity of machine learning solutions.
Implement ethical and responsible machine learning practices.
 
Skills You’ll Gain:
Proficiency in managing Azure resources specific to machine learning.
Expertise in deploying and operationalizing machine learning solutions.
Capability to run rigorous experiments and train robust models.
Knowledge to uphold responsible machine learning practices.
 
By the end of this program, you will be well-equipped to take the DP-100 exam and ready to implement advanced data science solutions on Azure, positioning you at the forefront of your field.