Datapao’s two Azure courses give you hands-on introduction to the Azure Data Platform and to Machine Learning solutions on Azure.
The courses also serve as prep courses for the following exams:
Our instructors will make sure you understand how to Design and Implement Azure Data Platform and Data Science Solutions and prepare you to pass the Microsoft Certifications.
DP-100: Designing and Implementing a Data Science Solution on Azure
An Azure Data Scientist applies his/her knowledge of data science and machine learning to implement and run machine learning workloads on Azure; in particular, using Azure Machine Learning Service. This entails planning and creating a suitable working environment for data science workloads on Azure, running data experiments and training predictive models, managing and optimizing models, and deploying machine learning models into production.
WHAT YOU WILL LEARN
SET UP AN AZURE MACHINE LEARNING WORKSPACE
Create an Azure Machine Learning workspace
Manage data objects in an Azure Machine Learning workspace
Manage, experiment, compute contexts
RUN EXPERIMENTS AND TRAIN MODELS
Create models using Azure Machine Learning Designer
Run training scripts in an Azure Machine Learning workspace
Generate metrics from an experiment run
Automate the model training process
OPTIMIZE AND MANAGE MODELS
Use Automated ML to create optimal models
Use Hyperdrive to rune hyperparameters
Use model explainers to interpret models
DEPLOY AND CONSUME MODELS
Create production, compute targets
Deploy a model as a service
Create a pipeline for batch inferencing
Publish a Designer pipeline as a web service
For a detailed list of the exam requirements covered in this course consult the Skills Measured Section of the Microsoft DP-100 Exam Page.
DP-200: Implementing an Azure Data Solution
Candidates for this exam are Microsoft Azure data engineers who collaborate with business stakeholders to identify and meet data requirements to implement data solutions using Azure data services.
Azure data engineers are responsible for data-related implementation tasks, which include provisioning data storage services, ingesting streaming and batch data, transforming data, implementing security requirements, implementing data retention policies, identifying performance bottlenecks, and accessing external data sources.
WHAT YOU WILL LEARN
IMPLEMENT DATA STORAGE SOLUTIONS
Implement non-relational data stores
Implement relational data stores
Manage data security
MANAGE AND DEVELOP DATA PROCESSING
Develop batch processing solutions
Develop streaming solutions
MONITOR AND OPTIMIZE DATA SOLUTIONS
Monitor data storage
Monitor data processing
Optimize Azure data solutions
For a detailed list of the exam requirements covered in this course consult the Skills Measured Section of the Microsoft DP-200 Exam Page.