What You Need to Know Before
You Start
Starts 3 June 2025 14:42
Ends 3 June 2025
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1 hour 4 minutes
Optional upgrade avallable
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Conference Talk
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Overview
Explore personal data insights using Azure Machine Learning, Cosmos DB, and Power BI to create a digital assistant for health monitoring and habit formation.
Syllabus
- Introduction to the Course
- Module 1: Understanding Personal Data
- Module 2: Azure Machine Learning
- Module 3: Storing and Managing Data with Cosmos DB
- Module 4: Data Visualization with Power BI
- Module 5: Building a Digital Assistant
- Module 6: Advanced Insights and Personalization
- Module 7: Project Implementation
- Conclusion and Future Directions
- Course Wrap-up
Overview of Personal Data and its Importance
Course Objectives and Expected Outcomes
Overview of Tools: Azure Machine Learning, Cosmos DB, Power BI
Defining Personal Data in the Context of Digital Assistants
Types of Health Data and Habit Tracking Metrics
Introduction to Azure Machine Learning
Setting Up an Azure Account and Environment
Basics of Machine Learning Models for Health Data
Training, Deploying, and Evaluating Models in Azure
Introduction to Cosmos DB and Its Role in Data Management
Setting Up a Cosmos DB Instance
Ingesting and Organizing Health and Habit Data
Querying and Retrieving Data Efficiently
Introduction to Data Visualization
Creating Dashboards in Power BI
Connecting Power BI to Cosmos DB
Visualizing Health Patterns and Habit Formation
Designing the Digital Assistant Architecture
Integrating Azure Machine Learning, Cosmos DB, and Power BI
Implementing Health Monitoring Features
Developing Habit Formation and Tracking Functionalities
Using Machine Learning for Personalized Recommendations
Data Privacy and Ethical Considerations
Exploring Advanced Machine Learning Models for Refinement
Project Setup and Requirements
Step-by-Step Guide to Implementing the Digital Assistant
Testing and Iterating Based on User Feedback
Summary of Key Learnings
Future Trends in Health Monitoring and Digital Assistants
Continuous Learning and Resources for Further Exploration
Final Q&A Session
Feedback and Course Reviews
Certification and Next Steps
Subjects
Conference Talks