Data Processing and Optimization with Generative AI
This course is part of Microsoft Generative AI for Data Analysis Certificate.
Course Cost
Free course
Intermediate
Skill Level
14 Hours
Self-paced lessons
This course cannot be purchased separately - to access the complete learning experience, graded assignments, and earn certificates, you'll need to enroll in the full Microsoft Generative AI for Data Analysis Professional Certificate program. You can audit this specific course for free to explore the content, which includes access to course materials and lectures. This allows you to learn at your own pace without any financial commitment.
What you'll learn
Generate synthetic data using generative AI models to overcome data limitations
Implement advanced data cleaning techniques with AI assistance to resolve complex data quality issues
Optimize datasets for improved analysis efficiency and performance
Apply ethical considerations in data processing and synthetic data generation
Identify and mitigate biases in data and AI algorithms
Evaluate synthetic data quality using appropriate metrics and benchmarks
Automate preprocessing steps using generative AI tools
Develop strategies for responsible and transparent data practices
Skills you'll gain
This course includes:
16 Hours PreRecorded video
28 assignments
Access on Mobile, Tablet, Desktop
FullTime access
Shareable certificate

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There are 5 modules in this course
This comprehensive course explores advanced methods for data cleaning, preparation, and optimization using AI-assisted tools. Students learn to generate synthetic data to address privacy concerns and data limitations in their projects. The curriculum covers leveraging AI to identify and resolve complex data quality issues, ensuring datasets are primed for analysis. Key topics include synthetic data generation using generative AI models, advanced data cleaning techniques with AI assistance, dataset optimization for improved analysis efficiency, and ethical considerations in data processing and synthetic data generation. Through hands-on assignments and practical examples, learners develop skills to transform their data workflows and enhance analytical capabilities using the latest AI technologies.
Synthetic data generation
Module 1 · 3 Hours to complete
Advanced data cleaning techniques
Module 2 · 3 Hours to complete
Dataset preparation
Module 3 · 3 Hours to complete
Datasets optimization
Module 4 · 3 Hours to complete
Ethical considerations in data processing
Module 5 · 2 Hours to complete
Fee Structure
Individual course purchase is not available - to enroll in this course with a certificate, you need to purchase the complete Professional Certificate Course. For enrollment and detailed fee structure, visit the following: Microsoft Generative AI for Data Analysis Certificate
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Faculties
These are the expert instructors who will be teaching you throughout the course. With a wealth of knowledge and real-world experience, they're here to guide, inspire, and support you every step of the way. Get to know the people who will help you reach your learning goals and make the most of your journey.
Frequently asked Questions
Below are some of the most commonly asked questions about this course. We aim to provide clear and concise answers to help you better understand the course content, structure, and any other relevant information. If you have any additional questions or if your question is not listed here, please don't hesitate to reach out to our support team for further assistance.




