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Generative AI for Data Science with Copilot
Coursera
Course
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Generative AI for Data Science with Copilot

Microsoft

This course provides a comprehensive introduction to Generative AI in data science. You'll explore the foundational concepts of generative AI, including GANs, VAEs, and Transformers, and discover how Microsoft Copilot leverages these models to streamline data science workflows. You'll gain hands-on experience using Microsoft Copilot to implement generative AI solutions, ultimately enhancing your data science toolkit and preparing you for the future of AI-driven data analysis. Required Course M

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About this Course

This course provides a comprehensive introduction to Generative AI in data science. You'll explore the foundational concepts of generative AI, including GANs, VAEs, and Transformers, and discover how Microsoft Copilot leverages these models to streamline data science workflows. You'll gain hands-on experience using Microsoft Copilot to implement generative AI solutions, ultimately enhancing your data science toolkit and preparing you for the future of AI-driven data analysis. Required Course M

What You'll Learn

  • Define and differentiate types of generative AI models
  • Use Microsoft Copilot to generate code, analyze data, and build generative models
  • Identify practical use cases for generative AI in data science, such as data augmentation and anomaly detection
  • Assess the strengths and weaknesses of different generative models and understand their ethical implications

Instructors

Microsoft

Topics

الذكاء الاصطناعي التوليدي
أمن البيانات
المشفرات الذاتية
مايكروسوفت كوبيلوت
تحليل البيانات
الشبكات التنافسية التوليدية (GANs)
اكتشاف الشذوذ
أخلاقيات البيانات
الذكاء الاصطناعي المسؤول
خصوصية المعلومات

Course Info

PlatformCoursera
LevelUnknown
PacingUnknown
PriceFree

Skills

الذكاء الاصطناعي التوليدي
أمن البيانات
المشفرات الذاتية
مايكروسوفت كوبيلوت
تحليل البيانات
الشبكات التنافسية التوليدية (GANs)
اكتشاف الشذوذ
أخلاقيات البيانات
الذكاء الاصطناعي المسؤول
خصوصية المعلومات

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