Generative AI for Data Science with Copilot

This course is part of Generative AI for Data Scientists Specialization

Instructor: Microsoft

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

    • Skills you'll gain

  •   Artificial Intelligence and Machine Learning (AI/ML)
  •   OpenAI
  •   Large Language Modeling
  •   Data Security
  •   Prompt Engineering
  •   Data Analysis
  •   Generative AI
  •   Microsoft Copilot
  •   Data Ethics
  •   Information Privacy
  •   Anomaly Detection
  •   Data Synthesis

    • There are 3 modules in this course

    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 Materials: A Copilot license is required to complete this course. If you don’t have a Microsoft 365 Personal or Family license, you can start a free 30-day trial using the link provided in the course.

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