Technology Consultant | AI | Data Science | Machine Learning


on Generative AI for College Faculty

21st January 2024, 10AM - 12PM, IST

  • 00Days
  • 00Hours
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About Webinar

In this webinar, we will provide an in-depth understanding of GenAI, specifically tailored for college faculty members. We believe that this webinar will not only empower faculty members with cutting-edge knowledge but also foster a collaborative environment for innovative educational practices.​

Webinar Objectives:

  1. Introduce faculty members to the concept of Generative AI (GenAI) and its applications in education.
  2. Explore how GenAI can enhance teaching methodologies, student engagement, and overall learning experiences.
  3. Provide hands-on experience with practical examples and case studies showcasing successful GenAI implementations in educational settings.
  4. Discuss the ethical considerations and best practices when integrating GenAI into the curriculum.
  5. Encourage collaborative discussions among faculty members to brainstorm potential GenAI applications for their respective disciplines.


Introduction to GenAI (20 minutes)

  • Definition and Overview
  • Significance in the educational landscape

Applications of GenAI in Education (40 minutes)

  • Personalized learning experiences
  • Intelligent tutoring systems
  • Automated grading and assessment
  • Virtual teaching assistants

Hands-On Session (30 minutes)

  • Live demonstration of GenAI tools
  • Q&A session

Ethical Considerations (10 minutes)

  • Privacy concerns
  • Bias and fairness in AI
  • Responsible AI usage in education

Collaborative Discussion (20 minutes)

  • Breakout sessions for faculty members to share ideas
  • Brainstorming potential GenAI applications in their disciplines

Schedule of event

  • Date:

    21st January 2024 (10AM to 12PM, IST)

  • Venue:

    Online Live Instructor Led

  • Contact:

  • Fee:

    This webinar is free of cost.

CEO and Managing Director at Blue Data Consulting

Mr. Anshu Pandey

Area of Expertise

  • Generative AI and Prompt Engineering
  • Artificial Intelligence & Machine Learning
  • Data Science
  • Deep Learning
  • Image processing,
  • Computer Vision
  • Natural Language
  • Processing
  • Internet of Things
  • Robotics Process Automation

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