Complete Generative AI for upskilling & learning initiatives

Overview

Generative AI has emerged as a transformative force in the fields of upskilling and learning, enabling personalized, interactive, and efficient education experiences. By leveraging advanced machine learning models, particularly those based on deep learning and natural language processing (NLP), Generative AI can create, adapt, and deliver content tailored to individual learning needs.

This has revolutionized how students, professionals, and organizations approach skill development in an increasingly digital world.

Syllabus

• Introduction to Generative AI in Education
Overview of Generative AI
Impact on upskilling and learning
• Fundamentals of Machine Learning and Deep Learning
Basics of machine learning models
Introduction to deep learning architectures
• Natural Language Processing (NLP) for Generative AI
Overview of NLP
Key NLP models and techniques used in education
Text generation and summarization
• Personalized Learning Experiences
Adaptive learning systems
AI-driven content customization
• Developing Generative AI Applications for Education
Tools and platforms for building AI models
Using pre-trained models for educational purposes
• Case Studies of Generative AI in Upskilling
Successful implementations in various industries
Analyzing outcomes and effectiveness
• Ethical Considerations and Challenges
Data privacy concerns in AI-based learning
Bias and fairness in AI systems
• Future Trends in Generative AI for Education
Emerging technologies and methodologies
Potential barriers and opportunities
• Practical Workshop
Hands-on project: Building a simple generative AI application for personalized learning
Group activities and collaboration
• Conclusion and Future Learning Resources
Recap of key concepts
Additional resources for continued learning

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Taught by

Gowtham Burle

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Subjects

Computer Science