Generative AI for upskilling and learning initiatives

Overview

Generative AI is revolutionizing the way individuals and organizations approach upskilling and learning. By leveraging advanced machine learning models, AI can generate human-like text, code, images, and even personalized learning experiences, making education more accessible, engaging, and efficient.

Syllabus

• Introduction to Generative AI
Overview of generative AI technologies
History and evolution of generative models
Key applications in upskilling and learning
• Fundamentals of Machine Learning and AI
Introduction to machine learning concepts
Types of learning: supervised, unsupervised, and reinforcement
Neural networks and deep learning basics
• Popular Generative AI Models
Natural Language Processing (NLP) models
Computer Vision models
Code generation models
• Text Generation and Learning
Using AI for language generation
Implementing chatbots for personalized learning
Case studies: AI in language learning platforms
• AI-driven Visual Learning
Generative Adversarial Networks (GANs) for image creation
AI in educational video and interactive content
Virtual and augmented reality for immersive learning
• Code Generation and Technical Upskilling
AI-assisted coding tools and platforms
Automating routine programming tasks
Enhancing software development education with AI
• Personalized Learning Experiences
Adaptive learning systems and AI
Personalization algorithms and techniques
Measuring effectiveness of AI-powered learning tools
• Ethical and Practical Considerations
Privacy and data security in AI applications
Bias and fairness in generative AI
Responsible use of AI in education
• Future Trends in Generative AI for Learning
Emerging technologies and innovations
Collaborations between AI and human educators
Long-term impacts on education and workforce development
• Course Project
Designing a basic generative AI application for education
Evaluating the AI tool’s impact on learning outcomes
Presenting findings and future improvement plans
• Conclusion and Certification
Course recap and key takeaways
Certification and future learning pathways
Resources for continued study and advancement in generative AI.

Taught by

Gowtham Burle

Subjects

Computer Science