Brave New World of Artificial Intelligence

Overview

Explore the future of AI, from its foundations to modern applications. Learn about machine learning, knowledge engineering, and real-world AI scenarios across various industries.

Syllabus

• Introduction to Artificial Intelligence
Overview of AI and its history
Key milestones and breakthroughs
• Foundations of AI
Basic concepts and terminologies
Introduction to algorithms and data structures
• Machine Learning
Types of machine learning: supervised, unsupervised, and reinforcement learning
Key algorithms (e.g., decision trees, neural networks, SVMs)
Training and evaluation of models
• Knowledge Engineering
Knowledge representation and reasoning
Expert systems and rule-based systems
Ontologies and semantic web technologies
• Advanced AI Techniques
Deep learning: Convolutional and Recurrent Neural Networks
Natural Language Processing and Understanding
Computer Vision and Image Processing
• AI in Industry
AI applications in healthcare
AI in finance and banking
Autonomous systems and robotics
• Ethical and Societal Implications
Bias and fairness in AI
AI ethics and accountability
Impact of AI on jobs and the economy
• Future of AI
Emerging trends and technologies
AI governance and policy
AI for good: case studies and impacts
• Real-world AI Scenarios
Case studies from various industries
Hands-on project: Building and deploying an AI solution
• Conclusion and Next Steps
Recap of key learnings
Resources for further learning
Career pathways in AI

Subjects

Conference Talks