Course Brief
This introductory course on Artificial Intelligence (AI) offers a comprehensive overview of fundamental concepts, techniques, and applications. Students will explore AI's history, core techniques like machine learning and natural language processing, and the ethical implications, fostering a critical understanding of AI's impact on society and the future.
- What is Artificial Intelligence?
- History of Artificial Intelligence
- Philosophical Foundations of Artificial Intelligence
- Intelligent Agents
- Applications of Artificial Intelligence
- 2.1 Problem Solving and Search Algorithms
- 2.2 Logic and Knowledge Representation
- 2.3 Uncertainty and Reasoning under Uncertainty
- 2.4 Learning and Adaptation
- Uninformed Search Algorithms
- Informed Search Algorithms
- Heuristic Search Algorithms
- Game Playing and Search Strategies
- Logical Representation of Knowledge
- Propositional Logic and First-Order Logic
- Semantic Networks and Frames
- Ontologies and Knowledge Representation in AI
- Supervised Learning
- Unsupervised Learning
- Reinforcement Learning
- Model Evaluation and Selection
- Machine Learning Applications
- Natural Language Understanding
- Natural Language Generation
- Sentiment Analysis
- Machine Translation
- Applications of Natural Language Processing
- Introduction to Deep Learning
- Convolutional Neural Networks
- Recurrent Neural Networks
- Generative Adversarial Networks
- Applications of Deep Learning
- Bias and Fairness in AI
- Privacy and Security Concerns in AI
- The Impact of AI on Society and Employment
- Ethical Guidelines for AI Development and Deployment
- Robot Motion Planning and Control
- Object Recognition and Grasping
- Human-Robot Collaboration
- Applications of AI in Robotics and Automation
- Medical Image Analysis
- Drug Discovery and Development
- Personalized Medicine
- Applications of AI in Healthcare
- Financial Fraud Detection
- Algorithmic Trading
- Customer Segmentation and Targeted Advertising
- Applications of AI in Finance and Marketing
- Self-Driving Car Technology
- Traffic Optimization and Management
- Autonomous Vehicles and the Future of Transportation
- Applications of AI in Transportation
"I will be the leader of a company that ends up being worth billions of dollars, because I got the answers. I understand culture. I am the nucleus. I think that’s a responsibility that I have, to push possibilities, to show people, this is the level that things could be at."
