Artificial Intelligence 🤖
Chapter 1: Introduction to Artificial Intelligence
➡️Definition and Scope of AI
➡️History and Evolution
➡️Applications of AI
➡️Foundations of AI
➡️Intelligent Agents
Chapter 2: Problem Solving and Search Techniques
➡️Problem Formulation
➡️State Space Representation
➡️Search Strategies
➡️Heuristics
➡️Adversarial Search
Chapter 3: Knowledge Representation
➡️Approaches to Knowledge Representation
➡️Inference Techniques
➡️Knowledge Engineering
➡️Rule-Based Systems
Chapter 4: Reasoning and Uncertainty
➡️Uncertain Knowledge and Probabilistic Reasoning
➡️Fuzzy Logic Systems
➡️Non-monotonic Reasoning
➡️Default and Truth Maintenance Systems
Chapter 5: Machine Learning
➡️Definition and Scope
➡️Types of Learning
➡️Learning Algorithms
➡️Overfitting and Bias-Variance Trade-off
Chapter 6: AI Ethics and Societal Impact
➡️Ethical Issues in AI
➡️Legal Implications
➡️AI and Employment
➡️Explainable AI (XAI)
➡️Future Trends in AI
Chapter 7: AI Tools and Technologies
➡️Popular AI Programming Languages
➡️AI Libraries and Frameworks
➡️Development Environments
➡️Mini Projects and Case Studies