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