About
This comprehensive course on Artificial Intelligence (AI) is designed to take learners from zero knowledge to a working understanding of AI concepts and applications. This course covers fundamental principles, advanced techniques, and practical implementations of AI. By the end of the course, learners will be equipped with the skills needed to understand and apply AI in various domains. Table of contents Chapter 1: Introduction to Artificial Intelligence Chapter 2: Basics of Machine Learning Chapter 3: Data Preprocessing and Visualization Chapter 4: Supervised Learning Techniques Chapter 5: Unsupervised Learning Techniques Chapter 6: Neural Networks and Deep Learning Chapter 7: Convolutional Neural Networks (CNNs) Chapter 8: Recurrent Neural Networks (RNNs) Chapter 9: Natural Language Processing (NLP) Chapter 10: Advanced NLP Techniques Chapter 11: Reinforcement Learning Chapter 12: AI in Robotics Chapter 13: AI Ethics and Governance Chapter 14: AI in Healthcare Chapter 15: AI in Finance Chapter 16: AI in Education Chapter 17: AI in Smart Cities Chapter 18: AI in Agriculture Chapter 19: AI Project Development Chapter 20: Future Trends in AI