Course Overview
This course provides an overview of the fundamental concepts and techniques in the field of Artificial Intelligence (AI). Students will explore the history, principles, and applications of AI, gaining insights into how intelligent systems are designed, developed, and deployed. The course covers various subfields of AI, including machine learning, natural language processing, computer vision, and robotics. Students will also discuss the ethical considerations and societal implications of AI technologies.
Course Objectives
By the end of this course, students will be able to:
- Understand the historical context and evolution of AI
- Grasp the fundamental principles and concepts of AI
- Recognize the different subfields and applications of AI
- Develop a basic understanding of machine learning algorithms
- Explore the challenges and opportunities in natural language processing and computer vision
- Discuss the ethical considerations and societal implications of AI technologies
- Gain hands-on experience with AI tools and frameworks
Course Outline
Day 1: Foundations of AI
Day 2: Problem-Solving and Machine Learning
Day 3: Deep Learning and Neural Networks
Day 4: Natural Language Processing and Computer Vision
Day 5: AI in Practice and Ethical Considerations
