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AI Course Fundamental
The chapter explores the future of artificial intelligence, contrasting narrow AI with artificial general intelligence (AGI), and discusses emerging trends such as explainable AI, edge AI, and automated machine learning. It outlines various career paths and research areas in AI, emphasizing the transformative potential of AI technologies and the importance of ethical considerations. It concludes by highlighting the need for adaptability in a rapidly evolving field.
15 Chapters
180 hr
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Course Chapters
Chapter 1
Introduction to Artificial Intelligence
Chapter 2
Intelligent Agents and Environments
Chapter 3
Search Algorithms and Problem Solving
Chapter 4
Knowledge Representation and Reasoning
Chapter 5
Planning and Decision Making
Chapter 6
Machine Learning Basics
Chapter 7
Deep Learning and Neural Networks
Chapter 8
Natural Language Processing (NLP)
Chapter 9
Computer Vision
Chapter 10
Reinforcement Learning
Chapter 11
AI in Robotics
Chapter 12
Ethics and Bias in AI
Chapter 13
AI in Real-world Applications
Chapter 14
Tools and Technologies for AI Development
Chapter 15