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Artificial Intelligence

Category:AI & Data Science
12 Weeks
On-premises
Instructor Led

Course Brief

This introductory course on Artificial Intelligence (AI) offers a comprehensive overview of fundamental concepts, techniques, and applications. Students will explore AI's history, core techniques like machine learning and natural language processing, and the ethical implications, fostering a critical understanding of AI's impact on society and the future.

  • What is Artificial Intelligence? 
  • History of Artificial Intelligence
  • Philosophical Foundations of Artificial Intelligence 
  • Intelligent Agents 
  • Applications of Artificial Intelligence 


 

  • 2.1 Problem Solving and Search Algorithms 
  • 2.2 Logic and Knowledge Representation 
  • 2.3 Uncertainty and Reasoning under Uncertainty 
  • 2.4 Learning and Adaptation 

  • Uninformed Search Algorithms 
  • Informed Search Algorithms 
  • Heuristic Search Algorithms 
  • Game Playing and Search Strategies 

  • Logical Representation of Knowledge 
  • Propositional Logic and First-Order Logic
  • Semantic Networks and Frames 
  • Ontologies and Knowledge Representation in AI 

  • Supervised Learning 
  • Unsupervised Learning 
  • Reinforcement Learning 
  • Model Evaluation and Selection 
  • Machine Learning Applications 

  • Natural Language Understanding 
  • Natural Language Generation 
  • Sentiment Analysis 
  • Machine Translation 
  • Applications of Natural Language Processing 

  • Introduction to Deep Learning 
  • Convolutional Neural Networks 
  • Recurrent Neural Networks
  • Generative Adversarial Networks 
  • Applications of Deep Learning 

  • Bias and Fairness in AI 
  • Privacy and Security Concerns in AI 
  • The Impact of AI on Society and Employment 
  • Ethical Guidelines for AI Development and Deployment 

  • Robot Motion Planning and Control 
  • Object Recognition and Grasping 
  • Human-Robot Collaboration 
  • Applications of AI in Robotics and Automation

  • Medical Image Analysis 
  • Drug Discovery and Development
  • Personalized Medicine 
  • Applications of AI in Healthcare 

  • Financial Fraud Detection 
  • Algorithmic Trading 
  • Customer Segmentation and Targeted Advertising 
  • Applications of AI in Finance and Marketing 

  • Self-Driving Car Technology 
  • Traffic Optimization and Management
  • Autonomous Vehicles and the Future of Transportation 
  • Applications of AI in Transportation

"I will be the leader of a company that ends up being worth billions of dollars, because I got the answers. I understand culture. I am the nucleus. I think that’s a responsibility that I have, to push possibilities, to show people, this is the level that things could be at."

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