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Artificial

Intelligence

An Artificial Intelligence (AI) course introduces the fundamental concepts, methods, and systems that enable machines to perform tasks that typically require human intelligence, such as reasoning, learning, perception, and decision-making.

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Course Detail

This course provides a comprehensive introduction to the principles and techniques used to build intelligent systems. It focuses on enabling machines to simulate human intelligence through learning, reasoning and decision-making.

Course Features

  • Intelligent Agents
  • Search Techniques
  • AI Planning & Decision Making
  • Lexical Sense

Lexsense

Semantic Search

Lexsense is a research-driven platform focused on helping computers understand language, meaning, and context. It works at the intersection of AI, linguistics, and data science, especially in fields like NLP, semantic search, and machine learning. 

  • 20 hours on-demand video
  • Full Lifetime Access
  • Access on Mobile and TV
  • Certificate of Completion

Course Content

11 sections • 28 lecture • 19h 33m total length

Introduces the concept of machines performing tasks that require human intelligence. Covers the history, types, and key applications of AI in various domains.

Explains systems that perceive their environment and take actions to achieve goals. Covers different types of agents and how they make rational decisions.

Focuses on algorithms used to explore problem spaces and find optimal solutions. Includes uninformed and informed search methods such as BFS, DFS, and A*.

Describes how information and facts are structured for machines to process. Covers logical models and frameworks for representing real-world knowledge.

Explores how AI systems draw conclusions from available knowledge. Includes techniques like forward and backward chaining in rule-based systems.

Focuses on strategies for selecting actions to achieve specific goals. Includes planning algorithms and decision-making models in dynamic environments.

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  • I’ve learned so much from this platform—clear explanations, real‑world exercises, and expert instructors make mastering NLP, data, and linguistics both fun and rewarding..
    John Karim
    Designer
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