Understanding Artificial Intelligence (2026)
Published 4/2026
Created by Manimegalai C T
MP4 | Video: h264, 1920×1080 | Audio: AAC, 44.1 KHz, 2 Ch
Level: Beginner | Genre: eLearning | Language: English | Duration: 25 Lectures ( 3h 35m ) | Size: 831 MB
"A Beginner’s Guide to AI and How It Works"
What you’ll learn
✓ Formulate a problem as a state space search method and its solution using various AI techniques.
✓ Apply appropriate searching techniques to solve a real-world problem.
✓ Develop various game playing strategies to solve real world adversarial search problems.
✓ Design an expert system to implement advance techniques in Artificial Intelligence.
Requirements
● NIL
Description
Understanding Artificial Intelligence is designed to provide a comprehensive introduction to the fundamental principles, techniques, and real-world applications of AI. The course begins by exploring the concept of intelligence in machines and how it differs from human intelligence. It introduces learners to intelligent agents, problem-solving methods, and various search algorithms used to find optimal solutions in complex environments.
The course further covers knowledge representation techniques, enabling machines to store, process, and utilize information effectively. Students are introduced to core machine learning concepts, including supervised and unsupervised learning, along with an overview of algorithms that allow systems to learn from data and improve performance over time. Basic concepts of neural networks and their role in pattern recognition and decision-making are also discussed.
In addition to theoretical knowledge, the course emphasizes practical applications of AI across domains such as healthcare, finance, automation, and smart systems. Learners will understand how AI is used to solve real-world problems and enhance efficiency in various industries. The course also addresses important ethical considerations, including data privacy, bias, and the societal impact of AI technologies.
By the end of this course, students will have a solid foundation in AI concepts and will be able to analyze, evaluate, and apply basic AI techniques to develop intelligent solutions for real-world challenges.
Who this course is for
■ Apply knowledge of mathematics, natural science, computing, engineering fundamentals and an engineering specialization to the solution of complex engineering problems.
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