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Introduction to Artificial Intelligence
Coursera
Course
Unknown

Introduction to Artificial Intelligence

O.P. Jindal Global University

This course provides a comprehensive introduction to artificial intelligence concepts and applications across various industries and domains.

Unknown17 weeksArabic, German, English, French

About this Course

This course provides a comprehensive introduction to Artificial Intelligence (AI), a transformative force shaping industries and societies worldwide. AI now plays a critical role in diverse domains—from predicting consumer behavior to enabling intelligent automation. The course offers a broad understanding of core AI concepts, emphasizing the strategic overview of its applications rather than deep technical implementation. Learners will explore intelligent agents, uninformed and informed search strategies, logic-based reasoning, game-playing techniques, and knowledge representation. The curriculum also includes natural language processing, machine learning classification, planning algorithms, and expert systems. These topics are presented with real-world context to help students grasp how AI systems make decisions, solve problems, and adapt to complex environments. Designed for learners from business and interdisciplinary backgrounds, the course highlights the practical implications of AI in research and industry. Through case-based learning and conceptual exercises, students will develop the ability to evaluate AI-driven solutions and understand the ethical considerations surrounding their use. By the end of the course, participants will be equipped with the knowledge to critically engage with AI tools and trends, enabling them to contribute meaningfully to innovation and decision-making in a data-driven world

What You'll Learn

  • Understand AI concepts, techniques, and algorithms
  • Apply AI methods to real-world problems
  • Explore search strategies, logical reasoning, and game techniques
  • Analyze knowledge representation in intelligent systems
  • Evaluate AI-driven solutions through practical exercises and case studies

Prerequisites

  • Basic computer and internet skills
  • Ability to follow written instructions in English

Instructors

D

Dr. Arpit Singh

Assistant Professor

Topics

Machine Learning
Data Science
Information Architecture
Artificial Intelligence
Complex Problem Solving
Decision Tree Learning
Probability & Statistics
Bayesian Statistics
Computational Logic
Natural Language Processing

Course Info

PlatformCoursera
LevelUnknown
PacingUnknown
PriceFree

Skills

تعلّم الآلة
علوم البيانات
هندسة المعلومات
الذكاء الاصطناعي
حل المشكلات المعقدة
تصنيف أشجار القرار
الإحصاء والاحتمالات
الإحصاء البايزي
Computational Logic
Natural Language Processing

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