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INTRODUCTION TO AI AND BIG DATA
New
2 students

INTRODUCTION TO AI AND BIG DATA

Learn AI & Big Data fundamentals: Machine Learning, Data Analysis, Visualization & Real-world Applications
New
Created byPROJECT SYSTEM LABORATORY
Last updated 4/2026
English

What you'll learn

  • Identify real-world applications of AI across industries
  • Understand AI role in transportation and environmental monitoring
  • Evaluate economic and social impact of AI and Big Data
  • Explain the history and evolution of AI technologies
  • Willingness to explore AI concepts and data-driven technologies

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Course content

1 section • 17 lectures • 2h 40m total length

  • INTRODUCTION5:03
  • HISTORICAL CONTEXT9:20
  • AI AND BIG DATA APPLICATION6:01
  • ARTIFICIAL INTELLGENECE APPLICATION10:51
  • ENVIRONMENTAL MONITORING10:15
  • CHALLENGES IN DATA SECURITY18:45
  • ECONOMIC IMPACT12:42
  • SOCIAL IMPACT7:41
  • AI AND BIG DATA IN LAW ENFORCEMENT8:36
  • ETHICAL CONSIDERATIONS10:18
  • AI IN E-COMMERCE11:57
  • FUTURE TRENDS IN AI AND BIG DATA5:34
  • USE_CASE_1_ENTERTAINMENTS AND MEDIA9:41
  • USE_CASE_2_CYBER SECURITY9:17
  • USE_CASE_3_HUMAN RESOURCES8:30
  • SIMPLE CHATBOT7:39
  • SIMPLE PRODUCT RECOMMENDATION SYSTEM8:44

Requirements

  • No prior programming experience required. Basic computer knowledge and interest in AI and Big Data is enough. A laptop with internet is recommended
  • Anyone curious about AI and data analytics fundamentals

Description

This course contains the use of artificial intelligence. This course also provides a comprehensive introduction to Artificial Intelligence (AI) and Big Data, designed for beginners and aspiring professionals. You will learn the fundamental concepts of AI, including machine learning, data processing, and intelligent systems, along with the importance of Big Data in modern industries.

The course covers essential topics such as data collection, data preprocessing, exploratory data analysis (EDA), and data visualisation techniques using popular tools and libraries. You will also understand how machine learning models are built, trained, and evaluated using real-world datasets.

In addition, the course introduces key Big Data technologies and concepts such as Hadoop, data storage, and scalable data processing. Practical examples and simple projects will help you apply your knowledge and gain hands-on experience.

By the end of this course, you will be able to understand how AI and Big Data work together to solve real-world problems in industries like healthcare, finance, and business analytics.

This course is ideal for students, beginners, and professionals who want to start a career in Data Science, AI, or Analytics without prior experience.

Furthermore, you will gain insights into industry trends, career opportunities, and practical tools used by data professionals, helping you build a strong foundation for advanced learning and real-world projects.

Who this course is for:

  • Beginners who want to learn Artificial Intelligence and Big Data
  • Individuals interested in future technologies and innovation

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