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[NEW] Learn AI, ML, DL, Gen AI Basics: A Quick Guide [2026]
Rating: 4.6 out of 5(6 ratings)
189 students
Last updated 3/2026
English

What you'll learn

  • Understand Artificial Intelligence, Machine Learning, Deep Learning, and Generative AI clearly
  • Explain AI concepts confidently in interviews and discussions
  • Understand how AI is used in software development, jobs, and daily life
  • Build a strong foundation for advanced AI learning paths

Course content

7 sections39 lectures2h 35m total length
  • What is AI?2:42

    Discover how artificial intelligence uses data and machine learning to learn patterns and make decisions. Explore how it can perform diverse tasks—from voice assistants to image recognition and beyond.

  • How Does AI Learn?3:00
  • Understanding Large Language Models (LLMs)5:36
  • What’s the Secret Math Behind AI?1:40
  • What are the Major Sectors Impacted by AI?1:42

    Explore how ai is transforming healthcare, finance, education, transportation, software, and media through real-time monitoring, personalized tutoring, self-driving tech, and creative tools.

  • What is Computational Intelligence5:14
  • What is RAG (Retrieval Augmented Generation)?5:09

Requirements

  • There are no specific prerequisites for this course. No prior knowledge of Artificial Intelligence, Machine Learning, or programming is required. A basic understanding of computers and an interest in learning AI concepts is sufficient.

Description

In this course, you will quickly learn the fundamentals of Artificial Intelligence, Machine Learning, Deep Learning, and Generative AI. This course also answers common AI questions in a simple and beginner-friendly way.


Artificial Intelligence

Artificial Intelligence is the ability of a computer or machine to think and act like a human. It allows systems to understand information, learn from experience, reason about problems, and make decisions such as recognizing faces, understanding speech, and recommending content.


Machine Learning

Machine Learning is a part of Artificial Intelligence where computers learn from data instead of being directly programmed. The system improves over time by identifying patterns in data, such as predicting prices, detecting spam emails, or recommending products.


Deep Learning

Deep Learning is a part of Machine Learning that uses neural networks inspired by the human brain and it works well with large amounts of data. It is used in areas like image recognition, speech recognition, and autonomous systems.


Generative AI

Generative AI is a type of Artificial Intelligence that can create new content such as text, images, audio, code, or videos. Instead of only analyzing data, it produces original results based on patterns learned from existing data.


What You Will Learn

  • Understand Artificial Intelligence, Machine Learning, Deep Learning, and Generative AI clearly

  • Explain AI concepts confidently in interviews and discussions

  • Understand how AI is used in software development, jobs, and daily life

  • Build a strong foundation for advanced AI learning paths

Who this course is for:

  • This course is designed for beginners with no prior AI experience. It provides a quick and clear introduction to the fundamentals of Artificial Intelligence, Machine Learning, Deep Learning, and Generative AI.