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Introduction to Artificial Intelligence
Rating: 4.1 out of 5(105 ratings)
2,122 students

Introduction to Artificial Intelligence

Artificial Intelligence, Machine Learning, Deep Learning, and Applications of Artificial Intelligence
Created byAdriane Empaynado
Last updated 12/2023
English

What you'll learn

  • Concepts of Artificial Intelligence
  • Applications of Artificial Intelligence
  • Concepts of Machine Learning
  • Applications of Machine Learning
  • Concepts of Deep Learning
  • Applications of Deep Learning

Course content

1 section • 5 lectures • 55m total length

  • Part 1A: Introduction to Artificial Intelligence7:30

    Part 1A of this course discusses the history and definition of artificial intelligence. After this lecture, students will have an understanding of the concept of artificial intelligence and its applications.

  • Part 1B: Types of Artificial Intelligence8:52

    Part 1B of this course discusses the types of artificial intelligence, it discusses narrow AI and general AI. After this lecture, students will have an understanding of the concept of the types of artificial intelligence and its applications.

  • Part 2A: Machine Learning13:14

    Part 2A of this course discusses the types of machine learning and its examples such as supervised learning, unsupervised learning, reinforcement learning, and semi-supervised learning. After this lecture, students will have an understanding of the concept of machine learning and its applications.

  • Part 2B: Overview of Machine Learning6:57

    Part 2B of this course discusses the types of machine learning and its examples such as supervised learning, unsupervised learning, reinforcement learning, and semi-supervised learning. After this lecture, students will have an understanding of the concept of machine learning and its applications.

  • Part 3: Deep Learning18:44

    Part 3 of this course discusses the common types of deep learning and its examples such as feedforward neural  network, convolutional neural network, and general adversarial network. After this lecture, students will have an understanding of the concept of deep learning and its applications.

Requirements

  • No programming/coding. You will learn a conceptual course in Artificial Intelligence

Description

Greetings, and welcome to this enriching educational experience! Throughout the duration of this comprehensive course, you will delve into a fascinating exploration of various facets related to artificial intelligence (AI). Our journey will commence with an insightful examination of the historical evolution of AI, tracing its roots and milestones that have shaped the landscape of intelligent machines.

As we progress, you will gain a nuanced understanding of the very essence of artificial intelligence, unraveling its multifaceted definition and comprehending the underlying principles that distinguish it in the realm of technology. The course is designed to equip you with a foundation, ensuring that you grasp the core concepts of machine learning—a pivotal component in the AI ecosystem.

Venturing further, we will unravel the intricate concepts of deep learning, delving into the layers of neural networks and the sophisticated algorithms that emulate the human brain's capacity to process information. This in-depth exploration will empower you with the knowledge required to navigate the intricate world of deep learning, fostering a deeper appreciation for its transformative potential.

Beyond theoretical insights, this course places a strong emphasis on practical applications. You will have the opportunity to explore real-world scenarios where artificial intelligence is making waves, revolutionizing industries, and contributing to advancements across various domains.

Who this course is for:

  • Students that wants to learn Artificial Intelligence
  • Want to understand Artificial Intelligence
  • Zero knowledge about Artificial Intelligence

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