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Introduction To Artificial Intelligence
Rating: 4.4 out of 5(4,043 ratings)
36,444 students

Introduction To Artificial Intelligence

Introducing AI concepts in a very simple way and make it easy for you to learn
Created byMohammed Shahin
Last updated 5/2020
English
English [Auto],

What you'll learn

  • Get a sold overview and theory about AI
  • Understand the concept of machine learning Vs. Rule based programming
  • Understand how and where we can apply AI
  • Introducing to know AI methods like Machine Learning and deep learning
  • Getting to know AI fields
  • Understand AI development Process
  • Get some ideas about AI algorithms and machine learning types
  • Get an overview of Azure ML studio to develop AI model without coding experiance

Course content

2 sections • 12 lectures • 1h 7m total length

  • Course Outlines2:11

    Explore what artificial intelligence is, its history and fields, compare rule-based programming with machine learning, review applications, pros and cons, and introduce learning pathways and accessible platforms.

  • Human Intelligence Vs. Artificial Intelligence3:59

    Explore how human intelligence, including learning, awareness, language, decision making, and planning, relates to artificial intelligence, with examples like Siri, cancer detection, and YouTube recommendations.

  • Quiz 1
  • AI History from the founders12:06

    Explore the origins of artificial intelligence from Alan Turing's test to the Dartmouth Conference, highlighting John McCarthy, neural networks, and key milestones.

  • Quiz 2
  • Rule based Program Vs. Artificial Intelligence Program6:41

    Examine the contrast between rule-based programming and machine learning, showing how data drives pattern discovery and model building instead of hard-coded rules.

  • Quiz 3
  • AI Different Fields7:36

    Explore how machine learning underpins ai, handling structured data and predicting outcomes. Deep learning powers photos, text, and voices through computer vision, natural language processing, and speech recognition.

Requirements

  • No any prerequisites required.

Description

This course considered a start point for everyone who is interested to understand and get an overview about AI, and most of its concepts; techniques are explained without the need of any coding/programming skills or background.


By the end of this training, participant will learn the followings:

- Define & explain Key Concepts of AI.

- Highlighting AI Use Case & Applications.

- Differentiate different Machine learning techniques.

- Explaining AI development Process

- An overview of Azure ML studio to develop AI solutions without coding.


Artificial intelligence (AI) refers to the simulation of human intelligence in machines that are programmed to think like humans and mimic their actions. The term may also be applied to any machine that exhibits traits associated with a human mind such as learning and problem-solving.

The ideal characteristic of artificial intelligence is its ability to rationalize and take actions that have the best chance of achieving a specific goal. A subset of artificial intelligence is machine learning, which refers to the concept that computer programs can automatically learn from and adapt to new data without being assisted by humans. Deep learning techniques enable this automatic learning through the absorption of huge amounts of unstructured data such as text, images, or video.

Who this course is for:

  • Any one who wants to learn about Artificial Intelligence technology.

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