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Beginner Friendly Intro to AI Course (Part 1)
Rating: 4.1 out of 5(39 ratings)
1,345 students

Beginner Friendly Intro to AI Course (Part 1)

Diving into the Exciting World of Artificial Intelligence, Created by a High Schooler for High Schoolers
Created byNidhi Parthasarathy
Last updated 8/2024
English

What you'll learn

  • Basics of AI, including applications, misconceptions, branches, history, and ethics
  • Basics of python, including variables, loops, data structures, and basic algorithms
  • Basics of libraries, including pandas, numpy, and matplotlib
  • Basics of ML, including supervised, unsupervised, reinforcement learning, regression and classification, and various ML models/algorithms
  • Basics of Computer Vision, including neural networks, convoluted neural networks, deep learning, and transfer learning

Course content

3 sections • 25 lectures • 1h 45m total length

  • What is AI? (1)3:28

    Explain what ai is, and how machine learning and deep learning, including neural networks, enable daily technologies like voice assistants and recommendations. Debunk common ai misconceptions.

  • Boston Dynamics Video0:01
  • What is AI? (2)0:52
  • Branches of AI (1)3:53
  • Tonight Show Video0:01
  • Branches of AI (2)1:05
  • History of AI7:13

    Trace the history of AI from early neural networks to modern deep learning and transformer models. Highlight milestones like Deep Blue, SVM, and data-driven applications across industries.

  • AI Bias and Ethics (1)2:35
  • Algorithmic Bias and Fairness: Crash Course AI Video0:02
  • AI Bias and Ethics (2)0:54
  • AI Dangers Ted Talk0:02
  • AI Bias and Ethics (3)0:32

    Explore ethical concerns and responsible ai development to avoid future conflicts as you begin your journey into ai. Complete the intro quiz via the qr code or bit.ly.

Requirements

  • No programming experience is needed! Beginner friendly course.

Description

*This course is meant for purchase by an adult over 18*


Targeted towards high schoolers, this course covers the basics of AI, including its applications, misconceptions, branches, history, and ethics. The student will learn Python programming essentials, such as variables, loops, data structures, and basic algorithms, along with key Python libraries like pandas, numpy, and matplotlib. Moreover, the course introduces machine learning concepts, including supervised, unsupervised, and reinforcement learning, as well as regression, classification, and various ML models and algorithms. The student will also delve into computer vision, exploring neural networks, convolutional neural networks (CNNs), deep learning, and transfer learning.

This course is designed to be engaging and easy to understand, making complex topics accessible for high school students. Each topic is explained with simple examples and hands-on activities to apply what you learn. By the end of the course, the student will have a solid foundation in AI and Python programming, enabling the student to tackle real-world problems using technology.

Whether the student is interested in using AI for health, education, or any other field, this course will give them the tools and knowledge they need to start their journey.  Enroll in this course to build a strong foundation in AI, and acquire the skills and knowledge to create impact in this special field!

Who this course is for:

  • This course is meant for high schoolers and ambitious middle schoolers who are interested in learning more about AI and making an impact.

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