AI 1 - Introductory Machine Learning


AI 1 is a core course at the L4 level. The main goal is for students to start developing applications using AI, solve real-world problems, and to be able to work independently on practical AI algorithms and integrate them into projects. In this class, students will need to work with all common machine learning algorithms and function libraries, and also complete a comprehensive AI and data analysis project that can be submitted for competition, to prepare for the next stage of AI 2 programming.

Level

L4 Applied Programming

Pathway

Artificial Intelligence

Skill Level

Intermediate to Advanced

Class Size

1-on-1 or Group (2-4 students)

Exploring Machine Learning With Python

Have you ever been curious about how engineers design self-driving cars? Have you ever been curious about how Google made a computer beat the world Go champion? The answer is machine learning! Using Python's machine learning libraries, you can rapidly experience and practice how to train your computer to be smarter.

From Machine Learning to Deep Learning

From traditional machine learning to the latest deep learning, understand deep learning techniques and tools. Experiment with your own data and models to make the AI that you want to make.

Advanced Applications for Artificial Intelligence

Image recognition, speech recognition, and natural language processing are the frontier applications of AI that you see every day. In this course, you can design and test AIs that are masters that those topics.

Python Server Program Development

Connect your AI to a website to make your own web app that acts intelligently.

Imagine the Possibilities

Python and its many machine learning and AI libraries will help you elevate your programming skills and make applications that can help change the world.

Learning Objectives

    Learn the how to use artificial intelligence and program practical AI applications!

  • Learn advanced knowledge of the Python programming language
  • Master the basics of machine learning and artificial intelligence
  • Learn fundamental applications of Scikit-Learn
  • Independently design machine learning experimental methods and optimization
  • Develop students' scientific innovation skills and entrepreneurial thinking
  • Participate in technology and computer science-related project competitions

Course Features

  • In-person or Online Available
  • Project-Oriented Learning
  • Exercise System Support

Scheduling

Upon finishing the trial and assessment, classes will be scheduled based on the student’s availability. Please contact us for the Trial class.

Try a Free Class

Project Based

Our courses are designed to lead students to build their own startup projects.

Experienced Instructors

Passion for code. Unmatched expertise. Personality that brings interaction and encouragement always.

Aim at Competitions

Beyond learning programming, students are prepared to compete in science fairs, research, and entrepreneurship competitions.

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