Start with evaluation classes, selected students continue to develop their interests in math and AI with scientific programming language - python. At elementary level, students are required to understand basic concept of artificial intelligence, e.g. alpha go, chat bot, face recognition etc. By the end of interest development students should be able to build apps including: chat bot, face recognition and games like angry bird etc .
At intermediate level, students start to learn college algebra, calculus, statistics , basic AI models and scientific programming with python. By the end of the courses, student should master college level of math and able to programming advanced math functions including calculus, statistics and use basic AI models to solve real problems. At school, students should demonstrate outstanding academic leadership.
At advance level, students start to learn advance AI models including neuron networks and reinforcement learning. And use the most popular models to solve real problems. By the end of this course, students should master the skills of being a data scientists and finding a job with a good pay check.
At master level, innovation is the essential goal, students will learn to create AI libraries like tensorflow, scikit-learn from scratch. Working with university professors students are encouraged to develop new AI models, publish papers, file patents and work on real research projects.
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This course introduce students to the AI world in various aspects. It is a good entry course for student to know AI. Selected student will be suggested continue on more advanced AI courses
In this course, students are encouraged to master the scientific programming language python and prepare for next level AI & math programming
This course help students to prepare math knowledge for AI. They will learn college algebra, calculus, statistics required by AI models.
In this course students dive into math programming with python building algebra, calculus, statistics functions
This course introduce students to AI modelling and applications. They will start to learn what are AI models and how they are used to solve real problems.
Students learn how to solve problem with advanced machine learning models using python.
Students learn how to solve problem with advanced deep learning models using python.
Students learn how to solve problem with advanced reinforcement learning models using python.
Working with university professors, students conduct research and learn how to programming advance machine learning functions, models from scratch.
Working with university professors, students conduct research and learn how to programming advance neuron network models, functions from scratch
Working with university professors, students conduct research and learn how to programming advance reinforcement learning models, functions from scratch
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