What will be taught?

Please see the syllabus for a more detailed guideline of an example structure for the class. This is a personalized 1-on-1 course and the content will be adapted for individual learners. 

Week 1: Introduction to AI and ML. Learners will understand key concepts of AI and ML, including their differences, types, and applications. They'll also explore ChatGPT and prompt engineering, learning how to interact with generative AI tools.

Week 2: Python Foundations and ML Concepts. The course will cover Python basics, essential for AI programming, and introduce key ML algorithms such as Linear Regression, K-Nearest Neighbors, and Decision Trees.

Week 3: Hands-On Coding with ML Libraries. Students will explore data analysis and visualization techniques, and use real-world libraries that are used by professional software and ML engineers to build and evaluate ML models.

Week 4: Deep Learning and Neural Networks. The final week focuses on neural networks using more real-world libraries, culminating in a project where learners build their own neural network.



How is the class structured?

The class is designed for one-on-one interaction, ensuring personalized attention and support. Learners will have opportunities to engage with the instructor through Q&A sessions, and interactive exercises will help solidify their understanding. Each week consists of two lessons, delivered via live Zoom sessions. 

Each lesson will include: 
-A brief review quiz
-A unique hands-on activity or coding exercise
-An interactive personalized 1-on-1 lecture or demonstration
-Slides that support the lectures
-Plenty of space for curiosity, questions, and student exploration



What is my teaching style?

I believe that the practice of having a large group of students sit down and passively absorb information from the teacher is outdated and ineffective. My teaching philosophy revolves around personalized active engagement. In this class, students will have plenty of opportunity to explore their unique interests and spend more time on what they're passionate about. A clear and practical syllabus and accompanying content is also provided for learners who prefer a more guided and structured course. The class is hands-on and fun, making sure that students enjoy learning and remember the concepts better. 



Who is this class for?

Any high-school aged learner can attend! No background or prerequisites are necessary, but it is highly recommended to have experience in a programming language. Python is preferred, because that is the language used in this course. This is a personalized course and we will adapt to any learner experience. For learners without coding experience, we can either cover more high-level concepts or spend more time on coding basics. There are also many great class options for learning Python or other programming languages on Outschool!