for 10 classes
Summer Camp: Machine Learning in Python With Big Data (Level 4)
Completed by 5 learners
Ages 13-18
Live Group Course
Live video meetings
5x per week, 2 weeks
4-10 learners per class
75 min
What's included
10 live meetings
12 hrs 30 mins in-class hoursProjects
2-4 hours per week. Projects are not mandatory but we strongly encourage students to complete them.Assessment
includedClass Experience
This course is designed to provide students with a comprehensive introduction to machine learning concepts and practical applications. It begins with foundational lessons on setting up tools like AICode101, followed by projects that progressively build skills in image recognition, weather prediction, and stock market analysis. Students will learn to manipulate data, generate models, and analyze results using platforms like AICode101 and Google Colaboratory. The course culminates in a review session using Kahoot and final project presentations, allowing students to demonstrate their understanding and application of machine learning principles to various real-world scenarios. For a week to week program, check out the syllabus.
Learning Goals
This course introduces students to machine learning fundamentals through practical projects using AICode101 and Google Colaboratory
They will develop skills in image recognition, weather prediction, stock market analysis, and culminate with a final project presentation showcasing their application of machine learning concepts.
Syllabus
10 Lessons
over 2 WeeksLesson 1:
Overview
Designed to provide students with a very basic understanding of machine learning concepts that they will be able to apply in the course. They will also be shown the tools they will be using throughout the course.
Task: Set up AICode101 Accounts
Students will be tasked with creating AICode101 accounts and walking through the website to learn how it will be used in the course.
75 mins online live lesson
Lesson 2:
Image Recognition Project with AICode101
Designed to provide students with an introduction to image recognition in machine learning. Students will be able to apply concepts in machine learning to generate their own program to recognize categorized images.
Task: Image Recognition Project
Students will be tasked with creating an AICode101 image recognition project. Through this, they will learn key fundamentals of image recognition in machine learning.
75 mins online live lesson
Lesson 3:
Rain in Australia’ Number Project with AICode101
Designed to provide students with an introduction to classification with data in machine learning. Students will be able to apply concepts in machine learning to generate their own program to predict weather.
Task: Number Project
Students will be tasked with creating an AICode101 number project. Through this, they will learn key fundamentals of classification in machine learning.
75 mins online live lesson
Lesson 4:
The Stock Market Fundamentals
Designed to provide students with an introduction to the stock market in preparation for the next lesson. Students will learn about what the stock market is and how it can be incorporated into machine learning.
Task: Stock Market Search
Students will be tasked with navigating financial sites to view different stocks and the associated data that defines a stock and its performance.
75 mins online live lesson
Other Details
External Resources
Learners will not need to use any apps or websites beyond the standard Outschool tools.
Offered by
Teacher expertise and credentials
**USE PROMO CODE: CODEAINEWYEAR2025 FOR $25 OFF ANY 10 WEEK COURSE - Valid until Feb 15**
~We offer early registration, sibling discounts, and multi-course bundles. ~
~Check out our complete Outschool offering here: https://shorturl.at/bcBGP ~
~Get to know our coaches here: https://tinyurl.com/5j5crx59 ~
At AI Code Academy, we specialize in project-based STEM coding, AI, and mathematics programs for young learners. We are one of the few organizations that offer AI and machine learning courses tailored for kids. Our comprehensive curriculum spans from basic computer skills and Scratch coding to more advanced Python, Java, web design, game development, and AI machine learning projects.
Our unique focus is on introducing students to AI early, helping them grasp complex concepts like machine learning, data analysis, and smart devices, while also reinforcing mathematics skills, essential for their success in STEM fields.
With a team of passionate instructors—college students and recent graduates with degrees in Engineering and Computer Science—we provide hands-on, real-world projects that prepare students for future careers in AI, coding, robotics, and mathematics.
Get to know our coaches here: https://tinyurl.com/5j5crx59
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