US$279
for 10 classes包含什麼
10 現場會議
12 小時 30 分鐘 上課時間項目
每週 2-4 小時. Projects are not mandatory but we strongly encourage students to complete them.評估
包括我們無法翻譯此文,請刷新頁面並再試一次。
課堂經歷
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.
學習目標
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.
教學大綱
10 課程
超過 2 週課 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 分鐘線上直播課
課 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 分鐘線上直播課
課 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 分鐘線上直播課
課 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 分鐘線上直播課
其他詳情
外部資源
學習者無需使用標準 Outschool 工具以外的任何應用程式或網站。
提供自
教師專業知識和證書
~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
評論
AI Code Academy 建議接下來的課程...
基於專案的 Java 初學者(AP 電腦科學預科)
AI Code Academy
4.7
(1,792)
US$21 每班
團體課
10 週, 1/週, 1 小時
12-17
AI Code Academy的其他課程
AI Code Academy的其他課程
其他家長也喜歡
關於中級 3 級 Python 編碼的全部內容 | Python 編碼課程
David Sofield
4.9
(831)
US$33 每班
團體課
10 週, 1/週, 1 小時
11-16
關於 Python 編碼專案的一切 | 8 個適合中階人員的 Python 編碼項目
David Sofield
4.9
(831)
US$30 每班
團體課
8 週, 1/週, 1 小時
11-16
關於 Python 初學者編碼的一切 |青少年Python程式設計夏令營
David Sofield
4.9
(831)
US$25 每班
下次會議在 9:15 PM Mon 6/16
團體課
1 週, 4/週, 1 小時
12-17
關於 Python 程式設計 4 級的全部內容 |中級 Python 程式設計課程
David Sofield
4.9
(831)
US$33 每班
團體課
10 週, 1/週, 1 小時
12-17
關於 Python 程式設計 1 級的全部內容 |青少年 Python 程式設計課程
David Sofield
4.9
(831)
US$23 每班
下次會議在 4:15 PM Sun 5/11
團體課
8 週, 1/週, 1 小時
11-16
關於 Python 程式設計第 2 級的所有資訊 |青少年 Python 程式設計課程
David Sofield
4.9
(831)
US$32 每班
下次會議在 8 PM Sun 8/24
團體課
10 週, 1/週, 1 小時
11-16
夏令營:兒童 Python 編碼(簡介)
Dr. Elliott Heflin, Jr.
4.6
(405)
US$19 每班
下次會議在 1 PM Mon 5/12
團體課
2 週, 5/週, 55 分鐘
8-13
初學者 1 對 1 Python 編碼教練(輔導)
Bojan Milinic
5.0
(7)
US$65 每堂課
一對一課程
依需求開班
8-18
夏令營 - Python 程式設計趣味工作坊
Einsteins Square: Chess, Coding, Math, Art, Games
4.8
(5,861)
US$20 每班
下次會議在 10 PM Mon 5/12
團體課
1 週, 5/週, 50 分鐘
12-16
Python 初學者夏令營 |現場趣味 Python 編程
QuattronKids
4.9
(198)
US$15 每班
下次會議在 7 PM Mon 6/2
團體課
2 週, 5/週, 1 小時
8-12
關於 Python 程式設計的一切 | Python 程式設計初學者夏令營 I 級
David Sofield
4.9
(831)
US$22 每班
下次會議在 4:15 PM Mon 6/16
團體課
2 週, 4/週, 1 小時
11-16
初學者 Python 程式設計:學習 Python 和實際程式設計技能的有趣項目
PopSkool: English, Music, Art, Math, Coding & More
5.0
(2)
US$15 每班
下次會議在 6 PM Tuesday
團體課
8 週, 1/週, 55 分鐘
10-14
1:1 私人輔導 Python 編碼 - Python 程式設計簡介
Ziad Ghazi
4.5
(8)
US$55 每堂課
一對一課程
依需求開班
7-18
解鎖Python編碼II-電腦駭客訓練營
Coding Doctors Learning Lab, Inc.
4.8
(1,254)
US$15 每班
下次會議在 8 PM Tue 6/3
團體課
4 週, 2/週, 55 分鐘
11-14
關於 Python 2 級夏令營的一切 |青少年Python程式設計訓練營
David Sofield
4.9
(831)
US$41 每班
下次會議在 8 PM Mon 7/28
團體課
2 週, 4/週, 1 小時
11-16
基於 Python 3 級專案 |生動有趣的 Python 編碼
QuattronKids
4.9
(198)
US$15 每班
下次會議在 7 PM Saturday
團體課
10 週, 1/週, 1 小時
8-12