含まれるもの
4 録画レッスン
4 週間
教師のサポート1年間のアクセス
コンテンツに宿題:
週1時間. 含まれるテスト
Learner progress will be assessed through regular feedback on homework assignments and a final project, which will be evaluated based on its functionality and creativity.この文章は自動翻訳されています
このクラスで学べること
in this 4 part 16-week class, students will learn the basic concepts of Artificial Intelligence, including machine learning, natural language processing, and computer vision. They will also learn how to create their own AI programs using Python and other tools. By the end of the class, learners will have gained a solid foundation in Artificial Intelligence and will have the skills to create their own intelligent programs using Python and other tools. The flexible schedule (Flex Class) allows your learners to watch the pre-recorded videos and do them at a time that is FUN for them! You can also spend extra time on the topics your child is most interested in. Since this is a flex class with no live meetings, students can log in at a convenient time to complete the week's lesson. We will be going through each week as a group and I will post the lesson weekly (depending on which day you started). The videos will contain the information required to give students a good understanding of each topic and each one will include homework for the students to undertake during the week, as part of a project. After watching each video and completing the homework assignments, students will be provided with feedback and the specific next steps on how to create a process to manage their finances successfully. Time frame for the Week: Mondays - The teacher will post the information needed for the week. Students can submit questions. Tuesdays - Wednesday - The teacher can answer any questions pertaining to the topic of the week. The students will need to complete any homework assignments and answer any questions in the discussion. Thursday - Students need to have all tasks completed and uploaded in the classroom for teacher feedback and discussion. Students will discuss it among themselves. Friday - The teacher will provide feedback to the class and individual students. Saturday - Sunday - The teacher will be available to answer any questions that the students may have for the week or the next week. Please note: This course requires no prior experience. *If you do not see a time or date listed for a class that interests you, please message me with a few possible dates and times, and I will do my best to offer a session that will work for your schedule. ▬▬▬▬▬▬ Concessions ▬▬▬▬▬▬ For parents/families who feel their child would benefit from this course, but their budget does not allow for it, I do offer a number of discounts for families of lower income. Please message me with the course, dates and times you are interested in to learn more about the discounts I might be able to offer.
学習到達目標
Students will learn the basic concepts of Artificial Intelligence, including machine learning, natural language processing, and computer vision. Define artificial intelligence and explain its various applications.
Understand how machine learning algorithm
シラバス
4 レッスン
4 週間以上レッスン 1:
Introduction to AI
Explore AI basics, history, types of AI algorithms, and technologies.
レッスン 2:
Automation with AI
Learn how AI automates tasks across industries.
レッスン 3:
Time Management with AI
Discover AI tools for efficient task prioritization and scheduling.
レッスン 4:
Budgeting with AI
Use AI for financial management and investment decisions.
その他の情報
保護者へのお知らせ
This course is designed to be safe and accessible for all learners. There is no content that should be upsetting or scary. However, students will be encouraged to think critically and solve problems, which can sometimes be challenging. Parental support in encouraging persistence and resilience would be beneficial. Please note that we will not be using third-party tools. We will be are only using resources in a screen-share by the teacher in the class.
外部リソース
学習者は、Outschoolが提供する基本ツール以外のアプリやウェブサイトを使用する必要はありません。
使用する教材
"Artificial Intelligence: A Modern Approach" by Stuart Russell and Peter Norvig - This is a classic textbook on AI that provides a comprehensive introduction to the field.
"Deep Learning" by Ian Goodfellow, Yoshua Bengio, and Aaron Courville - This is a popular textbook on deep learning, which is a subset of AI that involves using neural networks to learn from data.
"Machine Learning Yearning" by Andrew Ng - This is a practical guide to machine learning that is designed for beginners who want to learn how to build and deploy machine learning systems.
教師の専門知識と資格
1 先生は学士号を取得しています
学士号 Brighton University UK から 科学 へ
The course will be taught by a seasoned computer scientist who holds a Bachelor's degree in Computer Science with Honours and has over 20 years of teaching experience in a variety of topics for learners aged 8-80. The teacher also has expertise in teaching conversational English to both children and adults worldwide. Notably, the teacher is an entrepreneur who has founded three successful companies before the age of 30, one of which specializes in AI for business efficiency and optimization. With a deep understanding of financial management and the practical application of AI in business, the teacher is an ideal guide for learners seeking to identify and seize opportunities to make money, manage their finances, and understand the transformative power of AI.
レビュー
自分のペースで学べるコース
$25
週ごとまたは$99 ですべてのコンテンツ4 録画済みレッスン
4 間の講師サポート
開始日を選択してください
コンテンツへの 1 年間のアクセス
開始日を選択してください
年齢: 11-14