包含什麼
4 預錄課程
4 週
教師的支持1 年訪問權
到內容作業
每週 1 小時. Homework assignments will vary each week and may include individual or group projects, reading, or online research. Students should expect to spend approximately 30 mins per week on homework assignments.評估
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.我們無法翻譯此文,請刷新頁面並再試一次。
課堂經歷
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.
學習目標
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
教學大綱
4 課程
超過 4 週課 1:
Introduction to AI
Explore AI basics, history, types of AI algorithms, and technologies.
課 2:
Automation with AI
Learn how AI automates tasks across industries.
課 3:
Time Management with AI
Discover AI tools for efficient task prioritization and scheduling.
課 4:
Budgeting with AI
Use AI for financial management and investment decisions.
其他詳情
父母的引導和規範
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。
來源
"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.
教師專業知識和證書
1 老師擁有學士學位
學士學位 在 科學 從 Brighton University UK
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.