FLEX AI 更好地學習和研究人工智慧 Chatgpt 16W3
16 週課程，探索 AI 技術（如 ChatGPT 等人工智慧）如何幫助您在現實生活中更好更快地學習和學習。如何掌握人工智慧以獲得更好的成績。
Explosive Learning Jo Reynolds Life Skill Teachers
平均評分：
4.8
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熱門課程
包含什麼
16 預錄課程
16 週
教師的支持1 年訪問權
到內容作業
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 weekly homework assignments and a final project.我們無法翻譯此文，請刷新頁面並再試一次。
課堂經歷
In this 16-week AI for Better Learning class, students will learn how artificial intelligence can help them learn better and faster, with a focus on the innovative chatbot, ChatGPT. Students will gain an understanding of what artificial intelligence is and how it can be used to improve their learning experience. The class will be divided into the following weeks and topics: Week 1: Introduction to Artificial Intelligence Week 2: Understanding Chatbots Week 3: How Chatbots Learn Week 4: Natural Language Processing Week 5: How Chatbots Respond Week 6: Interactive Chatbots Week 7: Advantages of Chatbots for Learning Week 8: ChatGPT's Features and Benefits Week 9: Setting Up ChatGPT Week 10: Starting a Chat with ChatGPT Week 11: Advanced Features of ChatGPT Week 12: Using ChatGPT to Improve Reading Skills Week 13: Using ChatGPT to Learn New Vocabulary Week 14: Using ChatGPT to Practice Conversational Skills Week 15: Using ChatGPT for Homework Help Week 16: Final Project and Recap By the end of the class, students will have a solid understanding of artificial intelligence and the many ways in which it can be used to enhance their learning experience. They will understand how to use it to improve their reading, vocabulary, conversation skills, and get homework help. They will have completed a final project that showcases their newfound knowledge and skills. The flexible schedule (Recorded Flex Class) allows learners to watch pre-recorded videos and complete assignments at their convenience. Students can spend extra time on topics that interest them most. As a flex class, there are no live meetings, but students can submit questions to the teacher and receive feedback on assignments. After watching each video and completing the homework assignments, students will be provided with feedback and the specific next steps on how to improve or adapt. 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.
學習目標
Students will learn about the basics of AI and how it can be used to improve learning outcomes. They will also explore various AI-powered learning tools and develop their own AI-powered projects.
教學大綱
16 課程
超過 16 週課 1:
Class 1: Introduction to Artificial Intelligence
Class 1: Introduction to Artificial Intelligence 課 2:
Class 2: Understanding Chatbots
Class 2: Understanding Chatbots 課 3:
Class 3: How Chatbots Learn
Class 3: How Chatbots Learn 課 4:
Class 4: Natural Language Processing
Class 4: Natural Language Processing 其他詳情
父母的引導和規範
This course does not contain any content that may be upsetting or scary to learners.
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.
已加入 May, 2020
4.8
1279評論
熱門課程
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
Our instructor, Johnathan, brings a unique set of skills and experience to the table. With over 20 years of teaching experience, he has a Bachelor's degree in Computer Science and a passion for teaching conversational English to learners of all ages. Additionally, he has worked as a martial arts expert and has performed around the world with various circus teams, showcasing his many talents, including bubbleology, staff spinning, juggling, and stilt walking. As a successful serial entrepreneur, Jonathan has a wealth of knowledge in financial management and investment portfolio management, making him an expert in identifying and seizing opportunities. His diverse background and extensive experience make him the ideal instructor for this class on using AI for better learning.
