FLEX Artificial Intelligence 101 AI Like Chatgpt by a Computer Scientist Pt2 8W1
What's included
8 pre-recorded lessons
8 weeks
of teacher support1 year access
to the contentHomework
1 hour per week. includedAssessment
includedClass Experience
Part 2 of 2 In this 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. The class will be divided into the following weeks and topics: 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. This 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. 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. 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.
Learning Goals
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 algorithms work and be able to write simple code to implement them
Syllabus
8 Lessons
over 8 WeeksLesson 1:
Social Skills:
Building Positive Peer Relationships
Lesson 2:
Responsibility & Accountability:
Staying Reliable
Lesson 3:
Coping with Frustration & Setbacks
Coping with Frustration & Setbacks
Lesson 4:
Study Habits for ADHD Learners
Study Habits for ADHD Learners
Other Details
Parental Guidance
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.
External Resources
Learners will not need to use any apps or websites beyond the standard Outschool tools.
Sources
"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.
Teacher expertise and credentials
1 teacher has a Bachelor's degree
Bachelor's Degree in Science from Brighton University UK
The course will be taught by a highly experienced 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. Additionally, the teacher has founded three successful companies before the age of 30 and understands the intricacies of financial management, making them an ideal guide for learners seeking to identify and seize opportunities to make money and manage their finances.
Reviews
Self-Paced Course
$18
weekly8 pre-recorded lessons
8 weeks of teacher support
Choose your start date
1 year of access to the content
Ages: 11-14