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FLEX AI Hacking Your Real Life Artificial Intelligence Tech ChatGPT Pt 3 4W1

New class
Ages 7-7
Self-Paced Course
This course, explore how to use the latest AI technology to hack and improve various aspects of their daily life. Master Artificial Intelligence 101 for hacking your real life with AI Artificial Intelligence Technology like ChatGPT
Average rating:
4.8
Number of reviews:
(1,288 reviews)
Popular

4 pre-recorded lessons
4 weeks of teacher support
Choose your start date
1 year of access to the content

Enroll Now, Start Anytime

Go at your own pace
Your learner can start learning when they want and progress at the speed that works best for them.
Start when you want.
Learn at your own pace
Access course material for a full year.
Get hands-on support from teacher.

What's included

4 pre-recorded lessons
4 weeks
of teacher support
1 year access
to the content
Homework
1 hour per week. 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.
Assessment
Learner progress will be assessed through regular feedback and evaluation of homework assignments.

Class Experience

Part 3 of 4
This is the third 4 week section of a 4 part course. If you have not taken other parts, please look through our class listings page and start at the beginning to enjoy the full course.

In this class, learners will explore how to use the latest AI technology to hack their real life. Master Artificial Intelligence 101 for hacking your real life with AI Artificial Intelligence Technology like ChatGPT. From automating tasks to optimizing resources, this course will help students develop the skills needed to make their life easier and more efficient. Through a combination of online articles, case studies, and AI tools and platforms, students will be introduced to a range of AI applications, including chatbots, voice assistants, and predictive analytics.

The class will be divided into the following weeks and topics:

Week 9: Speech Recognition and Voice Assistants
This week, we will learn about speech recognition and voice assistants. We will understand the basics of speech recognition technology and how voice assistants can be used to automate tasks and improve user experience.

Week 10: Predictive Analytics and Machine Learning
This week, we will learn about predictive analytics and machine learning. We will understand how machine learning algorithms can be used to make predictions and automate decision-making, and the benefits and limitations of using AI for predictive analytics.

Week 11: Personalizing User Experiences with AI
This week, we will learn how AI can be used to personalize user experiences. We will discuss the benefits and limitations of using AI for personalization, and understand how AI can be used to improve user experience in various industries.

Week 12: AI in Education
This week, we will learn about the applications of AI in education. We will discuss how AI can be used to improve learning outcomes and automate tasks in the education sector and understand the benefits and limitations of using AI in education.

The flexible schedule (Recorded 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 specific next steps on how to improve or adapt.

The 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.

This course requires no prior experience. Join us today and discover the endless possibilities of using AI to hack your real life!

Learning Goals

Students will learn how to use AI technology to automate tasks, optimize their time and resources, and improve their overall quality of life. They will also learn about considerations and the responsible use of AI.

Syllabus

4 Lessons
over 4 Weeks
Lesson 1:
Class 1
 Class 1 
Lesson 2:
Class 2
 Class 2 
Lesson 3:
Class 3
 Class 3 
Lesson 4:
Class 4
 Class 4 

Other Details

Parental Guidance
No content warnings apply to this course.
Supply List
Only the teacher will be using online resources and online tools like ChatGPT, which will be shared in class via zoom by the teacher. The student is not required / expected to need any third-party apps, websites, or services to use as part of this 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.

Offered by

4.8
1288reviews
Popular
Profile
Teacher expertise and credentials
Bachelor's Degree in Science from Brighton University UK
Jo Reynolds BSc Money Business Video Games YouTube
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.

Reviews



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