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Intro to AI and Machine Learning | AI Summer Camp for Teenagers

Class
Play
David Sofield
Popular
Average rating:4.9Number of reviews:(708)
This is an introduction to AI and Machine Learning, introducing learners to the foundations of these exciting fields. Students will complete three machine learning projects using real machine learning tools, Python code, and real data.

Class experience

US Grade 8 - 11
Beginner Level
 The goal of this class is for students start exploring the foundations of artificial Intelligence and more importantly be excited to continue learning more in the future.
Over 5,000 students from nearly 100 countries across a variety of platforms have started coding in one of my classes. I offer classes covering the foundations of Python and AI. I am the author of the soon-to-be released book All About Python for Kids.  Before teaching, I worked as a software developer for nearly 10 years. I've worked for organizations including Apple, Dell, and Best Buy. I believe the best way to learn is by doing and all my classes are based around hands-on projects that progressively build in difficulty.  I'm a graduate of Mount St. Mary's University in Emmitsburg, Maryland. I can't wait to meet your learner in the class and get started soon. 
Homework Offered
There will be review questions and practice assignments each day, taking approx. 1 hour to complete. Learners are also strongly encouraged to learn on their own outside of class time.
2 - 4 hours per week outside of class
Assessments Offered
Grades Offered
Students will receive a certificate of completion at the end of the class that is fully verifiable online. Students must attend at least 8 classes to receive the certificate.
To succeed in this class, learners should have a strong grasp of coding fundamentals 
including conditional statements, functions, loops, and arrays/lists.  
Students will use Google Colab during this class and will need a Google Account to access Colab. Colab is a browser-based code editor and there are no minimum hardware requirements for student computers. Students will need a reliable Windows, Mac, or Linux laptop or desktop for this class. 
Learners will use Google Colab during this class and will need a Google Account to access Colab. Students will also utilize the following Python libraries, including Scikit-learn, NumPy, Matplotlib, Seaborn, and Pandas throughout the class. The documentation (instructions) for these libraries will be used as a reference throughout the course. UC Irvine ML Repository and Kaggle datasets will be used for practice datasets throughout the class. Teachable Machine and ML Playground are low code/ no code platforms for machine learning projects. Python.org and W3schools will be used a Python reference sources throughout the class. 

***Intro to AI and ML Class Prerequisites ****
To succeed in this class, learners should have a strong grasp of coding fundamentals 
including conditional statements, functions, loops, and arrays/lists. Learners should have completed comprehensive multi-week beginner level coding classes before starting this course. Any programming language is fine, such as Python, Java, JavaScript, C / C++, or Swift. There will be a brief review during the first few classes using Python. There are many excellent beginner Python courses available through Outschool. 
Popular
Average rating:4.9Number of reviews:(708)
Profile
With over a decade of coding experience and a passion for education. I have helped over 5,000 students from nearly 100 countries start their coding journey. I offer classes covering the foundations of Python, AI and Machine Learning. I aim to... 
Group Class

$150

weekly or $300 for 10 classes
5x per week, 2 weeks
60 min

Live video meetings
Ages: 12-17
6-12 learners per class

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