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Code for Life USA is committed to equipping young people with the life and tech skills they will need to thrive in life. We provide a fun, safe and growing environment for students to thrive. Our Machine Learning class equips students with the skills they will need in the age of AI. Students will develop AI using core machine learning cutting-edge tools like NumPy, TensorFlow, Pandas, Hugging Face, Ollama, Jupyter notebooks, and other AI engineering tools. By the end of the course students will have begun to develop a robust AI development portfolio which will position them for the future of work.
Learning Experience
• Code for Life USA utilizes a project-based curriculum where students learn by doing.
• Students learn how to develop, organize, and present new AI and machine learning ideas and solutions using Jupyter notebooks for hands-on coding and documentation.
• The curriculum emphasizes building a professional portfolio, highlighting growth through projects utilizing powerful Python libraries (NumPy, Pandas), frameworks (TensorFlow), and platforms for natural language processing and generative AI (Hugging Face, Ollama).
• Each session is designed to be interactive, collaborative, and enjoyable, making machine learning and AI accessible and exciting for all participants.
• Code for Life instructors focus on teaching critical skills such as deep learning, and AI application development, ensuring students thrive in today’s digital economy.
• Courses foster creativity, problem-solving, and collaboration, preparing students for real-world challenges and ethical decision-making in advanced AI.
• Students gain practical experience with industry-standard libraries and tools, building digital confidence and technical expertise for future opportunities in technology.
Starts: Friday, September 19, 2025
Ends: Friday, June 26, 2026
We will meet from 4:30 PM to 6:30 PM
every Fri, & Sat
starting on 9/19/2025
and ending on 6/26/2026
Code for Life USA
9174053612
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256 E 138th St 3rd floor 256 E 138th St 3rd floor The Bronx, New York 10451 US
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