Registration Begins Friday, August 7 at 8 a.m.

Registration Begins Friday, August 7 at 8 a.m.
Computer Skills / INTRODUCTION TO MACHINE LEARNING WITH PYTHON (CODING) New Class
Python Programming

INTRODUCTION TO MACHINE LEARNING WITH PYTHON (CODING) New Class

Unlock the Power of Artificial Intelligence. Are you curious about the technology driving the modern world? Artificial Intelligence (AI) and Machine Learning (ML) are transforming every industry, from finance to healthcare. Whether you are a professional looking to upskill or a lifelong learner eager to understand how data drives decisions, this class is your gateway to the future. The course is designed to demystify complex concepts through practical, hands-on learning. We take you on a step-by-step journey, starting with the basics of Python and data exploration, moving through predictive modeling and pattern recognition, and concluding with an introduction to deep learning. Python installation instructions will be sent to students before the first class. Bring your laptop to every class.

Instructor: Avnit Bambah, abambah@google.com

Prerequisite: None

Location

Day(s)

Time

Date(s)

Duration

Price

Location

Palo Alto HS Rm 31
Wed
6:30–8:30 p.m.
Sep 16 - Nov 4
Wed, 6:30–8:30 p.m.
8 wks
8 wks
$160
Palo Alto HS Rm 31
MORE INFO

The highlight of the course is our Project Sprint—an immersive week where you will apply everything you’ve learned to build, optimize, and present your own functional machine learning model. You will leave with a portfolio-ready project and the confidence to discuss AI technology in any professional setting.

No prior computer science experience is required—just a curiosity about data and a willingness to learn. Don’t just watch the AI revolution from the sidelines—learn to build the tools that are driving it. Enroll today at the Palo Alto Adult School and start your journey into data science!

  • Week 1: Foundations of AI
  • Week 2: Data Exploration & Preprocessing
  • Week 3: Supervised Learning I – Regression
  • Week 4: Supervised Learning II – Classification
  • Week 5: Unsupervised Learning – Finding Patterns
  • Week 6: Deep Learning & Neural Networks
  • Week 7: The Capstone Project Sprint
  • Week 8: Presentation & AI Ethics
ACTIVITY

Final Project Presentations. Each student demonstrates their model, explains their findings, and discusses potential real-world improvements.

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