🤖  Montgomery College

Build AI.
Don't just
use it.

We teach students how AI works, how it's built, and how it impacts society — empowering creators, not just consumers.

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Neural Networks
Machine Learning
Deep Learning
Computer Vision
NLP
Transformers
Reinforcement Learning
Generative AI
Data Science
PyTorch
TensorFlow
Ethics in AI
Hackathons
Cloud Computing
AI Literacy
LLMs
Neural Networks
Machine Learning
Deep Learning
Computer Vision
NLP
Transformers
Reinforcement Learning
Generative AI
Data Science
PyTorch
TensorFlow
Ethics in AI
Hackathons
Cloud Computing
AI Literacy
LLMs
6+
Programs
Curiosity
All
Majors Welcome
0
Experience Required
We don't just teach you to use AI tools. We teach you to understand, build, and shape the systems behind them.

“AI literacy means understanding how AI systems are built and trained, knowing their limitations, being able to build or modify basic AI models, and thinking critically about where AI should and shouldn't be used. It's about being an informed, capable participant in an AI-driven world.”

Mission

From users to creators.

Our mission is to promote AI literacy and creation across disciplines by teaching students how AI works, how it is built, and how it impacts society. Through hands-on projects, workshops, mentorship, and discussion, we equip students with the skills to design, train, evaluate, and responsibly deploy AI systems.

We emphasize both technical competence and ethical awareness so students can engage as informed creators, not passive users. From understanding models and data to discussing ethical implications — the club moves students from using AI to creating it.

  • Understand how AI systems actually work under the hood
  • Build real, working projects using machine learning and data
  • Develop technical and analytical skills that employers value
  • Strengthen your resume, portfolio, and interview readiness
  • Open to all majors — curiosity matters more than experience
  • No prior coding or AI experience required to join
TensorFlowTensorFlow
PythonPython
ChatGPTChatGPT
JupyterJupyter
HuggingFaceHuggingFace
KaggleKaggle
Neural Networks
Machine Learning
Deep Learning
Computer Vision
NLP
Transformers
Reinforcement Learning
Generative AI
Data Science
PyTorch
TensorFlow
Ethics in AI
Hackathons
Cloud Computing
AI Literacy
LLMs
Neural Networks
Machine Learning
Deep Learning
Computer Vision
NLP
Transformers
Reinforcement Learning
Generative AI
Data Science
PyTorch
TensorFlow
Ethics in AI
Hackathons
Cloud Computing
AI Literacy
LLMs
🧠

Neural Networks

Understand how AI is built, trained, and evaluated — from perceptrons to transformers and diffusion models.

💻

Hackathons

Compete in team-based coding events. Build real AI projects under time pressure and present your work.

📁

Projects

Hands-on experience building recommendation systems, classifiers, chatbots, and vision pipelines.

☁️

Cloud VMs

Access GPU-accelerated cloud virtual machines for training models and running large-scale experiments.

📚

Resources

Curated learning paths, cheatsheets, and roadmaps — beginner to advanced AI practitioner.

🗓️

Weekly Events

Tech talks, guest speakers from industry, social mixers, and collaborative study sessions every week.

This semester: learn the foundations. Build something real. Present it to the world.
Weeks 1–3

Foundations of AI

What is AI? Machine learning basics, data literacy, and hands-on Python exercises.

Weeks 4–6

Building Models

Train your first neural network. Datasets, training loops, evaluation metrics.

Weeks 7–9

Applied Projects

Build a real project — classifiers, chatbots, or recommendation engines with your team.

Weeks 10–12

Ethics & Presentation

Explore AI ethics, bias, and safety. Present your project to the club and guests.

Accessibility

Without dumbing
it down.

Do I need to be a CS major?

No. The club is open to all majors. We start from fundamentals and build up. Whether you're in CS, business, health, art, or education — curiosity matters more than experience.

Will I need prior coding experience?

No prior experience is required. We teach step-by-step and run beginner-friendly workshops before advancing. Members grow at their own pace.

What if I'm already experienced?

Advanced members can lead workshops, mentor beginners, dive into research, or tackle complex projects with GPU cloud resources. There's always a next level.

📋⚖️🧠
Get Started

Ready to build
the future?

No prerequisites. No experience needed. Just curiosity and the willingness to learn.