AI & Machine Learning
Master the tools reshaping every industry
From prompt engineering to building custom ML models, learn to harness artificial intelligence as a practical skill. Hands-on projects with real-world applications — no PhD required.
Available Classes
Enroll in individual classes or take the full program
AI Foundations
Introduction to artificial intelligence concepts, history, and current landscape. Understand how AI systems work at a high level and where they are headed.
Mon/Wed 6-9 PM
Topics Covered
- What is AI
- Machine Learning vs Deep Learning
- Neural Networks Basics
- AI Ethics & Safety
- Current AI Landscape
Prompt Engineering & AI Workflows
Master the art and science of communicating with large language models. Build production-ready AI workflows that automate real business processes.
Mon/Wed 6-9 PM
Topics Covered
- Prompt Design Patterns
- Chain-of-Thought Reasoning
- RAG Systems
- AI Agent Architectures
- API Integration
Machine Learning Fundamentals
Hands-on introduction to building ML models. Train, evaluate, and deploy models using Python and popular ML frameworks.
Tue/Thu 6-9 PM
Topics Covered
- Python for ML
- Supervised Learning
- Unsupervised Learning
- Model Evaluation
- scikit-learn & PyTorch
LLM Integration & Deployment
Build and deploy applications powered by large language models. Fine-tuning, embeddings, vector databases, and production deployment patterns.
Tue/Thu 6-9 PM
Topics Covered
- Fine-Tuning LLMs
- Embeddings & Vector DBs
- Production Deployment
- Cost Optimization
- Monitoring & Eval
Full Curriculum
Everything you'll learn across all classes in this program
AI Foundations
2 weeks- What is AI
- Machine Learning vs Deep Learning
- Neural Networks Basics
- AI Ethics & Safety
- Current AI Landscape
Prompt Engineering & AI Workflows
3 weeks- Prompt Design Patterns
- Chain-of-Thought Reasoning
- RAG Systems
- AI Agent Architectures
- API Integration
Machine Learning Fundamentals
4 weeks- Python for ML
- Supervised Learning
- Unsupervised Learning
- Model Evaluation
- scikit-learn & PyTorch
LLM Integration & Deployment
3 weeks- Fine-Tuning LLMs
- Embeddings & Vector DBs
- Production Deployment
- Cost Optimization
- Monitoring & Eval
Career Outcomes
What you'll be able to do after completing this program
- Build and deploy AI-powered applications
- Design effective prompts for any LLM
- Train and evaluate ML models
- Integrate AI into existing business workflows
- Understand AI safety and ethical considerations
Prerequisites
What you need before starting this program
- Basic computer literacy
- Willingness to learn Python (we teach it)
- No prior AI or programming experience required for beginner classes
Ready to get started?
Have questions about the AI & Machine Learning program? Reach out and we will help you find the right classes for your goals.