Traditional AI and Machine Learning
Courses
- Break into AI: Data Annotation Essentials
- Responsible AI Development with GitHub Copilot
- Python for AI Projects: From Data Exploration to Impact
- Security Risks in AI and Machine Learning: Categorizing Attacks and Failure Modes
- Deep Learning: Model Optimization and Tuning
- AI Reasoning Models in Practice: Building an AI-Powered Coach
- Deep Learning with Python and Keras: Build a Model for Sentiment Analysis
- Build with AI: Create a Context-Aware Multi-Agent System Using LLMs + MCP
- Build with AI: SQL Agents with Large Language Models
- Hugging Face Transformers: Introduction to Pretrained Models
- Exploring Deterministic LLM Programming
- Local AI: Build a RAG Model from Scratch with Open-Source Tools
- Hands-On Introduction to PyTorch for Machine Learning
- Developing with gpt-oss Models
- Mastering Reasoning Models: Algorithms, Optimization, and Applications
- AI Workshop: Hands-on with GANs using Dense Neural Networks
- Build with AI: LLM-Powered Data Analysis App with Python and Streamlit
- Generative AI: Introduction to Diffusion Models for Text Generation
- AI Workshop: Build a Neural Network with PyTorch Lightning
- Build Local AI Agents with Gemma and Ollama
- Build with AI: LLM-Powered Applications with Streamlit
- AI Workshop: Hands-on with GANs using Deep Convolution Networks
- Hands-On AI: Building Your First LLM-Powered App
- Spatial Machine Learning and Statistics in Python