AI Agents
Tool use, agent loops, and when agents beat simple prompts
intermediate
AI APIs
Calling LLM APIs from code with keys, requests, and streaming
intermediate
AI Fundamentals
Core concepts, types of AI, and essential terminology for developers
beginner
Embeddings
Vector representations, similarity search, and practical use cases
intermediate
Large Language Models
Transformers, tokens, context windows, and what LLMs can and cannot do
intermediate
Machine Learning Basics
Supervised and unsupervised learning, training, and inference for developers
beginner
Neural Networks
Layers, weights, forward passes, and activation functions explained
intermediate
Prompt Engineering
System and user messages, few-shot examples, chain-of-thought, and practical tips
intermediate
RAG Basics
Retrieval-augmented generation pipeline for developer applications
intermediate
Responsible AI
Bias, hallucinations, privacy, and human oversight for production AI
beginner