Your learning path through AI, follow the protocols in order or jump to what interests you.
What AI is, how it reasons, why it works.
Deep neural networks, CNNs, RNNs, generative models.
From text to language models: tokenization, attention, GPT.
Prompts, APIs, RAG, agents, MCP: build real AI systems.
Attack and defend AI systems: injection, jailbreaks, agentic risks.
Ethics, literacy, meta-skills, the human edge.