AI 101 to Hero
A practical path from 'what is an LLM?' to building and shipping your own AI features.
From first prompt to production systems.
A practical path from 'what is an LLM?' to building and shipping your own AI features.
Use AI assistants in desktop apps and your browser: chat, files, voice, extensions and privacy basics.
Go further with projects, long documents, browser and desktop agents, safe automation and review habits.
What plugins, extensions and reusable skills are, how assistants use them, and how to vet them before you trust them.
What MCP is, how clients and servers connect, its tools, resources and prompts, and how to build and secure a server.
Build, run and secure systems that stay up.
Why infrastructure as code matters, declarative thinking, Terraform and OpenTofu basics, state, modules and CI pipelines.
Core cloud ideas for any provider: compute, storage, networking, identity, a safe free-tier VM and cost control.