Learn to build multi-agent AI systems with CrewAI in about 45 minutes. Understand the crew/agent/task model, define specialized agents, create tasks, and build a real-world market research crew with analyst, researcher, and writer agents.
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Build a working AI agent from scratch in Python. Learn the think-act-observe loop, call an LLM, give your agent a tool it can use, and handle a failed tool call. Framework-agnostic and beginner-friendly.
Build autonomous AI agents with Python using LangChain and LangGraph. Learn tool calling, stateful workflows, RAG-powered agents, multi-agent systems, and production deployment. From the ReACT pattern to a full customer support agent capstone.
Master OpenAI Codex, the coding agent that works in your terminal and in the cloud. Learn the CLI with its three approval modes, run parallel sandboxed tasks with Codex Cloud, extend capabilities with the skills system, and coordinate multiple agents across large projects. Powered by GPT-5.3-Codex.
Master advanced Claude Code workflows including agent mode, multi-agent orchestration with subagents, custom slash commands and agents, hooks automation, memory systems, MCP server integrations, headless CI/CD pipelines, production agent systems, and enterprise team patterns.
Master database internals, indexing, and schema design for modern AI applications. Learn how SQL databases power production AI systems at TikTok, Uber, and Netflix. Build RAG systems, feature stores, and high-performance pipelines with PostgreSQL and pgvector.
Learn how to use AI tools like ChatGPT, Claude, Gemini, and Perplexity to understand cybersecurity, spot phishing and scams, secure your devices and accounts, protect your privacy, and defend against AI-powered threats like deepfakes. Built for university students and early-career learners with zero prior experience — no coding required. Earn a free certificate to add to your LinkedIn and resume.