Agent Building
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Agent Discovery
Compare traditional workflows, AI workflows, assistants, and agents for a security-alert problem.
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Agent Design
Design a safe AI agent by defining its scope, tools, oversight, stop conditions, and output.
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Agent Foundations
Learn the foundations of building Python-based AI agents.
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Agent Building
Build a Security Investigation Agent with tools, context, memory, and evidence-based decisions.
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Agent Evaluation
Learn how to evaluate and improve the reliability of AI security agents.
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Agent Hardening
Learn how to identify security weaknesses in AI agents and harden them against attack.
Topic Rewind Recap
Lock in what you learned with a recap. Earn points and keep your streak.
The future is agentic. Prepare yourself for it by learning the fundamentals of building agents.
This module teaches a repeatable, methodology-first framework for building AI agents: Discovery, Design, Foundations, Building, Evaluation, and Hardening. All Using a single evolving case study, the Atlas Research Agent. Learners go from deciding whether an agent is worth building through to shipping a working, evaluated, and security-hardened agent mapped to the OWASP Agentic Top 10.
What are modules?
A learning pathway is made up of modules, and a module is made of bite-sized rooms (think of a room like a mini security lab).
