Available bilingual course
AI Agents Explained: Tools, Memory, RAG, and Guardrails
Understand the components that turn model output into bounded action
A bilingual lesson explaining agent loops, tools, context and memory, retrieval-augmented generation, guardrails, evaluation, and responsible authority boundaries.
Complete bilingual lesson experience
English 13:09 · Spanish 14:23. Each language has its own synchronized video, captions, transcript, chapters, and saved position.
Choose the matching-language free preview before purchase. Closed captions offer Automatic / On / Off. Full courses stream online; paid offline downloads are not included.
Supporting materials include learning objectives, an educational notice, knowledge checks, and APA-formatted source references. The free Ethereum introduction stays bundled for offline use.
Learning objectives
- Distinguish an agent loop from a single language-model request.
- Compare the roles of tools, working memory, durable memory, and retrieval-augmented generation.
- Identify where permissions, validation, human review, and guardrails constrain agent behavior.
Educational notice
For educational purposes only. Agent designs require context-specific security, privacy, legal, and human-oversight review.