Beginner
You have never built anything with AI. Start with the basics and learn what an agent is, piece by piece.
AIVAX Learn
Understand AI agents from the first concept to production, with visual, hands-on lessons written for people who do not come from computing.
You have never built anything with AI. Start with the basics and learn what an agent is, piece by piece.
You write software and want to design, connect, test and ship agents with confidence.
You lead a team or a company and need to decide where agents create value, what they cost and what risks to manage.
Beginner
Introduction What Learn is, how to use it, and a plain-language introduction to artificial intelligence for people who have never studied computing.
Beginner
Agents How a language model becomes an agent: context, tools, skills, guardrails, knowledge, connections to the world and to other agents, and the instructions that hold it all together.
Beginner
Teaching agents How to give an agent knowledge it was never trained on: what RAG is, how to find, write and prepare documents, how to measure whether the agent sticks to them, and how to feed context that changes over time.
Beginner
Prompt engineering and context The anatomy of a prompt, the techniques that make models reliable, how tokens and the context window drive cost, how memory works, and the mistakes almost everyone makes first.
Intermediate
Models and parameters Model families and how to choose between them, the parameters that change behaviour, multimodal inputs, embeddings and semantic search, and when reasoning models are worth their cost.
Intermediate
Tools and integrations Function calling step by step, the Model Context Protocol, authentication and permissions for tools, channels such as WhatsApp, web chat, e-mail and voice, and webhooks, events and automations.
Advanced
Advanced agents and workflows Planning and reasoning loops, multi-agent architectures, human-in-the-loop approvals, error handling with retries and fallbacks, and long-running asynchronous agents.
Intermediate
Quality, evaluation and observability How to test and evaluate agents, which metrics matter, how to log, trace and monitor in production, how to improve from real conversations, and how to A/B test prompts and models.
Intermediate
Safety, ethics and compliance Prompt injection and jailbreaks, privacy under LGPD and GDPR, bias and responsible AI, content moderation and usage policies, transparency and human escalation.
Advanced
Production and scale Cost optimisation and caching, performance and latency practices, versioning of prompts, agents and knowledge, and a deployment checklist before going live.
Beginner
Practical guides and case studies Step-by-step builds for support, sales and internal assistants, common use cases by industry, a glossary and cheat sheet, and FAQ with learning paths by profile.Each module groups a handful of short units. A unit explains one idea with diagrams, step-by-step animations, charts and small interactive demos, then ends with a knowledge check. Units take between eight and fifteen minutes.
Your progress is stored in this browser only. Mark a unit as complete at the end of the page, or move to the next unit and it is marked for you. Nothing is sent to a server.
Learn is about concepts, not product screens. When a unit mentions something you can do on AIVAX today, it links to the matching page in the Documentation.