Coming Soon - The Most Complete Agents Course

Build AI Agents that Think and Act Autonomously

The definitive course to master AI agents. From ReAct to multi-agent systems in production. What I use daily at AnswerAI.

5 hours6 modulesadvancedComing Soon

Coming Soon

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Autonomous Agents

Build AI that makes decisions and executes actions

Multi-Agent

Coordinate teams of agents for complex tasks

Real Production

AnswerAI patterns that scale

Building Products in Silicon Valley

Impossible Foods
AnswerAI
Oracle
LastRev
Dropbox
Coalition
Marqeta
Beacon Capital
UW Health
Dispelix
TA Realty

Ainda Entregando

761 contributions em todo 2025.
896 em 5 semanas de 2026.

Desde que uso Claude Code, meu ritmo de entregas acelerou 6x. Este e meu GitHub real.

2025 — Ano completo
GitHub contributions 2025 - 761 contributions
0
2026 — Janeiro + Fevereiro
GitHub contributions 2026 - 896 contributions in 5 weeks
0

A ferramenta mudou. Os resultados falam.

Course Content

What You'll Build

01

Agent Fundamentals

What are AI agents, how they think, and why they're different from chatbots.

Agents vs Chatbots
Agent mental architecture
Real use cases
02

ReAct and Chain of Thought

The fundamental patterns that allow agents to reason and act.

ReAct pattern
Chain of Thought
Tool calling strategies
03

LangGraph Fundamentals

Build state graphs to orchestrate complex agents.

State and nodes
Edges and conditions
Cycles and loops
04

Multi-Agent Systems

Coordinate multiple agents to solve complex problems.

Supervisor pattern
Hierarchical agents
Communication protocols
05

Memory and Context

Implement short and long-term memory for persistent agents.

Working memory
Long-term memory
Context management
06

Production and Observability

Deploy agents to production with logging, tracing, and monitoring.

LangSmith integration
Error handling
Cost optimization

Why Learn This

Why This Course

Build agents that reason like humans

Master LangGraph from scratch to production

Implement coordinated multi-agent systems

Learn real production patterns from AnswerAI

Optimize token costs in agentic systems

Advanced debugging with LangSmith

Persistent memory for long conversations

Scalable enterprise architectures

Production-ready agent templates

1,000+ Active Developers

1,000+ developers are already learning AI development with these techniques”

What Students Say

Success Stories

The most complete agent course I found in Spanish. Max explains architectures you don't see anywhere else.
RS

Roberto S.

AI Engineer

Peru 🇵🇪
Went from using ChatGPT to building multi-agent systems in production. The difference is massive.
ML

Maria L.

Full-Stack Developer

Argentina 🇦🇷
LangGraph seemed complex until I saw this course. Now I have agents running in production.
PG

Pablo G.

Tech Lead

Chile 🇨🇱

Frequently Asked Questions

What's the difference from using ChatGPT or Claude directly?+

Agents can reason, plan, use tools, and execute complex tasks autonomously. A chatbot only responds, an agent acts.

Do I need to know machine learning?+

No. The course focuses on using existing models like Claude. You don't train models, you orchestrate them to create intelligent systems.

Why LangGraph and not other libraries?+

LangGraph is the emerging standard for production agents. It's what we use at AnswerAI and what the best AI startups use.

Can I build products with this?+

Absolutely. The course is designed so you can build real products. Includes production-ready architectures.

When does the course launch?+

I'm recording the content now. Early adopters on the waitlist will get early access and an exclusive discount.

Be Among the First to Master AI Agents

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Skills para engenheiros de verdade

Receba as notas de workflow de AI coding

Updates curtos sobre skills, handoffs, testing e code review — as partes do desenvolvimento com IA que sobrevivem ao código real.