Free · 3 minutes · No signup

Are you ready to be an LLM Agent Architect?

Free 3-minute LLM agent skill check. Context windows, RAG, temperature, prompt safety, and embeddings — instant results, no signup.

Instant results. No account needed.

What this check covers

1
LLM fundamentals
Agents are limited by their context window — understanding this constraint drives architecture decisions.
2
RAG
Agents need retrieval to access information beyond their training data.
3
Inference controls
Deterministic agent behaviour requires careful temperature and sampling configuration.
4
AI safety
Agents with tool access are high-risk targets for prompt injection — safety is non-negotiable.
5
Embeddings
Semantic search powers the memory and retrieval systems that make agents useful.

Agent Architect is a role worth aiming for

This platform is built to get you into roles like Agent Architect — this quick check is step zero.

Your result is a roadmap

You get an instant snapshot of your strengths and the exact gaps to close next.

Built for career changers

No account, no code, no pressure — just an honest read on where you're starting from.

The course

What you'll learn

12 modules · 65 lessons · 10 hands-on projects. Your placement result maps straight onto this path.

Module 15 lessons

Module 0 — Foundations: LLMs, Prompts, Tools & the Agent Toolkit

Module 25 lessons

Agent Foundations

Module 35 lessons

Tool Use

Module 45 lessons

Agent Loops

Module 55 lessons

Memory Systems

Module 65 lessons

Multi-Agent Systems

Module 75 lessons

RAG for Agents

Module 85 lessons

Production Agents

Module 95 lessons

Advanced Patterns

Module 107 lessons

MCP & Agent Protocols

Module 117 lessons

Agent Harness Engineering

Module 126 lessons

Modern Agent Frameworks

Outcomes

What you walk away with

The skill check is just the on-ramp. Finish the track and you leave with proof, not just knowledge.

A working project, graded
Build a real project and get an AI review against a professional rubric.
A verified skill profile
See exactly where you stand across the competencies employers test for.
Production-grade patterns
Learn the patterns teams actually ship — not toy demos.
A portfolio you can share
Completed projects live in a public portfolio you can send to employers.
A certificate on completion
Earn a shareable certificate when you finish the track.

Frequently asked questions

What is an LLM Agent Architect?

Someone who designs AI systems where language models autonomously use tools, make decisions, and complete multi-step tasks — think AI assistants, coding agents, and research agents.

How is this different from the Generative AI check?

Same foundational questions, because agent architecture builds on LLM fundamentals. The full courses diverge into tool use, planning, memory systems, and multi-agent orchestration.

What experience do I need?

Programming experience helps, but this quick check tests conceptual understanding. The full course teaches you to build agents from scratch.

Three minutes. Five questions.

Find your starting point as an Agent Architect — instantly, no signup.