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Learning Path◆·5 courses

Build AI Agents

Master the full AI agent lifecycle. From fundamentals to orchestration, deployment, security, and monetization of autonomous agent systems.

You'll Become

AI Agent Engineer capable of building, deploying, and selling production autonomous agent systems.

5courses
~9 hours 35 minTotal Duration
75lessons
Included Courses
5 milestones · ~9 hours 35 min
  1. 01AI Agents Fundamentals
  2. 02Building AI Agents
  3. 03MCP Mastery: Building AI-Powered Integrations with Model Context Protocol
  4. 04AI Agent Orchestration Mastery: Build, Deploy & Sell Autonomous Systems
  5. 05AI Agent Engineer Interviews: Design, Build & Deploy Production Agentic Systems
02 / Curriculum

The full roadmap.

Each milestone unlocks the next. Pause anytime — Nerdo remembers exactly where you stopped.
01
Beginner·35 min13 lessons

AI Agents Fundamentals

Understand what AI agents are, how they work, and when to use them. Perfect for business professionals and anyone curious about autonomous AI systems.

02
Intermediate·60 min20 lessons

Building AI Agents

Learn to build AI agents using modern frameworks and design patterns. Master agentic workflows, memory systems, error handling, and create your own research agent.

03
Intermediate·120 min16 lessons

MCP Mastery: Building AI-Powered Integrations with Model Context Protocol

Master the Model Context Protocol (MCP) to build powerful AI integrations. Learn to create MCP servers, expose tools and resources, and connect AI assistants like Claude to external systems. From fundamentals to production deployment.

04
Advanced·180 min21 lessons

AI Agent Orchestration Mastery: Build, Deploy & Sell Autonomous Systems

Master the art of building autonomous AI agent systems from scratch. Learn to set up agent harnesses, configure memory and identity systems, secure your deployments, build real-world automations, and monetize your skills — all hands-on.

05
Advanced·180 min5 lessons

AI Agent Engineer Interviews: Design, Build & Deploy Production Agentic Systems

Master AI agent engineering interviews for senior roles at Anthropic, OpenAI, Google, Meta, and AI-first companies. Go beyond theory — design AND build five production agentic systems from scratch. Covers tool-calling architectures, RAG-powered agents, multi-agent orchestration, autonomous task execution, and production safety guardrails. Each module pairs a design lesson with a hands-on lab where you implement a working agent system.

When you finish

Run a mock interview

Practice with Nerdo as your interviewer. We tailor the questions to this path and grade your performance at the end.

Practice for the interview
Ready when you are

Start with course one.

The first lesson unlocks 50 XP. Most learners finish the opening course in a single weekend.

Start Learning