Learner ID: Generating...

Curriculum Map

This is the main campaign. Each stage includes lessons, points, and a stage-clear reward that pushes you toward graduation.

You must pass this lesson exam before the next lesson unlocks. Exams include multiple-choice and true/false questions.

Pass rule: score at least 67% to clear this lesson.

Learning HUD

Live Points

Total Points

0

Lessons

0/20

Stages

0/5

Assignments

0/5

Keyword Map for the Main Curriculum

Each stage of the curriculum now lines up with tutorial-style search intent, so the page can capture both broad AI agent course queries and specific implementation long tails.

AI Agent Tutorial

Broad tutorial intent from learners who want a structured path to build and ship agents.

  • ai agent tutorial
  • ai agent course
  • how to build ai agents
Open Curriculum

Function Calling Tutorial

High-fit intent tied to tool invocation, schema design, and agent execution contracts.

  • function calling tutorial
  • tool calling tutorial
  • openai function calling tutorial
Open Lesson 2-1

MCP Tutorial

Model Context Protocol remains a strong tutorial cluster for tool integration and context plumbing.

  • mcp tutorial
  • model context protocol tutorial
  • mcp server tutorial
Browse MCP Resources

LangGraph and Multi-Agent Workflow

Search intent is strongly implementation-focused around orchestration, state machines, and multi-agent design.

  • langgraph tutorial
  • multi-agent workflow tutorial
  • crewai tutorial
Open Lesson 3-1

Prompt Injection Defense

Security long tails are specific and actionable, which makes them good targets for lessons and checklists.

  • prompt injection defense
  • ai agent security checklist
  • agent prompt injection tutorial
Open Lesson 2-3

Agent Testing and Observability

Teams searching for production readiness want testing, evals, traces, latency, and success-rate guidance.

  • ai agent testing
  • ai agent observability
  • agent evals tutorial
Open Lesson 4-1

Lv.1 · STAGE-1

Starter Zone: Agent Skill Fundamentals

Understand how a Skill is structured and how inputs, outputs, and execution rules work.

Stage Progress

0%

Stage bonus +120 points

  • 1Ready+30

    What a Skill Is and Why It Is the Atomic Ability of an Agent

    Learn the boundary between Skills, Prompts, Tools, and Workflows.

    Open Lesson
  • 2Locked+35

    Skill File Structure and the Smallest Working Template

    Cover inputs, outputs, dependencies, and error handling as the four essentials.

    Locked
  • 3Locked+35

    From Copying to Refactoring: Safely Absorbing Open-Source Skills

    Avoid blindly reusing unknown scripts and build a whitelist and audit habit.

    Locked
  • 4Locked+40

    Local Debug Loop: Logs, Breakpoints, and Regression Checks

    Build an engineering loop of change, verification, and rollback.

    Locked
Clear every lesson in this stage to receive the stage bonus automatically.

Lv.2 · STAGE-2

Advanced Instance: Prompt and Tool Design

Break tasks into reusable Skills to reduce token cost and failure rate.

Stage Progress

0%

Stage bonus +180 points

  • 1Locked+45

    Function Calling and Tool Description Design

    Turn natural-language requests into structured tool interfaces.

    Locked
  • 2Locked+45

    Prompt Layers: System Rules, Task Rules, and Guard Rails

    Build a controllable multi-layer prompting structure.

    Locked
  • 3Locked+50

    Input Validation and Prompt Injection Defense

    Add schema validation and privilege boundaries to each Skill.

    Locked
  • 4Locked+45

    Skill Reuse and Version Management

    Use versioning and compatibility rules to avoid production blowups.

    Locked
Clear every lesson in this stage to receive the stage bonus automatically.

Lv.3 · STAGE-3

Team Battle: Multi-Agent Orchestration

Split complex problems into coordinated tasks across multiple agents.

Stage Progress

0%

Stage bonus +220 points

  • 1Locked+55

    LangGraph State-Machine Orchestration

    Define nodes, state transitions, and failure recovery in a graph.

    Locked
  • 2Locked+55

    AutoGen and CrewAI Multi-Role Collaboration

    Learn planner, executor, and reviewer collaboration chains.

    Locked
  • 3Locked+50

    Workflow Platforms: Dify, Flowise, and n8n

    Use low-code orchestration and visual debugging for agent workflows.

    Locked
  • 4Locked+60

    Observability: Trace, Latency, and Success Rate

    Build the three core health signals for an agent system.

    Locked
Clear every lesson in this stage to receive the stage bonus automatically.

Lv.4 · STAGE-4

Elite Rank: Quality and Safety

Upgrade a Skill from runnable to maintainable, reviewable, and production-ready.

Stage Progress

0%

Stage bonus +280 points

  • 1Locked+60

    Skill Testing Strategy

    Combine unit tests, scenario tests, and regression tests.

    Locked
  • 2Locked+65

    Security Review Checklist and Risk Grading

    Set a release gate for risk before publishing.

    Locked
  • 3Locked+55

    Cost Governance: Tokens, Concurrency, and Cache Strategy

    Lower per-run cost and make operating cost predictable.

    Locked
  • 4Locked+65

    Release Flow: Gradual Rollout and Rollback

    Define a release SOP that can recover from production mistakes.

    Locked
Clear every lesson in this stage to receive the stage bonus automatically.

Lv.5 · STAGE-5

Master Trial: Full 0-to-1 Build

Complete a full capstone project and build a reusable Agent Skill portfolio.

Stage Progress

0%

Stage bonus +350 points

  • 1Locked+70

    Scoping: Choose a Real Business Scenario and Metrics

    Define success criteria around an actual problem.

    Locked
  • 2Locked+80

    Build: Implement 3 Reusable Skills

    Ship retrieval, execution, and review Skills as a set.

    Locked
  • 3Locked+80

    Acceptance: Run Performance and Security Reviews

    Produce a test report and a security report.

    Locked
  • 4Locked+90

    Release: Publish the Project and Write the Retrospective

    Turn the project into a reusable public case study.

    Locked
Clear every lesson in this stage to receive the stage bonus automatically.

Assignment Board

0 to 1

Each stage has at least one assignment. Treat every submission as a checkpoint and record what failed and how you fixed it.