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AdvancedHands-on Lab

Class 10

Build Your First AI Agent

Introduce agentic AI — tools, memory, instructions, data, actions, guardrails, and approvals — and ship a working agent.

10 hours 15 lessons Hands-on lab + capstone project
Level
Advanced
Duration
10 hours
Lessons
15 lessons
Format
Hands-on lab + capstone project
Tracks
Business, Work
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Course overview

The top of the LifeQuest ladder. An agent is not a chatbot: it has instructions, tools it can use, memory, access to data, and the ability to take multi-step action toward a goal. This capstone class covers how agents are designed, where they break, how to constrain them responsibly, and how to build one that solves a real problem you have.

Who this is for

  • Graduates of AI Automation Lab
  • Operators ready to delegate whole processes
  • Technically curious learners who still do not want to code
  • Anyone who has built automations and wants adaptive behavior

What you’ll learn

  • What an agent is, and what it is not
  • Instructions and role definition
  • Tools: giving an agent capabilities
  • Memory: short-term and persistent
  • Data and knowledge access
  • Actions and side effects
  • Guardrails and permission boundaries
  • Human approval checkpoints
  • Multi-step task decomposition
  • Testing, observing, and improving an agent
  • Cost, reliability, and when not to use an agent

Curriculum

6 modules · 15 lessons
  • Workflow versus agent
  • When adaptive behavior is worth the complexity
  • Realistic expectations
  • Instructions and objectives
  • Tools and capabilities
  • Memory and state
  • Knowledge and data access
  • Permission boundaries
  • Approval checkpoints
  • What an agent must never do alone
  • Logging and observability
  • Task decomposition
  • Handling failure mid-task
  • Knowing when to stop and ask
  • Choosing a problem worth an agent
  • Platform options compared
  • Build session one: instructions and tools
  • Build session two: data and memory
  • Build session three: guardrails and approvals
  • Testing against real scenarios
  • Measuring whether it actually helped
  • Presenting your agent or blueprint
  • Where to go next

Hands-on exercises

Define an agent specification: objective, tools, data, guardrails
Build and test a working agent (or a complete blueprint)
Run a failure review and document what you changed

Paired labs

Advanced 4 hours

Build Your First AI Agent

Design and ship an agent with real tools, real data, real guardrails, and a human approval checkpoint on anything consequential.

You leave with
A working agent or complete agent blueprint.

Agent platformZapierYour data source
Paired with 10 — Build Your First AI Agent

Expected outcomes

  • A working AI agent or a complete, credible agent blueprint
  • A guardrail and approval model you trust
  • The judgment to scope agents responsibly

Tools used

ChatGPT Agent tools or Claude An agent platform (no-code options provided) Zapier or Make A data source you control

Skills you build

Agent designGuardrails and approvalsTool integrationCapstone delivery

Instructor

Instructor Placeholder
LifeQuest AI Agentic Systems Faculty

Instructor details for this class are being finalized.

Top of the ladder

This is the LifeQuest capstone. From here, learners move into ongoing build sessions and community projects.

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Your Next Level Starts Here.

You don’t need to become an AI expert overnight. You need a starting point, a practical roadmap, and opportunities to put what you learn into action.

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