Course Overview

AI in Practice · Agentic · Professional

AI Agent Adoption

The business path to deploying agents: making the case, managing the risk, and knowing when not to

Where the Agentic track covers architecture and governance, this course covers the commercial side: which use cases justify the overhead, what agents cost to operate, and what governance responsible deployment requires.

When you complete this course, you'll be able to:

  • Explain the agent loop and tool calling as the mechanism of agency, and place any "agent" product accurately on the autonomy spectrum
  • Apply a cost-benefit framework that accounts for the real overhead of agent deployment: latency, token cost, reliability engineering, governance
  • Distinguish between use cases that justify agent complexity and those where a simpler pipeline would perform better

Duration

~2.5 hours

Modules

3 modules

Level

professional

Format

Self-paced online

Audience

Technical leaders, product owners & anyone making agent deployment decisions

Access period

12 months

$199

Full course · One-time payment · 12 months access

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  • All 3 modules · access on any device
  • Progress tracking
  • 12 months access from purchase

What you'll learn

  • Explain the agent loop and tool calling as the mechanism of agency, and place any "agent" product accurately on the autonomy spectrum
  • Apply a cost-benefit framework that accounts for the real overhead of agent deployment: latency, token cost, reliability engineering, governance
  • Distinguish between use cases that justify agent complexity and those where a simpler pipeline would perform better
  • Describe the oversight and governance framework that responsible agent deployment requires, including what legal, compliance, and risk teams will ask

Modules in the Course

1

What Agents Do

The agent loop, tool calling, and the spectrum from "LLM with a search button" to autonomous systems, with the vocabulary to place any product accurately.

Available 3 lessons ~50 mins
2

Where Agents Make Sense

Where agents outperform simpler alternatives, the cost and reliability trade-offs that determine when the complexity is justified, and the build-buy-platform decision.

Available 3 lessons ~50 mins
3

What You're Taking On

The operational reality of running agents in production: human-in-the-loop design, failure patterns that don't exist in traditional software, and what governance looks like for systems that act autonomously.

Available 3 lessons ~50 mins