Video course · 15 chapters · 144 min · certificate
AI Agents: The Most Valuable Skill You Can Learn
Learn the most valuable AI skill for founders and teams: what agents really are, the observe-think-act loop, and how to tune them with context, memory, MCP tools and skills inside an Agent OS.
What you'll learn
- Explain the shift from chat to agents
- Describe the observe-think-act loop
- Tune an agent with context files and CLAUDE.md
- Build a self-improving memory system
- Connect tools safely with MCP
- Write skills as SOPs and organize an Agent OS
Chapters
15 chapters · 144:11-
1:21
01Intro Members
Why agents now
Every company must put AI at the centre of operations or lose to one that does.
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2:43
02Shift Members
From chat to agents
Stage one was chat models; stage two is agents, and agent users are far more productive.
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7:04
03Definition Members
What 'agent' actually means
Cutting through hype: an agent is a model working toward a goal in a loop.
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6:53
04Loop Members
The observe-think-act loop
Agents look at the situation, decide the next step and do it, repeatedly.
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2:23
05Demo Members
Live demo: analysing Reels
An agent analyses 60 Instagram Reels and produces a report on what works.
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2:21
06Tuning Members
Tuning versus building
A raw agent is generic; tune it with three pillars: context, tools and skills.
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21:18
07Context Members
Context and CLAUDE.md
Context is everything the agent should already know, stored in files like CLAUDE.md.
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8:03
08Memory Members
Self-improving memory
Memory and lessons files let the agent learn from corrections and improve over time.
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7:15
09Tools Members
MCP connectors
MCP is a universal translator connecting agents to tools like Slack, Gmail and Calendar.
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2:58
10Security Members
Security and permissions
Weighing the trade-off between connecting tools and the risks involved.
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16:02
11Tools Members
A starter tool stack
Six core tools to connect, from Apify for scraping to Composio for integrations.
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29:13
12Skills Members
Skills as SOPs
Skills are standard operating procedures for AI: a playbook for recurring tasks.
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19:12
13Organization Members
The Agent OS folder structure
Organizing context, memory, skills and projects in a clear folder structure.
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9:34
14Future Members
Teams and intrapreneurship
Two AI layers in business: personal operating systems and company-wide systems, and the rise of intrapreneurs.
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7:51
15Wrap-up Members
Quickfire questions
Rapid-fire questions and final thoughts on adopting agents.
Jobs this course suits
Our AI checked this course against 500 jobs; these get the most out of it. Each job links to its learning path.